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Monday, January 15, 2024

Naturalism (philosophy)

From Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Naturalism_(philosophy)
Angel Falls in Venezuela: According to naturalism, the causes of all phenomena are to be found within the universe and not transcendental factors beyond it.

In philosophy, naturalism is the idea that only natural laws and forces (as opposed to supernatural ones) operate in the universe. In its primary sense it is also known as ontological naturalism, metaphysical naturalism, pure naturalism, philosophical naturalism and antisupernaturalism. "Ontological" refers to ontology, the philosophical study of what exists. Philosophers often treat naturalism as equivalent to materialism.

For example, philosopher Paul Kurtz argues that nature is best accounted for by reference to material principles. These principles include mass, energy, and other physical and chemical properties accepted by the scientific community. Further, this sense of naturalism holds that spirits, deities, and ghosts are not real and that there is no "purpose" in nature. This stronger formulation of naturalism is commonly referred to as metaphysical naturalism. On the other hand, the more moderate view that naturalism should be assumed in one's working methods as the current paradigm, without any further consideration of whether naturalism is true in the robust metaphysical sense, is called methodological naturalism.

With the exception of pantheists – who believe that Nature is identical with divinity while not recognizing a distinct personal anthropomorphic god – theists challenge the idea that nature contains all of reality. According to some theists, natural laws may be viewed as secondary causes of God(s).

In the 20th century, Willard Van Orman Quine, George Santayana, and other philosophers argued that the success of naturalism in science meant that scientific methods should also be used in philosophy. According to this view, science and philosophy are not always distinct from one another, but instead form a continuum.

"Naturalism is not so much a special system as a point of view or tendency common to a number of philosophical and religious systems; not so much a well-defined set of positive and negative doctrines as an attitude or spirit pervading and influencing many doctrines. As the name implies, this tendency consists essentially in looking upon nature as the one original and fundamental source of all that exists, and in attempting to explain everything in terms of nature. Either the limits of nature are also the limits of existing reality, or at least the first cause, if its existence is found necessary, has nothing to do with the working of natural agencies. All events, therefore, find their adequate explanation within nature itself. But, as the terms nature and natural are themselves used in more than one sense, the term naturalism is also far from having one fixed meaning".

History of naturalism

Ancient and medieval philosophy

Naturalism is most notably a Western phenomenon, but an equivalent idea has long existed in the East. Naturalism was the foundation of two out of six orthodox schools and one heterodox school of Hinduism. Samkhya, one of the oldest schools of Indian philosophy puts nature (Prakriti) as the primary cause of the universe, without assuming the existence of a personal God or Ishvara. The Carvaka, Nyaya, Vaisheshika schools originated in the 7th, 6th, and 2nd century BCE, respectively. Similarly, though unnamed and never articulated into a coherent system, one tradition within Confucian philosophy embraced a form of Naturalism dating to the Wang Chong in the 1st century, if not earlier, but it arose independently and had little influence on the development of modern naturalist philosophy or on Eastern or Western culture.

Ancient Roman mosaic showing Anaximander holding a sundial. One of the contributors to naturalism in ancient Greek philosophy

Western metaphysical naturalism originated in ancient Greek philosophy. The earliest pre-Socratic philosophers, especially the Milesians (Thales, Anaximander, and Anaximenes) and the atomists (Leucippus and Democritus), were labeled by their peers and successors "the physikoi" (from the Greek φυσικός or physikos, meaning "natural philosopher" borrowing on the word φύσις or physis, meaning "nature") because they investigated natural causes, often excluding any role for gods in the creation or operation of the world. This eventually led to fully developed systems such as Epicureanism, which sought to explain everything that exists as the product of atoms falling and swerving in a void.

Aristotle surveyed the thought of his predecessors and conceived of nature in a way that charted a middle course between their excesses.

Plato's world of eternal and unchanging Forms, imperfectly represented in matter by a divine Artisan, contrasts sharply with the various mechanistic Weltanschauungen, of which atomism was, by the fourth century at least, the most prominent ... This debate was to persist throughout the ancient world. Atomistic mechanism got a shot in the arm from Epicurus ... while the Stoics adopted a divine teleology ... The choice seems simple: either show how a structured, regular world could arise out of undirected processes, or inject intelligence into the system. This was how Aristotle… when still a young acolyte of Plato, saw matters. Cicero… preserves Aristotle's own cave-image: if troglodytes were brought on a sudden into the upper world, they would immediately suppose it to have been intelligently arranged. But Aristotle grew to abandon this view; although he believes in a divine being, the Prime Mover is not the efficient cause of action in the Universe, and plays no part in constructing or arranging it ... But, although he rejects the divine Artificer, Aristotle does not resort to a pure mechanism of random forces. Instead he seeks to find a middle way between the two positions, one which relies heavily on the notion of Nature, or phusis.

With the rise and dominance of Christianity in the West and the later spread of Islam, metaphysical naturalism was generally abandoned by intellectuals. Thus, there is little evidence for it in medieval philosophy.

Modern philosophy

It was not until the early modern era of philosophy and the Age of Enlightenment that naturalists like Benedict Spinoza (who put forward a theory of psychophysical parallelism), David Hume, and the proponents of French materialism (notably Denis Diderot, Julien La Mettrie, and Baron d'Holbach) started to emerge again in the 17th and 18th centuries. In this period, some metaphysical naturalists adhered to a distinct doctrine, materialism, which became the dominant category of metaphysical naturalism widely defended until the end of the 19th century.

Thomas Hobbes was a proponent of naturalism in ethics who acknowledged normative truths and properties. Immanuel Kant rejected (reductionist) materialist positions in metaphysics, but he was not hostile to naturalism. His transcendental philosophy is considered to be a form of liberal naturalism.

Hegel who together with Joseph von Schelling developed the form of natural philosophy recognised as Naturphilosophie

In late modern philosophy, Naturphilosophie, a form of natural philosophy, was developed by Friedrich Wilhelm Joseph von Schelling and Georg Wilhelm Friedrich Hegel as an attempt to comprehend nature in its totality and to outline its general theoretical structure.

A version of naturalism that arose after Hegel was Ludwig Feuerbach's anthropological materialism, which influenced Karl Marx and Friedrich Engels's historical materialism, Engels's "materialist dialectic" philosophy of nature (Dialectics of Nature), and their follower Georgi Plekhanov's dialectical materialism.

Another notable school of late modern philosophy advocating naturalism was German materialism: members included Ludwig Büchner, Jacob Moleschott, and Carl Vogt.

The current usage of the term naturalism "derives from debates in America in the first half of the 20th century. The self-proclaimed 'naturalists' from that period included John Dewey, Ernest Nagel, Sidney Hook, and Roy Wood Sellars."

Contemporary philosophy

A politicized version of naturalism that has arisen in contemporary philosophy is Ayn Rand's Objectivism. Objectivism is an expression of capitalist ethical idealism within a naturalistic framework. An example of a more progressive naturalistic philosophy is secular humanism.

The current usage of the term naturalism "derives from debates in America in the first half of the last century.

Currently, metaphysical naturalism is more widely embraced than in previous centuries, especially but not exclusively in the natural sciences and the Anglo-American, analytic philosophical communities. While the vast majority of the population of the world remains firmly committed to non-naturalistic worldviews, contemporary defenders of naturalism and/or naturalistic theses and doctrines today include Kai Nielsen, J. J. C. Smart, David Malet Armstrong, David Papineau, Paul Kurtz, Brian Leiter, Daniel Dennett, Michael Devitt, Fred Dretske, Paul and Patricia Churchland, Mario Bunge, Jonathan Schaffer, Hilary Kornblith, Leonard Olson, Quentin Smith, Paul Draper and Michael Martin, among many other academic philosophers.

According to David Papineau, contemporary naturalism is a consequence of the build-up of scientific evidence during the twentieth century for the "causal closure of the physical", the doctrine that all physical effects can be accounted for by physical causes.

By the middle of the twentieth century, the acceptance of the causal closure of the physical realm led to even stronger naturalist views. The causal closure thesis implies that any mental and biological causes must themselves be physically constituted, if they are to produce physical effects. It thus gives rise to a particularly strong form of ontological naturalism, namely the physicalist doctrine that any state that has physical effects must itself be physical. From the 1950s onwards, philosophers began to formulate arguments for ontological physicalism. Some of these arguments appealed explicitly to the causal closure of the physical realm (Feigl 1958, Oppenheim and Putnam 1958). In other cases, the reliance on causal closure lay below the surface. However, it is not hard to see that even in these latter cases the causal closure thesis played a crucial role.

In contemporary continental philosophy, Quentin Meillassoux proposed speculative materialism, a post-Kantian return to David Hume which can strengthen classical materialist ideas.

Etymology

The term "methodological naturalism" is much more recent, though. According to Ronald Numbers, it was coined in 1983 by Paul de Vries, a Wheaton College philosopher. De Vries distinguished between what he called "methodological naturalism", a disciplinary method that says nothing about God's existence, and "metaphysical naturalism", which "denies the existence of a transcendent God". The term "methodological naturalism" had been used in 1937 by Edgar S. Brightman in an article in The Philosophical Review as a contrast to "naturalism" in general, but there the idea was not really developed to its more recent distinctions.

Description

A 21st century image of the universe and a 1888 illustration of the cosmos

According to Steven Schafersman, naturalism is a philosophy that maintains that;

  1. "Nature encompasses all that exists throughout space and time;
  2. Nature (the universe or cosmos) consists only of natural elements, that is, of spatio-temporal physical substance – massenergy. Non-physical or quasi-physical substance, such as information, ideas, values, logic, mathematics, intellect, and other emergent phenomena, either supervene upon the physical or can be reduced to a physical account;
  3. Nature operates by the laws of physics and in principle, can be explained and understood by science and philosophy;
  4. The supernatural does not exist, i.e., only nature is real. Naturalism is therefore a metaphysical philosophy opposed primarily by supernaturalism".

Or, as Carl Sagan succinctly put it: "The Cosmos is all that is or ever was or ever will be."

In addition Arthur C. Danto states that Naturalism, in recent usage, is a species of philosophical monism according to which whatever exists or happens is natural in the sense of being susceptible to explanation through methods which, although paradigmatically exemplified in the natural sciences, are continuous from domain to domain of objects and events. Hence, naturalism is polemically defined as repudiating the view that there exists or could exist any entities which lie, in principle, beyond the scope of scientific explanation.

Arthur Newell Strahler states: "The naturalistic view is that the particular universe we observe came into existence and has operated through all time and in all its parts without the impetus or guidance of any supernatural agency." "The great majority of contemporary philosophers urge that that reality is exhausted by nature, containing nothing 'supernatural', and that the scientific method should be used to investigate all areas of reality, including the 'human spirit'." Philosophers widely regard naturalism as a "positive" term, and "few active philosophers nowadays are happy to announce themselves as 'non-naturalists'". "Philosophers concerned with religion tend to be less enthusiastic about 'naturalism'" and that despite an "inevitable" divergence due to its popularity, if more narrowly construed, (to the chagrin of John McDowell, David Chalmers and Jennifer Hornsby, for example), those not so disqualified remain nonetheless content "to set the bar for 'naturalism' higher."

Alvin Plantinga stated that Naturalism is presumed to not be a religion. However, in one very important respect it resembles religion by performing the cognitive function of a religion. There is a set of deep human questions to which a religion typically provides an answer. In like manner naturalism gives a set of answers to these questions".

Providing assumptions required for science

According to Robert Priddy, all scientific study inescapably builds on at least some essential assumptions that cannot be tested by scientific processes; that is, that scientists must start with some assumptions as to the ultimate analysis of the facts with which it deals. These assumptions would then be justified partly by their adherence to the types of occurrence of which we are directly conscious, and partly by their success in representing the observed facts with a certain generality, devoid of ad hoc suppositions." Kuhn also claims that all science is based on assumptions about the character of the universe, rather than merely on empirical facts. These assumptions – a paradigm – comprise a collection of beliefs, values and techniques that are held by a given scientific community, which legitimize their systems and set the limitations to their investigation. For naturalists, nature is the only reality, the "correct" paradigm, and there is no such thing as supernatural, i.e. anything above, beyond, or outside of nature. The scientific method is to be used to investigate all reality, including the human spirit.

Some claim that naturalism is the implicit philosophy of working scientists, and that the following basic assumptions are needed to justify the scientific method:

  1. That there is an objective reality shared by all rational observers.
    "The basis for rationality is acceptance of an external objective reality." "Objective reality is clearly an essential thing if we are to develop a meaningful perspective of the world. Nevertheless its very existence is assumed." "Our belief that objective reality exist is an assumption that it arises from a real world outside of ourselves. As infants we made this assumption unconsciously. People are happy to make this assumption that adds meaning to our sensations and feelings, than live with solipsism." "Without this assumption, there would be only the thoughts and images in our own mind (which would be the only existing mind) and there would be no need of science, or anything else.
  2. That this objective reality is governed by natural laws;
    "Science, at least today, assumes that the universe obeys knowable principles that don't depend on time or place, nor on subjective parameters such as what we think, know or how we behave." Hugh Gauch argues that science presupposes that "the physical world is orderly and comprehensible."
  3. That reality can be discovered by means of systematic observation and experimentation.
    Stanley Sobottka said: "The assumption of external reality is necessary for science to function and to flourish. For the most part, science is the discovering and explaining of the external world." "Science attempts to produce knowledge that is as universal and objective as possible within the realm of human understanding."
  4. That Nature has uniformity of laws and most if not all things in nature must have at least a natural cause.
    Biologist Stephen Jay Gould referred to these two closely related propositions as the constancy of nature's laws and the operation of known processes. Simpson agrees that the axiom of uniformity of law, an unprovable postulate, is necessary in order for scientists to extrapolate inductive inference into the unobservable past in order to meaningfully study it. "The assumption of spatial and temporal invariance of natural laws is by no means unique to geology since it amounts to a warrant for inductive inference which, as Bacon showed nearly four hundred years ago, is the basic mode of reasoning in empirical science. Without assuming this spatial and temporal invariance, we have no basis for extrapolating from the known to the unknown and, therefore, no way of reaching general conclusions from a finite number of observations. (Since the assumption is itself vindicated by induction, it can in no way "prove" the validity of induction — an endeavor virtually abandoned after Hume demonstrated its futility two centuries ago)." Gould also notes that natural processes such as Lyell's "uniformity of process" are an assumption: "As such, it is another a priori assumption shared by all scientists and not a statement about the empirical world." According to R. Hooykaas: "The principle of uniformity is not a law, not a rule established after comparison of facts, but a principle, preceding the observation of facts ... It is the logical principle of parsimony of causes and of economy of scientific notions. By explaining past changes by analogy with present phenomena, a limit is set to conjecture, for there is only one way in which two things are equal, but there are an infinity of ways in which they could be supposed different."
  5. That experimental procedures will be done satisfactorily without any deliberate or unintentional mistakes that will influence the results.
  6. That experimenters won't be significantly biased by their presumptions.
  7. That random sampling is representative of the entire population.
    A simple random sample (SRS) is the most basic probabilistic option used for creating a sample from a population. The benefit of SRS is that the investigator is guaranteed to choose a sample that represents the population that ensures statistically valid conclusions.

Methodological naturalism

Aristotle, one of the philosophers behind the modern day scientific method used as a central term in methodological naturalism

Methodological naturalism, the second sense of the term "naturalism",(see above) is "the adoption or assumption of philosophical naturalism … with or without fully accepting or believing it.” Robert T. Pennock used the term to clarify that the scientific method confines itself to natural explanations without assuming the existence or non-existence of the supernatural. “We may therefore be agnostic about the ultimate truth of [philosophical] naturalism, but nevertheless adopt it and investigate nature as if nature is all that there is."

According to Ronald Numbers, the term "methodological naturalism" was coined in 1983 by Paul de Vries, a Wheaton College philosopher.

Both Schafersman and Strahler assert that it is illogical to try to decouple the two senses of naturalism. "While science as a process only requires methodological naturalism, the practice or adoption of methodological naturalism entails a logical and moral belief in philosophical naturalism, so they are not logically decoupled." This “[philosophical] naturalistic view is espoused by science as its fundamental assumption."

But Eugenie Scott finds it imperative to do so for the expediency of deprogramming the religious. “Scientists can defuse some of the opposition to evolution by first recognizing that the vast majority of Americans are believers, and that most Americans want to retain their faith.” Scott apparently believes that “individuals can retain religious beliefs and still accept evolution through methodological naturalism. Scientists should therefore avoid mentioning metaphysical naturalism and use methodological naturalism instead.” “Even someone who may disagree with my logic … often understands the strategic reasons for separating methodological from philosophical naturalism—if we want more Americans to understand evolution.”

Scott’s approach has found success as illustrated in Ecklund’s study where some religious scientists reported that their religious beliefs affect the way they think about the implications – often moral – of their work, but not the way they practice science within methodological naturalism. Papineau notes that "Philosophers concerned with religion tend to be less enthusiastic about metaphysical naturalism and that those not so disqualified remain content "to set the bar for 'naturalism' higher."

In contrast to Schafersman, Strahler, and Scott, Robert T. Pennock, an expert witness at the Kitzmiller v. Dover Area School District trial and cited by the Judge in his Memorandum Opinion. described "methodological naturalism" stating that it is not based on dogmatic metaphysical naturalism.

Pennock further states that as supernatural agents and powers "are above and beyond the natural world and its agents and powers" and "are not constrained by natural laws", only logical impossibilities constrain what a supernatural agent cannot do. In addition he says: "If we could apply natural knowledge to understand supernatural powers, then, by definition, they would not be supernatural." "Because the supernatural is necessarily a mystery to us, it can provide no grounds on which one can judge scientific models." "Experimentation requires observation and control of the variables.... But by definition we have no control over supernatural entities or forces."

The position that the study of the function of nature is also the study of the origin of nature is in contrast with opponents who take the position that functioning of the cosmos is unrelated to how it originated. While they are open to supernatural fiat in its invention and coming into existence, during scientific study to explain the functioning of the cosmos, they do not appeal to the supernatural. They agree that allowing “science to appeal to untestable supernatural powers to explain how nature functions would make the scientist's task meaningless, undermine the discipline that allows science to make progress, and would be as profoundly unsatisfying as the ancient Greek playwright's reliance upon the deus ex machina to extract his hero from a difficult predicament."

Views on methodological naturalism

W. V. O. Quine

W. V. O. Quine describes naturalism as the position that there is no higher tribunal for truth than natural science itself. In his view, there is no better method than the scientific method for judging the claims of science, and there is neither any need nor any place for a "first philosophy", such as (abstract) metaphysics or epistemology, that could stand behind and justify science or the scientific method.

Therefore, philosophy should feel free to make use of the findings of scientists in its own pursuit, while also feeling free to offer criticism when those claims are ungrounded, confused, or inconsistent. In Quine's view, philosophy is "continuous with" science, and both are empirical. Naturalism is not a dogmatic belief that the modern view of science is entirely correct. Instead, it simply holds that science is the best way to explore the processes of the universe and that those processes are what modern science is striving to understand.

Karl Popper

Karl Popper equated naturalism with inductive theory of science. He rejected it based on his general critique of induction (see problem of induction), yet acknowledged its utility as means for inventing conjectures.

A naturalistic methodology (sometimes called an "inductive theory of science") has its value, no doubt. ... I reject the naturalistic view: It is uncritical. Its upholders fail to notice that whenever they believe to have discovered a fact, they have only proposed a convention. Hence the convention is liable to turn into a dogma. This criticism of the naturalistic view applies not only to its criterion of meaning, but also to its idea of science, and consequently to its idea of empirical method.

— Karl R. Popper, The Logic of Scientific Discovery, (Routledge, 2002), pp. 52–53, ISBN 0-415-27844-9.

Popper instead proposed that science should adopt a methodology based on falsifiability for demarcation, because no number of experiments can ever prove a theory, but a single experiment can contradict one. Popper holds that scientific theories are characterized by falsifiability.

Alvin Plantinga

Alvin Plantinga, Professor Emeritus of Philosophy at Notre Dame, and a Christian, has become a well-known critic of naturalism. He suggests, in his evolutionary argument against naturalism, that the probability that evolution has produced humans with reliable true beliefs, is low or inscrutable, unless the evolution of humans was guided (for example, by God). According to David Kahan of the University of Glasgow, in order to understand how beliefs are warranted, a justification must be found in the context of supernatural theism, as in Plantinga's epistemology. (See also supernormal stimuli).

Plantinga argues that together, naturalism and evolution provide an insurmountable "defeater for the belief that our cognitive faculties are reliable", i.e., a skeptical argument along the lines of Descartes' evil demon or brain in a vat.

Take philosophical naturalism to be the belief that there aren't any supernatural entities – no such person as God, for example, but also no other supernatural entities, and nothing at all like God. My claim was that naturalism and contemporary evolutionary theory are at serious odds with one another – and this despite the fact that the latter is ordinarily thought to be one of the main pillars supporting the edifice of the former. (Of course I am not attacking the theory of evolution, or anything in that neighborhood; I am instead attacking the conjunction of naturalism with the view that human beings have evolved in that way. I see no similar problems with the conjunction of theism and the idea that human beings have evolved in the way contemporary evolutionary science suggests.) More particularly, I argued that the conjunction of naturalism with the belief that we human beings have evolved in conformity with current evolutionary doctrine ... is in a certain interesting way self-defeating or self-referentially incoherent.

— Alvin Plantinga, Naturalism Defeated?: Essays on Plantinga's Evolutionary Argument Against Naturalism, "Introduction"

The argument is controversial and has been criticized as seriously flawed, for example, by Elliott Sober.

Robert T. Pennock

Robert T. Pennock states that as supernatural agents and powers "are above and beyond the natural world and its agents and powers" and "are not constrained by natural laws", only logical impossibilities constrain what a supernatural agent cannot do. He says: "If we could apply natural knowledge to understand supernatural powers, then, by definition, they would not be supernatural." As the supernatural is necessarily a mystery to us, it can provide no grounds on which one can judge scientific models. "Experimentation requires observation and control of the variables.... But by definition we have no control over supernatural entities or forces." Science does not deal with meanings; the closed system of scientific reasoning cannot be used to define itself. Allowing science to appeal to untestable supernatural powers would make the scientist's task meaningless, undermine the discipline that allows science to make progress, and "would be as profoundly unsatisfying as the ancient Greek playwright's reliance upon the deus ex machina to extract his hero from a difficult predicament."

Naturalism of this sort says nothing about the existence or nonexistence of the supernatural, which by this definition is beyond natural testing. As a practical consideration, the rejection of supernatural explanations would merely be pragmatic, thus it would nonetheless be possible for an ontological supernaturalist to espouse and practice methodological naturalism. For example, scientists may believe in God while practicing methodological naturalism in their scientific work. This position does not preclude knowledge that is somehow connected to the supernatural. Generally however, anything that one can examine and explain scientifically would not be supernatural, simply by definition.

Criticism

Colin Murray Turbayne

The Australian philosopher Colin Murray Turbayne puts forth an objection to naturalism which is based upon linguistic grounds. His objections refer to several of the concepts which form the a priori foundation for naturalism in general. In particular, Turbayne calls attention to the concepts of "substance" and "substratum" which in his view convey little if any meaning at best. He asserts that along with several "physicalist" constructs, these concepts have been mistakenly incorporated through the use of deductive reasoning into the hypotheses underlying materialism in the modern world. In addition, he argues further that they are more properly characterized as being purely metaphorical in nature rather than literal descriptions of an independent objective truth. Specifically, he identifies the "mechanistic" metaphors utilized by Isaac Newton and the mind-body dualism which was embraced by René Descartes as being particularly problematic. Turbayne argues that over time humanity has become victimized by mistaking such metaphorical constructs for literal truths, which now form the basis for considerable obfuscation and confusion within the realms of metaphysics and epistemology. He concludes by observing that humanity can readily adopt more useful models of the natural world only after first acknowledging the manner in which such purely metaphorical constructs have taken on the guise of literal truth within much of the modern world.

Applicability of mathematics to the material universe

The late philosopher of mathematics Mark Steiner has written extensively on this matter and acknowledges that the applicability of mathematics constitutes "a challenge to the entrenched dogma of naturalism."

Teleology

From Wikipedia, the free encyclopedia
Plato and Aristotle, depicted here in The School of Athens, both developed philosophical arguments addressing the universe's apparent order (logos)

Teleology (from τέλος, telos, 'end', 'aim', or 'goal', and λόγος, logos, 'explanation' or 'reason') or finality is a branch of causality giving the reason or an explanation for something as a function of its end, its purpose, or its goal, as opposed to as a function of its cause.

A purpose that is imposed by human use, such as the purpose of a fork to hold food, is called extrinsic. Natural teleology, common in classical philosophy, though controversial today, contends that natural entities also have intrinsic purposes, regardless of human use or opinion. For instance, Aristotle claimed that an acorn's intrinsic telos is to become a fully grown oak tree. Though ancient atomists rejected the notion of natural teleology, teleological accounts of non-personal or non-human nature were explored and often endorsed in ancient and medieval philosophies, but fell into disfavor during the modern era (1600–1900).

History

In Western philosophy, the term and concept of teleology originated in the writings of Plato and Aristotle. Aristotle's 'four causes' give special place to the telos or "final cause" of each thing. In this, he followed Plato in seeing purpose in both human and nonhuman nature.

Etymology

The word teleology combines Greek telos (τέλος, from τελε-, 'end' or 'purpose') and logia (-λογία, 'speak of', 'study of', or 'a branch of learning'). German philosopher Christian Wolff would coin the term, as teleologia (Latin), in his work Philosophia rationalis, sive logica (1728).

Platonic

In Plato's dialogue Phaedo, Socrates argues that true explanations for any given physical phenomenon must be teleological. He bemoans those who fail to distinguish between a thing's necessary and sufficient causes, which he identifies respectively as material and final causes:

Imagine not being able to distinguish the real cause, from that without which the cause would not be able to act, as a cause. It is what the majority appear to do, like people groping in the dark; they call it a cause, thus giving it a name that does not belong to it. That is why one man surrounds the earth with a vortex to make the heavens keep it in place, another makes the air support it like a wide lid. As for their capacity of being in the best place they could be at this very time, this they do not look for, nor do they believe it to have any divine force, but they believe that they will sometime discover a stronger and more immortal Atlas to hold everything together more, and they do not believe that the truly good and 'binding' binds and holds them together.

— Plato, Phaedo, 99

Socrates here argues that while the materials that compose a body are necessary conditions for its moving or acting in a certain way, they nevertheless cannot be the sufficient condition for its moving or acting as it does. For example, if Socrates is sitting in an Athenian prison, the elasticity of his tendons is what allows him to be sitting, and so a physical description of his tendons can be listed as necessary conditions or auxiliary causes of his act of sitting. However, these are only necessary conditions of Socrates' sitting. To give a physical description of Socrates' body is to say that Socrates is sitting, but it does not give any idea why it came to be that he was sitting in the first place. To say why he was sitting and not not sitting, it is necessary to explain what it is about his sitting that is good, for all things brought about (i.e., all products of actions) are brought about because the actor saw some good in them. Thus, to give an explanation of something is to determine what about it is good. Its goodness is its actual cause—its purpose, telos or 'reason for which'.

Aristotelian

Aristotle argued that Democritus was wrong to attempt to reduce all things to mere necessity, because doing so neglects the aim, order, and "final cause", which brings about these necessary conditions:

Democritus, however, neglecting the final cause, reduces to necessity all the operations of nature. Now, they are necessary, it is true, but yet they are for a final cause and for the sake of what is best in each case. Thus nothing prevents the teeth from being formed and being shed in this way; but it is not on account of these causes but on account of the end. ...

— Aristotle, Generation of Animals 5.8, 789a8–b15

In Physics, using the hylomorphic theory, (using eternal forms as his model), Aristotle rejects Plato's assumption that the universe was created by an intelligent designer. For Aristotle, natural ends are produced by "natures" (principles of change internal to living things), and natures, Aristotle argued, do not deliberate:

It is absurd to suppose that ends are not present [in nature] because we do not see an agent deliberating.

— Aristotle, Physics, 2.8, 199b27-9

These Platonic and Aristotelian arguments ran counter to those presented earlier by Democritus and later by Lucretius, both of whom were supporters of what is now often called accidentalism:

Nothing in the body is made in order that we may use it. What happens to exist is the cause of its use.

— Lucretius, De rerum natura [On the Nature of Things] 4, 833[ii]

Modern philosophy

The chief instance, and the largest polemic morass, of teleological viewpoint in modern cosmology and ontology is the teleological argument that posits an intelligent designer as a god.

Economics

A teleology of human aims played a crucial role in the work of economist Ludwig von Mises, especially in the development of his science of praxeology. Mises believed that an individual's action is teleological because it is governed by the existence of their chosen ends. In other words, individuals select what they believe to be the most appropriate means to achieve a sought after goal or end. Mises also stressed that, with respect to human action, teleology is not independent of causality: "No action can be devised and ventured upon without definite ideas about the relation of cause and effect, teleology presupposes causality."

Assuming reason and action to be predominantly influenced by ideological credence, Mises derived his portrayal of human motivation from Epicurean teachings, insofar as he assumes "atomistic individualism, teleology, and libertarianism, and defines man as an egoist who seeks a maximum of happiness" (i.e. the ultimate pursuit of pleasure over pain). "Man strives for," Mises remarks, "but never attains the perfect state of happiness described by Epicurus." Furthermore, expanding upon the Epicurean groundwork, Mises formalized his conception of pleasure and pain by assigning each specific meaning, allowing him to extrapolate his conception of attainable happiness to a critique of liberal versus socialist ideological societies. It is there, in his application of Epicurean belief to political theory, that Mises flouts Marxist theory, considering labor to be one of many of man's 'pains', a consideration which positioned labor as a violation of his original Epicurean assumption of man's manifest hedonistic pursuit. From here he further postulates a critical distinction between introversive labor and extroversive labor, further divaricating from basic Marxist theory, in which Marx hails labor as man's "species-essence", or his "species-activity".

Postmodern philosophy

Teleological-based "grand narratives" are renounced by the postmodern tradition, where teleology may be viewed as reductive, exclusionary, and harmful to those whose stories are diminished or overlooked.

Against this postmodern position, Alasdair MacIntyre has argued that a narrative understanding of oneself, of one's capacity as an independent reasoner, one's dependence on others and on the social practices and traditions in which one participates, all tend towards an ultimate good of liberation. Social practices may themselves be understood as teleologically oriented to internal goods, for example, practices of philosophical and scientific inquiry are teleologically ordered to the elaboration of a true understanding of their objects. MacIntyre's After Virtue (1981) famously dismissed the naturalistic teleology of Aristotle's "metaphysical biology", but he has cautiously moved from that book's account of a sociological teleology toward an exploration of what remains valid in a more traditional teleological naturalism.

Ethics

Teleology significantly informs the study of ethics, such as in:

  • Business ethics: People in business commonly think in terms of purposeful action, as in, for example, management by objectives. Teleological analysis of business ethics leads to consideration of the full range of stakeholders in any business decision, including the management, the staff, the customers, the shareholders, the country, humanity and the environment.
  • Medical ethics: Teleology provides a moral basis for the professional ethics of medicine, as physicians are generally concerned with outcomes and must therefore know the telos of a given treatment paradigm.

Consequentialism

The broad spectrum of consequentialist ethics—of which utilitarianism is a well-known example—focuses on the result or consequences, with such principles as John Stuart Mill's 'principle of utility': "the greatest good for the greatest number". This principle is thus teleological, though in a broader sense than is elsewhere understood in philosophy.

In the classical notion, teleology is grounded in the inherent nature of things themselves, whereas in consequentialism, teleology is imposed on nature from outside by the human will. Consequentialist theories justify inherently what most people would call evil acts by their desirable outcomes, if the good of the outcome outweighs the bad of the act. So, for example, a consequentialist theory would say it was acceptable to kill one person in order to save two or more other people. These theories may be summarized by the maxim "the end justifies the means."

Deontology

Consequentialism stands in contrast to the more classical notions of deontological ethics, of which examples include Immanuel Kant's categorical imperative, and Aristotle's virtue ethics—although formulations of virtue ethics are also often consequentialist in derivation.

In deontological ethics, the goodness or badness of individual acts is primary and a larger, more desirable goal is insufficient to justify bad acts committed on the way to that goal, even if the bad acts are relatively minor and the goal is major (like telling a small lie to prevent a war and save millions of lives). In requiring all constituent acts to be good, deontological ethics is much more rigid than consequentialism, which varies by circumstance.

Practical ethics are usually a mix of the two. For example, Mill also relies on deontic maxims to guide practical behavior, but they must be justifiable by the principle of utility.

Science

In modern science, explanations that rely on teleology are often, but not always, avoided, either because they are unnecessary or because whether they are true or false is thought to be beyond the ability of human perception and understanding to judge. But using teleology as an explanatory style, in particular within evolutionary biology, is still controversial.

Since the Novum Organum of Francis Bacon, teleological explanations in physical science tend to be deliberately avoided in favor of focus on material and efficient explanations, although some recent accounts of quantum phenomena make use of teleology. Final and formal causation came to be viewed as false or too subjective. Nonetheless, some disciplines, in particular within evolutionary biology, continue to use language that appears teleological in describing natural tendencies towards certain end conditions. Some suggest, however, that these arguments ought to be, and practicably can be, rephrased in non-teleological forms; others hold that teleological language cannot always be easily expunged from descriptions in the life sciences, at least within the bounds of practical pedagogy.

Contemporary philosophers and scientists still debate whether teleological axioms are useful or accurate in proposing modern philosophies and scientific theories. An example of the reintroduction of teleology into modern language is the notion of an attractor. Another instance is when Thomas Nagel (2012), though not a biologist, proposed a non-Darwinian account of evolution that incorporates impersonal and natural teleological laws to explain the existence of life, consciousness, rationality, and objective value. Regardless, the accuracy can also be considered independently from the usefulness: it is a common experience in pedagogy that a minimum of apparent teleology can be useful in thinking about and explaining Darwinian evolution even if there is no true teleology driving evolution. Thus it is easier to say that evolution "gave" wolves sharp canine teeth because those teeth "serve the purpose of" predation regardless of whether there is an underlying non-teleologic reality in which evolution is not an actor with intentions. In other words, because human cognition and learning often rely on the narrative structure of stories – with actors, goals, and immediate (proximate) rather than ultimate (distal) causation (see also proximate and ultimate causation) – some minimal level of teleology might be recognized as useful or at least tolerable for practical purposes even by people who reject its cosmologic accuracy. Its accuracy is upheld by Barrow and Tipler (1986), whose citations of such teleologists as Max Planck and Norbert Wiener are significant for scientific endeavor.

Biology

Apparent teleology is a recurring issue in evolutionary biology, much to the consternation of some writers.

Statements implying that nature has goals, for example where a species is said to do something "in order to" achieve survival appear teleological, and therefore invalid. Usually, it is possible to rewrite such sentences to avoid the apparent teleology. Some biology courses have incorporated exercises requiring students to rephrase such sentences so that they do not read teleologically. Nevertheless, biologists still frequently write in a way which can be read as implying teleology even if that is not the intention. John Reiss argues that evolutionary biology can be purged of such teleology by rejecting the analogy of natural selection as a watchmaker. Other arguments against this analogy have also been promoted by writers such as Richard Dawkins.

Some authors, like James Lennox, have argued that Darwin was a teleologist, while others, such as Michael Ghiselin, describe this claim as a myth promoted by misinterpretations of his discussions and emphasized the distinction between using teleological metaphors and being teleological.

Biologist philosopher Francisco Ayala has argued that all statements about processes can be trivially translated into teleological statements, and vice versa, but that teleological statements are more explanatory and cannot be disposed of. Karen Neander has argued that the modern concept of biological 'function' is dependent upon selection. So, for example, it is not possible to say that anything that simply winks into existence without going through a process of selection has functions. We decide whether an appendage has a function by analysing the process of selection that led to it. Therefore, any talk of functions must be posterior to natural selection and function cannot be defined in the manner advocated by Reiss and Dawkins.

Ernst Mayr states that "adaptedness ... is an a posteriori result rather than an a priori goal-seeking". Various commentators view the teleological phrases used in modern evolutionary biology as a type of shorthand. For example, Simon Hugh Piper Maddrell writes that "the proper but cumbersome way of describing change by evolutionary adaptation [may be] substituted by shorter overtly teleological statements" for the sake of saving space, but that this "should not be taken to imply that evolution proceeds by anything other than from mutations arising by chance, with those that impart an advantage being retained by natural selection". Likewise, J. B. S. Haldane says, "Teleology is like a mistress to a biologist: he cannot live without her but he's unwilling to be seen with her in public."

Selected-effects accounts, such as the one suggested by Neander, face objections due to their reliance on etiological accounts, which some fields lack the resources to accommodate. Many such sciences, which study the same traits and behaviors regarded by evolutionary biology, still correctly attribute teleological functions without appeal to selection history. Corey J. Maley and Gualtiero Piccinini are proponents of one such account, which focuses instead on goal-contribution. With the objective goals of organisms being survival and inclusive fitness, Piccinini and Maley define teleological functions to be "a stable contribution by a trait (or component, activity, property) of organisms belonging to a biological population to an objective goal of those organisms".

Cybernetics

Cybernetics is the study of the communication and control of regulatory feedback both in living beings and machines, and in combinations of the two.

Arturo Rosenblueth, Norbert Wiener, and Julian Bigelow had conceived of feedback mechanisms as lending a teleology to machinery. Wiener coined the term cybernetics to denote the study of "teleological mechanisms". In the cybernetic classification presented by Rosenblueth, Wiener, and Bigelow, teleology is feedback controlled purpose.

The classification system underlying cybernetics has been criticized by Frank Honywill George and Les Johnson, who cite the need for an external observability to the purposeful behavior in order to establish and validate the goal-seeking behavior. In this view, the purpose of observing and observed systems is respectively distinguished by the system's subjective autonomy and objective control.

Homo economicus

From Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Homo_economicus

The term Homo economicus, or economic man, is the portrayal of humans as agents who are consistently rational and narrowly self-interested, and who pursue their subjectively defined ends optimally. It is a word play on Homo sapiens, used in some economic theories and in pedagogy.

In game theory, Homo economicus is often modelled through the assumption of perfect rationality. It assumes that agents always act in a way that maximize utility as a consumer and profit as a producer, and are capable of arbitrarily complex deductions towards that end. They will always be capable of thinking through all possible outcomes and choosing that course of action which will result in the best possible result.

The rationality implied in Homo economicus does not restrict what sort of preferences are admissible. Only naive applications of the Homo economicus model assume that agents know what is best for their long-term physical and mental health. For example, an agent's utility function could be linked to the perceived utility of other agents (such as one's husband or children), making Homo economicus compatible with other models such as Homo reciprocans, which emphasizes human cooperation.

As a theory on human conduct, it contrasts to the concepts of behavioral economics, which examines cognitive biases and other irrationalities, and to bounded rationality, which assumes that practical elements such as cognitive and time limitations restrict the rationality of agents.

History of the term

The term "economic man" was used for the first time in the late nineteenth century by critics of John Stuart Mill's work on political economy. Below is a passage from Mill's work that critics referred to:

[Political economy] does not treat the whole of man's nature as modified by the social state, nor of the whole conduct of man in society. It is concerned with him solely as a being who desires to possess wealth, and who is capable of judging the comparative efficacy of means for obtaining that end.

Later in the same work, Mill stated that he was proposing "an arbitrary definition of man, as a being who inevitably does that by which he may obtain the greatest amount of necessaries, conveniences, and luxuries, with the smallest quantity of labour and physical self-denial with which they can be obtained."

Adam Smith, in The Theory of Moral Sentiments, had claimed that individuals have sympathy for the well-being of others. On the other hand, in The Wealth of Nations, Smith wrote:

It is not from the benevolence of the butcher, the brewer, or the baker that we expect our dinner, but from their regard to their own interest.

This comment is perfectly in line with the notion of Homo economicus and the idea, propounded by Smith in The Wealth of Nations and, in the 20th century, by the likes of Ayn Rand (in The Virtue of Selfishness, for example), that pursuing narrow, individual self-interest promotes social well-being. In Book V, Chapter I, Smith argues, "The man whose whole life is spent in performing a few simple operations, of which the effects are perhaps always the same, or very nearly the same, has no occasion to exert his understanding or to exercise his invention in finding out expedients for removing difficulties which never occur. He naturally loses, therefore, the habit of such exertion, and generally becomes as stupid and ignorant as it is possible for a human creature to become." This could be seen as prefiguring one part of Marx's theory of alienation of labor; and also as a pro-worker argument against the division of labor and the restrictions it places upon freedom of occupation. But even so, taken in the context of the work as a whole, Smith clearly intends it in a pro-capitalism, pro-bourgeoisie, way: "removing difficulties", such as reducing the time needed for travel and trade, through "expedients", such as steam-engine ships, here means the typical argument that capitalism brings freedom of entrepreneurship and innovation, which then bring prosperity. Thus, Smith is not unreasonably called "The Father of Capitalism"; early on, he theorized many of today's most widespread and deep-seated pro-capitalism arguments.

The early role of Homo Economicus within neoclassical theory was summarised to include a general objective of discovering laws and principles to accelerate further growth within the national economy and the welfare of ordinary citizens. These laws and principles were determined by two governing factors, natural and social. It had been found to be the foundation of neoclassical theory of the firm which assumed that individual agents would act rationally amongst other rational individuals. In which Adam Smith explains that the actions of those that are rational and self-interested under homo economicus promotes the general good overall which was understood as the efficient allocation of material wealth. However, social scientists had doubted the actual importance of income and wealth to overall happiness in societies.

The term 'Homo economicus' was initially critiqued for its portrayal of the economic agent as a narrowly defined, money-making animal, a characterization heavily influenced by the works of Adam Smith and John Stuart Mill. Authors from the English Historical School of Economics sought to demote this model from its broad classification under the 'genus homo', arguing that it insufficiently captured the complex ethical and behavioral dimensions of human decision-making. Their critique emphasized the need for a more nuanced understanding of human agency beyond the mere pursuit of economic rationality.

Economists in the late 19th century—such as Francis Edgeworth, William Stanley Jevons, Léon Walras, and Vilfredo Pareto—built mathematical models on these economic assumptions. In the 20th century, the rational choice theory of Lionel Robbins came to dominate mainstream economics. The term "economic man" then took on a more specific meaning: a person who acted rationally on complete knowledge out of self-interest and the desire for wealth.

Model

Homo economicus is a term used for an approximation or model of Homo sapiens that acts to obtain the highest possible well-being for themself given available information about opportunities and other constraints, both natural and institutional, on their ability to achieve their predetermined goals. This approach has been formalized in certain social sciences models, particularly in economics.

The model of the homo economicus is currently the most widespread model of human behaviour in economics. There are still limitations in developing this model through the years of social development. Human nature is complex and full of contradictions. People can do deeds that are full of justice or they can do deeds that are annoying. In the vast majority of cases people are selfish and unselfish, depending on various natures. The Homo economicus model is usually based on pure self-interest in order to activate cooperation and thus contribute to society. Within economic social systems, humans are usually rational and selfish maximising personal preferences, and this form of model is also known as Homo economicus. within the homo economicus model, the principle of rationality and selfishness is well chosen. Given the same conditions, people only want to get more, not less. This is why managers can increase productivity through incentive policies.

Homo economicus is usually seen as "rational" in the sense that well-being as defined by the utility function is optimized given perceived opportunities. That is, the individual seeks to attain very specific and predetermined goals to the greatest extent with the least possible cost. Note that this kind of "rationality" does not say that the individual's actual goals are "rational" in some larger ethical, social, or human sense, only that they try to attain them at minimal cost. Only naïve applications of the Homo economicus model assume that this hypothetical individual knows what is best for their long-term physical and mental health and can be relied upon to always make the right decision for themself. See rational choice theory and rational expectations for further discussion; the article on rationality widens the discussion.

As in social science, these assumptions are at best approximations. The term is often used derogatorily in academic literature, perhaps most commonly by sociologists, many of whom tend to prefer structural explanations to ones based on rational action by individuals.

The use of the Latin form Homo economicus is certainly long established; Persky traces it back to Pareto (1906) but notes that it may be older. The English term economic man can be found even earlier, in John Kells Ingram's A History of Political Economy (1888). The Oxford English Dictionary (O.E.D.) cites the use of Homo oeconomicus by C. S. Devas in his 1883 work The Groundwork of Economics in reference to Mill's writings, as one of a number of phrases that imitate the scientific name for the human species:

Mill has only examined the Homo oeconomicus, or dollar-hunting animal.

According to the OED, the human genus name Homo is

Used with L. or mock-L. adjs. in names imitating Homo sapiens, etc., and intended to personify some aspect of human life or behaviour (indicated by the adj.). Homo faber ("feIb@(r)) [H. Bergson L'Evolution Créatrice (1907) ii. 151], a term used to designate man as a maker of tools.) Variants are often comic: Homo insipiens; Homo turisticus.

Note that such forms should logically keep the capital for the "genus" name—i.e., Homo economicus rather than homo economicus. Actual usage is inconsistent.

Amartya Sen has argued there are grave pitfalls in assuming that rationality is limited to selfish rationality. Economics should build into its assumptions the notion that people can give credible commitments to a course of conduct. He demonstrates the absurdity with the narrowness of the assumptions by some economists with the following example of two strangers meeting on a street.

"Where is the railway station?" he asks me. "There," I say, pointing at the post office, "and would you please post this letter for me on the way?" "Yes," he says, determined to open the envelope and check whether it contains something valuable.

Criticisms

Homo economicus bases its choices on a consideration of its own personal "utility function".

In recent times, few concepts have been as recognisable and accepted as the concept of the homo economicus. The system established by this concept has therefore almost become the basis for the concepts currently used in economics. As society develops and the modern economy evolves, will people follow the concept of the homo economicus."Self-interest is the main motivation of human beings in their transactions" is a theoretical structure in the concept of homo economicus. Over the years, economists have studied and discussed institutional economics, behavioural economics, political economy, economic anthropology and ecological economics. The economic man solution is considered to be inadequate and flawed.

Consequently, the Homo economicus assumptions have been criticized not only by economists on the basis of logical arguments, but also on empirical grounds by cross-cultural comparison. Economic anthropologists such as Marshall Sahlins, Karl Polanyi, Marcel Mauss and Maurice Godelier have demonstrated that in traditional societies, choices people make regarding production and exchange of goods follow patterns of reciprocity which differ sharply from what the Homo economicus model postulates. Such systems have been termed gift economy rather than market economy. Criticisms of the Homo economicus model put forward from the standpoint of ethics usually refer to this traditional ethic of kinship-based reciprocity that held together traditional societies. Philosophers Amartya Sen and Axel Honneth are noted for their criticisms of the normative assumptions made by the self-interested utility function.

Economists Thorstein Veblen, John Maynard Keynes, Herbert A. Simon, and many of the Austrian School criticise Homo economicus as an actor with too great an understanding of macroeconomics and economic forecasting in his decision making. They stress uncertainty and bounded rationality in the making of economic decisions, rather than relying on the rational man who is fully informed of all circumstances impinging on his decisions. They argue that perfect knowledge never exists, which means that all economic activity implies risk. Austrian economists rather prefer to use as a model tool the Homo agens.

Empirical studies by Amos Tversky questioned the assumption that investors are rational. In 1995, Tversky demonstrated the tendency of investors to make risk-averse choices in gains, and risk-seeking choices in losses. The investors appeared as very risk-averse for small losses but indifferent for a small chance of a very large loss. This violates economic rationality as usually understood. Further research on this subject, showing other deviations from conventionally defined economic rationality, is being done in the growing field of experimental or behavioral economics. Some of the broader issues involved in this criticism are studied in decision theory, of which rational choice theory is only a subset.

Behavioral economists Richard Thaler and Daniel Kahneman have criticized the notion of economic agents possessing stable and well-defined preferences that they consistently act upon in a self-interested manner. Using insights from psychological experiments found explanations for anomalies in economic decision-making that seemed to violate rational choice theory. Writing a column in the Journal of Economic Perspectives under the title Anomalies, Thaler wrote features on the many ways observed economic behavior in markets deviated from theory. One such anomaly was the endowment effect by which individual preferences are framed based on reference positions (Kahneman et al., 1990). In an experiment in which one group was given a mug and the other was asked how much they were willing to pay (WTP) for the mug, it was found that the price that those endowed with the mug where willingness to accept (WTA) greatly exceeded that of the WTP. This was seen as falsifying the Coase theorem in which for every person the WTA equals the WTP that is the basis of the efficient-market hypothesis. From this they argued the endowment effect acts on us by making it painful for us to give up the endowment. Kahneman also argued against the rational-agent model in which agents make decisions with all of the relevant context including weighing all possible future opportunities and risks. Evidence supports the claim that decisions are often made by "narrow framing" with investors making portfolio decisions in isolation from their entire portfolio (Nicholas Barberis et al., 2003). Shlomo Benartzi and Thaler found that investors also tended to use unreasonable time periods in evaluating their investments.

In Kahneman-Tversky’s criticism of the Homo Economicus model, many mainstream economists had utilised deductive logic to further progress the Homo Economicus idea as opposed to Daniel Kahneman and Amos Tversky in which they had applied inductive logic. Further findings of their experiments that opposed Homo Economicus had found that individuals will constantly adjust their choices according to changes in their income and market prices. Furthermore, Kahneman and Tversky had conducted experiments exploring prospect theory where results from several experiments concluded that individuals will generally put higher importance on avoiding loss over making a gain.

Other critics of the Homo economicus model of humanity, such as Bruno Frey, point to the excessive emphasis on extrinsic motivation (rewards and punishments from the social environment) as opposed to intrinsic motivation. For example, it is difficult if not impossible to understand how Homo economicus would be a hero in war or would get inherent pleasure from craftsmanship. Frey and others argue that too much emphasis on rewards and punishments can "crowd out" (discourage) intrinsic motivation: paying a boy for doing household tasks may push him from doing those tasks "to help the family" to doing them simply for the reward.

Another weakness is highlighted by economic sociologists and anthropologists, who argue that Homo economicus ignores an extremely important question, i.e. the origins of tastes and the parameters of the utility function by social influences, training, education, and the like. The exogeneity of tastes (preferences) in this model is the major distinction from Homo sociologicus, in which tastes are taken as partially or even totally determined by the societal environment (see below).

Further critics, learning from the broadly defined psychoanalytic tradition, criticize the Homo economicus model as ignoring the inner conflicts that real-world individuals suffer, as between short-term and long-term goals (e.g., eating chocolate cake and losing weight) or between individual goals and societal values. Such conflicts may lead to "irrational" behavior involving inconsistency, psychological paralysis, neurosis, and psychic pain. Further irrational human behaviour can occur as a result of habit, laziness, mimicry and simple obedience.

The emerging science of "neuroeconomics" suggests that there are serious shortcomings in the conventional theories of economic rationality. Rational economic decision making has been shown to produce high levels of cortisol, epinephrine and corticosteroids, associated with elevated levels of stress. It seems that the dopaminic system is only activated upon achieving the reward, and otherwise the "pain" receptors, particularly in the prefrontal cortex of the left hemisphere of the brain show a high level of activation. Serotonin and oxytocin levels are minimised, and the general immune system shows a level of suppression. Such a pattern is associated with a generalised reduction in the levels of trust. Unsolicited "gift giving", considered irrational from the point of view of Homo economicus, by comparison, shows an elevated stimulation of the pleasure circuits of the whole brain, reduction in the levels of stress, optimal functioning of the immune system, reduction in cortico-steroids and epinephrine and cortisol, activation of the substantia nigra, the striatum and the nucleus accumbens (associated with the placebo effect), all associated with the building of social trust. Mirror neurons result in a win-win positive sum game in which the person giving the gift receives a pleasure equivalent to the person receiving it. This confirms the findings of anthropology which suggest that a "gift economy" preceded the more recent market systems where win-lose or risk-avoidance lose-lose calculations apply.

Responses

Some economists disagree with these critiques, arguing that it may be relevant to analyze the consequences of enlightened egoism just as it may be worthwhile to consider altruistic or social behavior. Others argue that we need to understand the consequences of such narrow-minded greed even if only a small percentage of the population embraces such motives. Free riders, for example, would have a major negative impact on the provision of public goods. However, economists' supply and demand predictions might obtain even if only a significant minority of market participants act like Homo economicus. In this view, the assumption of Homo economicus can and should be simply a preliminary step on the road to a more sophisticated model.

Others argue that Homo economicus is a reasonable approximation for behavior within market institutions, since the individualized nature of human action in such social settings encourages individualistic behavior. Not only do market settings encourage the application of a simple cost-benefit calculus by individuals, but they reward and thus attract the more individualistic people. It can be difficult to apply social values (as opposed to following self-interest) in an extremely competitive market; a company that refuses to pollute, for example, may find itself bankrupt.

Defenders of the Homo economicus model see many critics of the dominant school as using a straw man technique. For example, it is common for critics to argue that real people do not have cost-less access to infinite information and an innate ability to instantly process it. However, in advanced-level theoretical economics, scholars have found ways of addressing these problems, modifying models enough to more realistically depict real-life decision-making. For example, models of individual behavior under bounded rationality and of people suffering from envy can be found in the literature. It is primarily when targeting the limiting assumptions made in constructing undergraduate models that the criticisms listed above are valid. These criticisms are especially valid to the extent that the professor asserts that the simplifying assumptions are true or uses them in a propagandistic way.

Perspectives

According to Sergio Caruso, when talking of Homo economicus, one should distinguish between the purely "methodological" versions, aimed at practical use in the economic sphere (e.g. economic calculus), and the" anthropological" versions, more ambitiously aimed at depicting a certain type of man (supposed to be actually existing), or even human nature in general. The former, traditionally founded on a merely speculative psychology, have proved unrealistic and frankly wrong as descriptive models of economic behaviour (therefore not applicable for normative purposes either); however, they are liable to be corrected resorting to the new empirically based economic psychology, which turns quite other than the philosophers' psychology that economists have used until yesterday. Among the latter (i.e. the anthropological versions), one can make a further distinction between the weak versions, more plausible, and the strong ones, irreparably ideological. Depicting different types of "economic man" (each depending on the social context) is in fact possible with the help of cultural anthropology, and social psychology (a branch of psychology economists have strangely ignored), if only those types are contrived as socially and/or historically determined abstractions (such as Weber's, Korsch's, and Fromm's concepts of Idealtypus, "historical specification", and "social character"). Even a Marxist theoretician such as Gramsci—reminds Caruso—admitted of the Homo economicus as a useful abstraction on the ground of economic theory, provided that we grant there be as many homines oeconomici as the modes of production. On the contrary, when one concept of Homo economicus claims to grasp the eternal essence of what is human, at the same time putting aside all other aspects of human nature (such as Homo faber, Homo loquens, Homo ludens, Homo reciprocans, and so on), then the concept leaves the field of good philosophy, not to speak of social science, and is ready to enter a political doctrine as the most dangerous of its ideological ingredients.

Homo sociologicus

Comparisons between economics and sociology have resulted in a corresponding term Homo sociologicus (introduced by German sociologist Ralf Dahrendorf in 1958), to parody the image of human nature given in some sociological models that attempt to limit the social forces that determine individual tastes and social values. (The alternative or additional source of these would be biology.) Hirsch et al. say that Homo sociologicus is largely a tabula rasa upon which societies and cultures write values and goals; unlike economicus, sociologicus acts not to pursue selfish interests but to fulfill social roles (though the fulfillment of social roles may have a selfish rationale—e.g. politicians or socialites). This "individual" may appear to be all society and no individual.

AutoAI

From Wikipedia, the free encyclopedia

Automated Artificial Intelligence (AutoAI) is a variation of the automated machine learning or AutoML technology, which extends the automation of model building towards automation of the full life cycle of a machine learning model. It applies intelligent automation to the task of building predictive machine learning models by preparing data for training and identifying the best type of model for the given data. then choosing the features or columns of data that best support the problem the model is solving. Finally, automation evaluates a variety of tuning options to reach the best result as it generates, then ranks, model-candidate pipelines. The best performing pipelines can be put into production to process new data, and deliver predictions based on the model training. Automated artificial intelligence can also be applied to making sure the model doesn't have inherent bias and automating the tasks for continuous improvement of the model. Managing an AutoAI model requires frequent monitoring and updating, managed by a process known as model operations or ModelOps.

The Automated Machine Learning and Data Science (AMLDS) is a small team within IBM Research, which was formed to apply techniques from artificial intelligence (AI), machine learning (ML) and data management to accelerate and optimize the creation of machine learning and data science workflows. AMLDS gets credit of driving the development of AutoAI.

Use case

A typical use case for AutoAI would be training a model to predict how customers might respond to a sales incentive. The model first gets training with actual data on how customers responded to the promotion. When the trained model presented with new data, can provide a prediction of how a new customer might respond, with a confidence score for the prediction. Prior to AutoML, data scientists had to build these predictive models by hand, testing various combinations of algorithms, then testing to see how predictions compared to actual results, whereas AutoML automated the processes of preparing the data for training, applying algorithms to process the data, and then further optimizing the results. Hence, AutoAI provides greater intelligent automation that allows for testing significantly more combinations of factors to generate model candidate pipelines that reflect and address the problem more accurately. Once built, the model evaluated for bias and updated to improve performance.

The AutoAI process

AutoIA process flow

The user initiates the process by providing a set of training data and identifying the prediction column, which sets up the problem to solve. For example, the prediction column might contain values of yes or no in response to an offered incentive. In the data pre-processing stage, AutoAI applies various algorithms, or estimators, to analyze, clean (for example, remove redundant information or impute missing data), and prepare structured raw data for machine learning (ML).

The next is automated model selection that matches the data with a model type, such as classification or regression. For example, if there are only two types of data in a prediction column, AutoAI prepares to build a binary classification model. If there is an unknowable set of answers, AutoAI prepares a regression model, which employs a distinct set of algorithms, or problem-solving transformations. AutoAI ranks after testing candidate algorithms against small sub-sets of the information, increasing the size of the subset gradually for the algorithms that turns most promising to reach at the best match. This process of iterative and incremental machine learning is what sets AutoAI apart from earlier versions of AutoML.

Feature engineering transforms the raw data into the combination that represents the problem to arrive at the best accurate prediction. Part of this process is to evaluate how data in the training data source can best support an accurate prediction using algorithms, it weights few data more important than others to achieve the desired result. AutoAI automates the consideration of various features construction options in a non-exhaustive, structured manner, meanwhile progressively maximizing the accuracy of model using reinforcement learning. This results from an optimized sequence of information and data transformations that matches the best algorithms of the step involving model selection.

Finally, AutoAI applies the hyperparameter optimization step to refine and advance the best performing model pipelines. Pipelines are model candidates, evaluated and ranked by metrics like accuracy, precision. At the end of the process, the user can review the pipelines and choose the pipeline(s) to put into production to deliver predictions on new data.

History

In August 2017, AMLDS announced that they were researching the use of automated feature engineering to eliminate guesswork in data science. AMDLS members Udayan Khurana, Horst Samulowitz, Gregory Bramble, Deepak Toraga, and Peter Kirchner, along with Fatemeh Nargesian of the University of Toronto and Elias Khalil of Georgia Tech, presented their preliminary research at IJCAI that same year.

Called “Learning-based Feature Engineering,” their method learned the correlations between feature distributions, target distributions, and transformations, built meta-models that used past observations to predict viable transformations, and generalized thousands of data sets spanning different domains. To address feature vectors of varied sizes, it used Quantile Sketch Array to capture the essential character of a feature.

In 2018, IBM Research announced Deep Learning as a Service, which opened popular deep learning libraries such as Caffe, Torch and TensorFlow, to developers in the cloud. Jean-Francois Puget, PhD, a distinguished engineer specializing machine learning (ML) and optimization at IBM, entered the competition. He found out and decided to be ready for IBM AI and data science platforms like IBM Watson. In December 2018, IBM Research announced NeuNetS, a new capability that automated neural network model synthesis as part of automated AI model development and deployment.

In 2020, Liu et al. proposed a method for AutoML that used the alternating direction method of multipliers (ADMM) to configure multiple stages of an ML pipeline, such as transformations, feature engineering and selection, and predictive modeling. This was the first recorded time that IBM Research publicly applied the term “Auto” to machine-learning.

AutoAI: The evolution of AutoML

2019 was the year that AutoML became more widely discussed as a concept. “The Forrester New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019,” evaluated AutoML solutions and found that the more powerful versions offered feature engineering. A Gartner Technical Professional Advice report from August 2019 reported that, based on their research, AutoML could augment data science and machine learning. They described AutoML as the automation of data preparation, feature engineering and model engineering tasks.

AutoAI is the evolution of AutoML. One of AutoAI's principal inventors, Jean-Francois Puget, PhD, describes it as automatically performing data preparation, feature engineering, machine learning algorithm selection, and hyper-parameter optimization to find the best possible machine learning model. The hyper-parameter optimization algorithm used in AutoAI differs from the hyper-parameter tuning of AutoML. The algorithm, optimized for cost function evaluations such as model training and scoring which are typical in machine learning, enabling rapid convergence to a satisfactory solution despite evaluation times of each iteration being of long duration.

Research scientists at IBM Research published a paper "Towards Automating the AI Operations Lifecycle", which describes the advantages and available technologies for automating more of the process, with the goal of limiting the human involvement required to build, test, and maintain a machine learning application. However, some HCI researchers argue that the machine learning application and its recommendations are inevitably taken by human decision makers, thus it is impossible to eliminate human involvement in the process. Rather, a more transparent and interpretable AutoAI design is the key to gain trust from human users, but such design itself is quite a challenge.

Awards for AutoAI

  • Winner, Best Innovation in Intelligent Automation Award at the AIconics AI Summit (2019), San Francisco.
  • Winner, iF Design Guide award for Communication in a Software Application (2020)
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