In physics, an entropic force acting in a system is an emergent phenomenon resulting from the entire system's statistical tendency to increase its entropy, rather than from a particular underlying force on the atomic scale.
Mathematical formulation
In the canonical ensemble, the entropic force associated to a macrostate partition is given by
where is the temperature, is the entropy associated to the macrostate , and is the present macrostate.
Examples
Pressure of an ideal gas
The internal energy of an ideal gas depends only on its temperature, and not on the volume of its containing box, so it is not an energy effect that tends to increase the volume of the box as gas pressure does. This implies that the pressure of an ideal gas has an entropic origin.
What is the origin of such an entropic force? The most general
answer is that the effect of thermal fluctuations tends to bring a thermodynamic system toward a macroscopic state that corresponds to a maximum in the number of microscopic states (or micro-states)
that are compatible with this macroscopic state. In other words,
thermal fluctuations tend to bring a system toward its macroscopic state
of maximum entropy.
Brownian motion
The entropic approach to Brownian movement was initially proposed by R. M. Neumann.Neumann derived the entropic force for a particle undergoing three-dimensional Brownian motion using the Boltzmann equation, denoting this force as a diffusional driving force or radial force. In the paper, three example systems are shown to exhibit such a force:
A standard example of an entropic force is the elasticity of a freely jointed polymer molecule. For an ideal chain, maximizing its entropy means reducing the distance
between its two free ends. Consequently, a force that tends to collapse
the chain is exerted by the ideal chain between its two free ends. This
entropic force is proportional to the distance between the two ends.The entropic force by a freely jointed chain has a clear mechanical origin and can be computed using constrained Lagrangian dynamics. With regards to biological polymers, there appears to be an intricate
link between the entropic force and function. For example, disordered
polypeptide segments – in the context of the folded regions of the same
polypeptide chain – have been shown to generate an entropic force that
has functional implications.
Another example of an entropic force is the hydrophobic
force. At room temperature, it partly originates from the loss of
entropy by the 3D network of water molecules when they interact with
molecules of dissolved substance. Each water molecule is capable of
Therefore, water molecules can form an extended three-dimensional
network. Introduction of a non-hydrogen-bonding surface disrupts this
network. The water molecules rearrange themselves around the surface,
so as to minimize the number of disrupted hydrogen bonds. This is in
contrast to hydrogen fluoride (which can accept 3 but donate only 1) or ammonia (which can donate 3 but accept only 1), which mainly form linear chains.
If the introduced surface had an ionic or polar nature, there
would be water molecules standing upright on 1 (along the axis of an
orbital for ionic bond) or 2 (along a resultant polarity axis) of the
four sp3 orbitals. These orientations allow easy movement, i.e. degrees of freedom, and
thus lowers entropy minimally. But a non-hydrogen-bonding surface with a
moderate curvature forces the water molecule to sit tight on the
surface, spreading 3 hydrogen bonds tangential to the surface, which
then become locked in a clathrate-like
basket shape. Water molecules involved in this clathrate-like basket
around the non-hydrogen-bonding surface are constrained in their
orientation. Thus, any event that would minimize such a surface is
entropically favored. For example, when two such hydrophobic particles
come very close, the clathrate-like baskets surrounding them merge.
This releases some of the water molecules into the bulk of the water,
leading to an increase in entropy.
Another related and counter-intuitive example of entropic force is protein folding, which is a spontaneous process and where hydrophobic effect also plays a role. Structures of water-soluble proteins typically have a core in which hydrophobic side chains are buried from water, which stabilizes the folded state. Charged and polar
side chains are situated on the solvent-exposed surface where they
interact with surrounding water molecules. Minimizing the number of
hydrophobic side chains exposed to water is the principal driving force
behind the folding process, although formation of hydrogen bonds within the protein also stabilizes protein structure.
Colloids
Entropic forces are important and widespread in the physics of colloids, where they are responsible for the depletion force, and the ordering of hard particles, such as the crystallization of hard spheres, the isotropic-nematic transition in liquid crystal phases of hard rods, and the ordering of hard polyhedra. Because of this, entropic forces can be an important driver of self-assembly
Entropic forces arise in colloidal systems due to the osmotic pressure
that comes from particle crowding. This was first discovered in, and is
most intuitive for, colloid-polymer mixtures described by the Asakura–Oosawa model.
In this model, polymers are approximated as finite-sized spheres that
can penetrate one another, but cannot penetrate the colloidal particles.
The inability of the polymers to penetrate the colloids leads to a
region around the colloids in which the polymer density is reduced. If
the regions of reduced polymer density around two colloids overlap with
one another, by means of the colloids approaching one another, the
polymers in the system gain an additional free volume that is equal to
the volume of the intersection of the reduced density regions. The
additional free volume causes an increase in the entropy of the
polymers, and drives them to form locally dense-packed aggregates. A
similar effect occurs in sufficiently dense colloidal systems without
polymers, where osmotic pressure also drives the local dense packing of colloids into a diverse array of structures that can be rationally designed by modifying the shape of the particles. These effects are for anisotropic particles referred to as directional entropic forces.
Cytoskeleton
Contractile forces in biological cells are typically driven by molecular motors associated with the cytoskeleton. However, a growing body of evidence shows that contractile forces may also be of entropic origin. The foundational example is the action of microtubule crosslinker Ase1, which localizes to microtubule overlaps in the mitotic spindle.
Molecules of Ase1 are confined to the microtubule overlap, where they
are free to diffuse one-dimensionally. Analogically to an ideal gas in a
container, molecules of Ase1 generate pressure on the overlap ends.
This pressure drives the overlap expansion, which results in the
contractile sliding of the microtubules. An analogous example was found in the actin cytoskeleton. Here, the actin-bundling protein anillin drives actin contractility in cytokinetic rings.
Controversial examples
Some forces that are generally regarded as conventional forces have been argued to be actually entropic in nature. These theories remain controversial and are the subject of ongoing work. Matt Visser, professor of mathematics at Victoria University of Wellington, NZ in "Conservative Entropic Forces" criticizes selected approaches but generally concludes:
There is no reasonable doubt
concerning the physical reality of entropic forces, and no reasonable
doubt that classical (and semi-classical) general relativity is closely
related to thermodynamics. Based on the work of Jacobson, Thanu Padmanabhan,
and others, there are also good reasons to suspect a thermodynamic
interpretation of the fully relativistic Einstein equations might be
possible.
In 2009, Erik Verlinde argued that gravity can be explained as an entropic force. It claimed (similar to Jacobson's
result) that gravity is a consequence of the "information associated
with the positions of material bodies". This model combines the
thermodynamic approach to gravity with Gerard 't Hooft's holographic principle. It implies that gravity is not a fundamental interaction, but an emergent phenomenon.
Other forces
In the wake of the discussion started by Verlinde, entropic explanations for other fundamental forces have been suggested, including Coulomb's law. The same approach was argued to explain dark matter, dark energy and Pioneer effect.
Links to adaptive behavior
It was argued that causal entropic forces lead to spontaneous emergence of tool use and social cooperation. Causal entropic forces by definition maximize entropy production
between the present and future time horizon, rather than just greedily
maximizing instantaneous entropy production like typical entropic
forces.
A formal simultaneous connection between the mathematical
structure of the discovered laws of nature, intelligence and the
entropy-like measures of complexity was previously noted in 2000 by
Andrei Soklakov in the context of Occam's razor principle.
The evolution of human intelligence is closely tied to the evolution of the human brain and to the origin of language. The timeline of human evolution spans approximately seven million years, from the separation of the genus Pan until the emergence of behavioral modernity by 50,000 years ago. The first three million years of this timeline concern Sahelanthropus, the following two million concern Australopithecus and the final two million span the history of the genus Homo in the Paleolithic era.
The great apes (Hominidae) show some cognitive and empathic abilities. Chimpanzees can make tools and use them to acquire foods and for social displays; they have mildly complex hunting strategies requiring cooperation, influence and rank; they are status conscious, manipulative and capable of deception; they can learn to use symbols and understand aspects of human language including some relational syntax, concepts of number and numerical sequence. One common characteristic that is present in species of "high degree intelligence" (i.e. dolphins, great apes, and humans - Homo sapiens)
is a brain of enlarged size. Additionally, these species have a more
developed neocortex, a folding of the cerebral cortex, and von Economo neurons.
Said neurons are linked to social intelligence and the ability to gauge
what another is thinking or feeling and are also present in bottlenose
dolphins.
Homininae
Chimpanzee mother and baby
Around 10 million years ago, the Earth's climate entered a cooler and drier phase, which led eventually to the Quaternary glaciation beginning some 2.6 million years ago. One consequence of this was that the north African tropical forest began to retreat, being replaced first by open grasslands and eventually by desert (the modern Sahara).
As their environment changed from continuous forest to patches of
forest separated by expanses of grassland, some primates adapted to a
partly or fully ground-dwelling life where they were exposed to predators, such as the big cats, from whom they had previously been safe.
These environmental pressures caused selection to favor bipedalism
- walking on hind legs. This gave the Homininae's eyes greater
elevation, the ability to see approaching danger further off, and a more
efficient means of locomotion. It also freed their arms from the task of walking and made the hands
available for tasks such as gathering food. At some point the bipedal primates developed handedness, giving them the ability to pick up sticks, bones and stones and use them as weapons, or as tools for tasks such as killing smaller animals, cracking nuts, or cutting up carcasses. In other words, these primates developed the use of primitive technology. Bipedal tool-using primates from the subtribe Hominina date back to as far as about 5 to 7 million years ago, such as one of the earliest species, Sahelanthropus tchadensis.
From about 5 million years ago, the hominin brain began to develop rapidly in both size and differentiation of function.
There has been a gradual increase in brain volume as humans progressed along the timeline of evolution (see Homininae), starting from about 600 cm3 in Homo habilis up to 1500 cm3 in Homo neanderthalensis. Thus, in general there's a positive correlation between brain volume and intelligence. However, modern Homo sapiens have a brain volume slightly smaller (1250 cm3) than neanderthals, and the Flores hominids (Homo floresiensis), nicknamed hobbits, had a cranial capacity of about 380 cm3 (considered small for a chimpanzee) about a third of that of Homo erectus. It is proposed that they evolved from H. erectus
as a case of insular dwarfism. With their three-times-smaller brain,
the Flores hominids apparently used fire and made tools as sophisticated
as those of their ancestor H. erectus.
Roughly 2.4 million years ago Homo habilis had appeared in East Africa: the first known human species, and the first known to make stone tools, yet the disputed findings of signs of tool use from even earlier ages and from the same vicinity as multiple Australopithecus fossils may put to question how much more intelligent than its predecessors H. habilis was.
The use of tools conferred a crucial evolutionary advantage, and
required a larger and more sophisticated brain to co-ordinate the fine
hand movements required for this task. Our knowledge of the complexity of behaviour of Homo habilis is not limited to stone culture; they also had habitual therapeutic use of toothpicks.
A larger brain requires a larger skull, and thus is accompanied by other morphological and biological evolutionary changes. One such change required for the female to have a wider birth canal
for the newborn's larger skull to pass through. The solution to this
was to give birth at an early stage of fetal development, before the
skull grew too large to pass through the birth canal. Other accompanying
adaptations were the smaller maxillary and mandibular bones, smaller
and weaker facial muscles, and shortening and flattening of the face
resulting in modern-human's complex cognitive and linguistic
capabilities as well as the ability to create facial expressions and
smile. Consequentially, dental issues in modern humans arise from these
morphological changes that are exacerbated by a shift from nomadic to
sedentary lifestyles.
Humans' increasingly sedentary lifestyle to protect their more
vulnerable offspring led them to grow even more dependent on tool-making
to compete with other animals and other humans, and rely less on body
size and strength.
About 200,000 years ago Europe and the Middle East were colonized by Neanderthals, extinct by 39,000 years ago following the appearance of modern humans in the region from 40,000 to 45,000 years ago.
History of humans
In the Late Pliocene, hominins were set apart from modern great
apes and other closely related organisms by the anatomical evolutionary
changes resulting in bipedalism, or the ability to walk upright. Characteristics such as a supraorbital torus, or prominent eyebrow ridge, and flat face also makes Homo erectus distinguishable. Their brain size substantially sets them apart from closely related species, such as H. habilis, as seen by an increase in average cranial capacity of 1000 cc. Compared to earlier species, H. erectus
developed keels and small crests in the skull showing morphological
changes of the skull to support increased brain capacity. It is believed
that Homo erectus were, anatomically, modern humans as they are
very similar in size, weight, bone structure, and nutritional habits.
Over time, however, human intelligence developed in phases that is
interrelated with brain physiology, cranial anatomy and morphology, and
rapidly changing climate and environments.
Drawing of Acheulean handaxe from Spain from front, back, side, and top profile
Tool-use
The study of the evolution of cognition relies on the archaeological
record made up of assemblages of material culture, particularly from the
Paleolithic Period,
to make inferences about our ancestors' cognition.
Paleo-anthropologists from the past half-century have had the tendency
of reducing stone tool
artifacts to physical products of the metaphysical activity taking
place in the brains of hominins. Recently, a new approach called 4E cognition (see Models for other approaches) has been developed by cognitive archaeologists Lambros Malafouris, Thomas G. Wynn, and Karenleigh A. Overmann,
to move past the "internal" and "external" dichotomy by treating stone
tools as objects with agency in both providing insight to hominin
cognition and having a role in the development of early hominin
cognition. The 4E cognition approach describes cognition as embodied, embedded,
enactive, and extended, to understand the interconnected nature between
the mind, body, and environment.
There are four major categories of tools created and used throughout human evolution that are associated with the corresponding evolution of the brain and intelligence. Stone tools such as flakes and cores used by Homo habilis for cracking bones to extract marrow, known as the Oldowan
culture, make up the oldest major category of tools from about 2.5 and
1.6 million years ago. The development of stone tool technology suggests
that our ancestors had the ability to hit cores with precision, taking
into account the force and angle of the strike, and the cognitive
planning and capacity to envision a desired outcome.
Stone tools from the Paleolithic Period, also known as the Stone Age, are indicative of cognitive advancements throughout human evolutionary history.
Acheulean culture, associated with Homo erectus,
is composed of bifacial, or double-sided, hand-axes, that "requires
more planning and skill on the part of the toolmaker; he or she would
need to be aware of principles of symmetry". In addition, some sites show evidence that selection of raw materials
involved travel, advanced planning, cooperation, and thus communication
with other hominins.
The third major category of tool industry marked by its innovation in tool-making technique and use is the Mousterian
culture. Compared to previous tool cultures, in which tools were
regularly discarded after use, Mousterian tools, associated with Neanderthals, were specialized, built to last, and "formed a true toolkit". The making of these tools, called the Levallois technique,
involves a multi-step process which yields several tools. In
combination with other data, the formation of this tool culture for
hunting large mammals in groups evidences the development of speech for
communication and complex planning capabilities.
While previous tool cultures did not show great variation, the tools of early modern Homo sapiens are robust in the amount of artifacts and diversity in utility. There are several styles associated with this category of the Upper Paleolithic, such as blades, boomerangs, atlatls
(spear throwers), and archery made from varying materials of stone,
bone, teeth, and shell. Beyond use, some tools have been shown to have
served as signifiers of status and group membership. The role of tools
for social uses signal cognitive advancements such as complex language
and abstract relations to things.
The eldest findings of Homo sapiens in Jebel Irhoud, Morocco date back c. 300,000 years. Fossils of Homo sapiens were found in East Africa which are c. 200,000 years old. It is unclear to what extent these early modern humans had developed language, music, religion, etc. The cognitive tradeoff hypothesis
proposes that there was an evolutionary tradeoff between short-term
working memory and complex language skills over the course of human
evolution.
According to proponents of the Toba catastrophe theory,
the climate in non-tropical regions of the earth experienced a sudden
freezing about 70,000 years ago, because of a huge explosion of the Toba
volcano that filled the atmosphere with volcanic ash for several years.
This reduced the human population to less than 10,000 breeding pairs in
equatorial Africa, from which all modern humans are descended. Being
unprepared for the sudden change in climate, the survivors were those
intelligent enough to invent new tools and ways of keeping warm and
finding new sources of food (for example, adapting to ocean fishing
based on prior fishing skills used in lakes and streams that became
frozen).
Motor and sensory areas of the cerebral cortex; dashed areas shown are commonly left hemisphere dominant.
The human brain has evolved gradually over the passage of time; a
series of incremental changes occurring as a result of external stimuli
and conditions. It is crucial to keep in mind that evolution operates
within a limited framework at a given point in time. In other words, the
adaptations that a species can develop are not infinite and are defined
by what has already taken place in the evolutionary timeline of a
species. Given the immense anatomical and structural complexity of the
brain, its evolution (and the congruent evolution of human
intelligence), can only be reorganized in a finite number of ways. The
majority of said changes occur either in terms of size or in terms of
developmental timeframes.
The cerebral cortex
is divided into four lobes (frontal, parietal, occipital, and temporal)
each with specific functions. The cerebral cortex is significantly
larger in humans than in any other animal and is responsible for higher
thought processes such as reasoning, abstract thinking, and decision
making. Another characteristic that makes humans special and sets them apart
from any other species is our ability to produce and understand complex,
syntactic language. The cerebral cortex, particularly in the temporal,
parietal, and frontal lobes, are populated with neural circuits
dedicated to language. There are two main areas of the brain commonly
associated with language, namely: Wernicke's area and Broca's area.
The former is responsible for the understanding of speech and the
latter for the production of speech. Homologous regions have been found
in other species (i.e. Area 44 and 45 have been studied in chimpanzees)
but they are not as strongly related to or involved in linguistic
activities as in humans.
Models
Massive modularity of mind
Each
card has a number on one side, and a patch of color on the other. Which
card or cards must be turned over to test the idea that if a card shows
an even number on one face, then its opposite face is blue?
Each
card has an age on one side, and a drink on the other. Which card or
cards must be turned over to test the idea that if someone is drinking
alcohol then they must be over 18?
In 2004, psychologist Satoshi Kanazawa argued that g was a domain-specific, species-typical, information processingpsychological adaptation, and in 2010, Kanazawa argued that g
correlated only with performance on evolutionarily unfamiliar rather
than evolutionarily familiar problems, proposing what he termed the
"Savanna-IQ interaction hypothesis". In 2006, Psychological Review published a comment reviewing Kanazawa's 2004 article by psychologists Denny Borsboom and Conor Dolan that argued that Kanazawa's conception of g was empirically unsupported and purely hypothetical and that an evolutionary account of g must address it as a source of individual differences. In response to Kanazawa's 2010 article, psychologists Scott Barry Kaufman, Colin G. DeYoung, Deirdre Reis, and Jeremy R. Gray gave 112 subjects a 70-item computerized version of the Wason selection task (a logic puzzle) in a social relations context as proposed by Leda Cosmides and John Tooby in The Adapted Mind, and found instead that "performance on non-arbitrary, evolutionarily
familiar problems is more strongly related to general intelligence than
performance on arbitrary, evolutionarily novel problems".
Peter Cathcart Wason originally demonstrated that not even 10% of subjects found the correct solution and his finding was replicated. Psychologists Patricia Cheng, Keith Holyoak, Richard E. Nisbett, and Lindsay M. Oliver demonstrated experimentally that subjects who have completed semester-long college courses in propositional calculus do not perform better on the Wason selection task than subjects who do not complete such college courses. Tooby and Cosmides originally proposed a social relations context for
the Wason selection task as part of a larger computational theory of
social exchange after they began reviewing the previous experiments
about the task beginning in 1983. Despite other experimenters finding that some contexts elicited more
correct subject responses than others, no theoretical explanation for
differentiating between them was identified until Tooby and Cosmides
proposed that disparities in subjects performance on contextualized
versus non-contextualized variations of the task was an artifact of the task measuring a specializedcheater-detectionmodule. Tooby and Cosmides later noted that whether there are evolved cognitive mechanisms for the content-blind rules of logical inference is disputed, and consistently noted that a body of research about the Wason
selection task had concluded that cognitive adaptations for social
exchange were not a by-product of general-purpose reasoning mechanisms, domain-general learning mechanisms, or g.
Flynn had argued earlier that the Flynn effect presented multiple paradoxes for g as a psychological trait with a heritable basis because the increases in the statistical average scores among later birth year cohorts
born in the 20th century were occurring without sufficient increases in
vocabulary size, general knowledge, and ability to solve arithmetical
problems, and that the increases were so large that they would imply
that the statistically average members of the birth year cohorts in the
late 19th century and early 20th century (the Lost Generation and the Greatest Generation) would have been intellectually disabled (as well as more distant human ancestors). Hunt noted that the latter paradox would imply that half of the soldiers who served in the U.S. military during World War II would not pass the Armed Services Vocational Aptitude Battery in 2008. Flynn proposed that these paradoxes could be answered by the increasing
use of abstraction, logic, and scientific reasoning to address
problems, while Nisbett argued that the Flynn effect was largely attributable to
increases in formal education among human populations during the 20th
century.
Pinker has also noted that writing is not a cultural universal since writing systems were independently invented only a few times in human history and most societies documented by ethnographers lacked writing systems, while literacy rates in European countries did not begin to exceed 50 percent until the 17th century since the movable-typeprinting press was not invented until the 15th century. Similarly to the lack of improvement in performance on the Wason
selection task by college students that take courses in propositional
calculus, Pinker referenced the response by professional mathematicians
and statisticians to the solution to the Monty Hall problem published in Parade in 1990 in noting the dominance of automatic processes over controlled processes for formal logical reasoning following the dual process model proposed by psychologists Daniel Kahneman and Amos Tversky. While Pinker has suggested that the evolution of human intelligence
could be explained by intelligence itself being the product of metaphor (stemming from the ability to create arbitrarymorphemes) and combinatorial grammar (allowing nesting of verb phrases in syntax) that together enable the infinite composition of sentences,Pinker has also argued that the Flynn effect is likely caused by
increased amounts of formal education in addition to other factors.
Tooby and Cosmides suggested that the human mind does have a domain-general, content-independent, and general-purpose improvisational intelligence that resembles general intelligence, and which possibly evolved to generate solutions in novel situations where the dedicated intelligences did not produce an optimal response. However, in light of the frame problem and combinatorial explosion in artificial intelligence and because all adaptations require selection pressure
from recurrent problems, Tooby and Cosmides argue that a complete blank
slate mind entirely shaped by general intelligence following the standard social science model
is not computationally capable of performing the cognitive tasks or
solving the adaptive problems that the human mind evolved to perform and
solve, such as visual perception, language acquisition, recognizing emotional expressions, mate choice, cultural learning, and cheater-detection in social exchange.
The social brain hypothesis was proposed by British anthropologist Robin Dunbar,
who argues that human intelligence did not evolve primarily as a means
to solve ecological problems, but rather as a means of surviving and
reproducing in large and complex social groups. Some of the behaviors associated with living in large groups include
reciprocal altruism, deception, and coalition formation. These group
dynamics relate to Theory of Mind
or the ability to understand the thoughts and emotions of others,
though Dunbar himself admits in the same book that it is not the
flocking itself that causes intelligence to evolve (as shown by ruminants).
Dunbar argues that when the size of a social group increases, the
number of different relationships in the group may increase by orders
of magnitude. Chimpanzees live in groups of about 50 individuals whereas
humans typically have a social circle of about 150 people, which is
also the typical size of social communities in small societies and
personal social networks; this number is now referred to as Dunbar's number.
In addition, there is evidence to suggest that the success of groups is
dependent on their size at foundation, with groupings of around 150
being particularly successful, potentially reflecting the fact that
communities of this size strike a balance between the minimum size of
effective functionality and the maximum size for creating a sense of
commitment to the community. According to the social brain hypothesis, when hominids started living
in large groups, selection favored greater intelligence. As evidence,
Dunbar cites a relationship between neocortex size and group size of
various mammals.
Criticism
Phylogenetic
studies of brain sizes in primates show that while diet predicts
primate brain size, sociality does not predict brain size when
corrections are made for cases in which diet affects both brain size and
sociality. The exceptions to the predictions of the social intelligence
hypothesis, which that hypothesis has no predictive model for, are
successfully predicted by diets that are either nutritious but scarce or
abundant but poor in nutrients. Researchers have found that frugivores tend to exhibit larger brain size than folivores. One potential explanation for this finding is that frugivory requires
"extractive foraging", or the process of locating and preparing
hard-shelled foods, such as nuts, insects, and fruit. Extractive foraging requires higher cognitive processing, which could help explain larger brain size. However, other researchers argue that extractive foraging was not a
catalyst in the evolution of primate brain size, demonstrating that some
non primates exhibit advanced foraging techniques. Other explanations for the positive correlation between brain size and
frugivory highlight how the high-energy, frugivore diet facilitates
fetal brain growth and requires spatial mapping to locate the embedded
foods.
Meerkats
have far more social relationships than their small brain capacity
would suggest. Another hypothesis is that it is actually intelligence
that causes social relationships to become more complex, because
intelligent individuals are more difficult to learn to know.
There are also studies that show that Dunbar's number is not the
upper limit of the number of social relationships in humans either.
The hypothesis that it is brain capacity that sets the upper
limit for the number of social relationships is also contradicted by
computer simulations that show simple unintelligent reactions to be
sufficient to emulate "ape politics" and by the fact that some social insects such as the paper wasp do have
hierarchies in which each individual has its place (as opposed to
herding without social structure) and maintains their hierarchies in
groups of approximately 80 individuals with their brains smaller than
that of any mammal.
Insects provide an opportunity to explore this since they exhibit
an unparalleled diversity of social forms to permanent colonies
containing many individuals working together as a collective organism
and have evolved an impressive range of cognitive skills despite their
small nervous systems. Social insects are shaped by ecology, including their social
environment. Studies aimed to correlating brain volume to complexity
have failed to identify clear correlations between sociality and
cognition because of cases like social insects. In humans, societies are
usually held together by the ability of individuals to recognize
features indicating group membership. Social insects, likewise, often
recognize members of their colony allowing them to defend against
competitors. Ants do this by comparing odors which require fine
discrimination of multicomponent variable cues. Studies suggest this recognition is achieved through simple cognitive
operations that do not involve long-term memory but through sensory
adaptation or habituation. In honeybees, their symbolic 'dance' is a form of communication that
they use to convey information with the rest of their colony. In an even
more impressive social use of their dance language, bees indicate
suitable nest locations to a swarm in search of a new home. The swarm
builds a consensus from multiple 'opinions' expressed by scouts with
different information, to finally agree on a single destination to which
the swarm relocates.
Similar to, but distinct from the social brain hypothesis, is the
cultural intelligence or cultural brain hypothesis, which dictates that
human brain size, cognitive ability, and intelligence have increased
over generations due to cultural information from a mechanism known as
social learning. The hypothesis also predicts a positive correlation between species
with a higher dependency and more frequent opportunities for social
learning and overall cognitive ability. This is because social learning allows species to develop cultural
skills and strategies for survival; in this way it can be said that
heavily cultural species should in theory be more intelligent.
Humans have been widely acknowledged as the most intelligent
species on the planet, with big brains with ample cognitive abilities
and processing power which outcompete all other species. In fact, humans have shown an enormous increase in brain size and intelligence over millions of years of evolution. This is because humans have been referred to as an 'evolved cultural
species'; one that has an unrivalled reliance on culturally transmitted
knowledge due to the social environment around us. This is down to social transmission of information which spreads
significantly faster in human populations relative to changes in
genetics. Put simply, humans are the most cultural species there is, and are
therefore the most intelligent species there is. The key point when
concerning evolution of intelligence is that this cultural information
has been consistently transmitted across generations to build vast
amounts of cultural skills and knowledge throughout the human race. Dunbar's social brain hypothesis on the other hand dictates that our
brains evolved primarily due to complex social interactions in groups, so in this way the two hypotheses are distinct from each other in that
the cultural intelligence hypothesis focuses more on an in increase in
intelligence from socially transmitted information. A shift in focus
from 'social' interactions to learning strategies can be seen through
this. The hypothesis can also be seen to contradict the idea of human
'general intelligence' by emphasising the process of cultural skills and
information being learned from others.
In 2018, Muthukrishna
and researchers constructed a model based on the cultural intelligence
hypothesis which revealed relationships between brain size, group size,
social learning and mating structures. The model had three underlying assumptions:
Brain size, complexity and organisation were grouped into one variable
A larger brain results in larger capacity for adaptive knowledge
More adaptive knowledge increases fitness of organisms
Using evolutionary simulation, the researchers were able to confirm
the existence of hypothesised relationships. Results concerning the
cultural intelligence hypothesis model showed that larger brains can
store more information and adaptive knowledge, thus supporting larger
groups. This abundance of adaptive knowledge can then be used for
frequent social learning opportunities.
Further empirical evidence
As previously mentioned, social learning is the foundation of the
cultural intelligence hypothesis and can be described simplistically as
learning from others. It involves behaviours such as imitation,
observational learning, influences from family and friends and explicit
teaching from others. What sets humans apart from other species is that, due to our emphasis
on culturally acquired information, humans have evolved to already
possess significant social learning abilities from infancy. Neurological
studies on nine month old infants were conducted by researchers in 2012
to demonstrate this phenomenon. The study involved infants observing a caregiver making a sound with a
rattle over a period of one week. The brains of the infants were
monitored throughout the study. Researchers found that the infants were
able to activate neural pathways associated with making a sound with the
rattle without actually doing the action themselves, showing human
social learning in action- infants were able to understand the effects
of a particular action simply by observing the performance of the action
by someone else. Not only does this study demonstrate the neural
mechanisms of social learning, but it also demonstrates our inherent
ability to acquire cultural skills from those around us from the very
start of our lives- it therefore shows strong support for the cultural
intelligent hypothesis.
Various studies have been conducted to show the cultural
intelligence hypothesis in action on a wider scale. One particular study
in 2016 investigated two orangutan species, including the more social
Sumatran species and the less sociable Bornean species. The aim was to
test the notion that species with a higher frequency of opportunities
for social learning should evolve to be more intelligent. Results showed that the Sumatrans consistently performed better in
cognitive tests compared to the less sociable Borneans. The Sumatrans
also showed greater inhibition and more cautious behaviour within their
habitat. This was one of the first studies to show evidence for the
cultural intelligence hypothesis in a non human species- frequency of
learning opportunities had gradually produced differences in cognitive
abilities between the two species.
Transformative cultural intelligence hypothesis
A study in 2018 proposed an altered variant of the original version
of the hypothesis called the 'transformative cultural intelligence
hypothesis'. The research involved investigating four year old's problem solving
skills in different social contexts. The children were asked to extract a
floating object from a tube using water. Nearly all were unsuccessful
without cues, however most children succeeded after being shown a
pedagogical solution suggesting video. When the same video was shown in a
non pedagogical manner however, the children's success in the task did
not improve. Crucially, this meant that the children's physical
cognition and problem solving ability was therefore affected by how the
task was socially presented to them. Researchers thus formulated the
transformative cultural intelligence hypothesis, which stresses that our
physical cognition is developed and affected by the social environment
around us. This challenges the traditional cultural intelligence
hypothesis which states that it is human's social cognition and not
physical cognition which is superior to our nearest primate relatives; showing unique physical cognition in humans affected by external social
factors. This phenomenon has not been seen in other species.
Reduction in aggression
Another theory that tries to explain the growth of human intelligence is the reduced aggression theory (aka self-domestication theory). According to this strand of thought, what led to the evolution of advanced intelligence in Homo sapiens
was a drastic reduction of the aggressive drive. This change separated
us from other species of monkeys and primates, where this aggressivity
is still in plain sight, and eventually lead to the development of
quintessential human traits such as empathy, social cognition, and
culture. This theory has received strong support from studies of animal
domestication where selective breeding for tameness has, in only a few
generations, led to the emergence of impressive "humanlike" abilities.
Tamed foxes, for example, exhibit advanced forms of social communication
(following pointing gestures), pedomorphic physical features (childlike
faces, floppy ears) and even rudimentary forms of theory of mind (eye contact seeking, gaze following). Evidence also comes from the field of ethology
(which is the study of animal behavior, focused on observing species in
their natural habitat rather than in controlled laboratory settings)
where it has been found that animals with a gentle and relaxed manner of
interacting with each other – for example stumptailed macaques,
orangutans and bonobos – have more advanced socio-cognitive abilities
than those found among the more aggressive chimpanzees and baboons. It is hypothesized that these abilities derive from a selection against aggression.
On a mechanistic level, these changes are believed to be the
result of a systemic downregulation of the sympathetic nervous system
(the fight-or-flight reflex). Hence, tamed foxes show a reduced adrenal
gland size and have an up to fivefold reduction in both basal and
stress-induced blood cortisol levels.Similarly, domesticated rats and guinea pigs have both reduced adrenal gland size and reduced blood corticosterone levels. It seems as though the neoteny
of domesticated animals significantly prolongs the immaturity of their
hypothalamic-pituitary-adrenal system (which is otherwise only immature
for a short period when they are pups/kittens) and this opens up a
larger "socialization window" during which they can learn to interact
with their caretakers in a more relaxed way.
This downregulation of sympathetic nervous system reactivity is
also believed to be accompanied by a compensatory increase in a number
of opposing organs and systems. Although these are not as well
specified, various candidates for such "organs" have been proposed: the
parasympathetic system as a whole, the septal area over the amygdala, the oxytocin system, the endogenous opioids and various forms of quiescent immobilization which antagonize the fight-or-flight reflex.
This model, which invokes sexual selection, is proposed by Geoffrey Miller who argues that human intelligence is unnecessarily sophisticated for the needs of hunter-gatherers to survive. He argues that the manifestations of intelligence such as language, music and art did not evolve because of their utilitarian value to the survival of ancient hominids. Rather, intelligence may have been a fitness indicator. Hominids would have been chosen for greater intelligence as an indicator of healthy genes and a Fisherian runawaypositive feedback loop of sexual selection would have led to the evolution of human intelligence in a relatively short period. Philosopher Denis Dutton also argued that the human capacity for aesthetics evolved by sexual selection.
In many species, only males have impressive secondary sexual characteristics
such as ornaments and show-off behavior, but sexual selection is also
thought to be able to act on females as well in at least partially monogamous species. With complete monogamy, there is assortative mating
for sexually selected traits. This means that less attractive
individuals will find other less attractive individuals to mate with. If
attractive traits are good fitness indicators, this means that sexual
selection increases the genetic load
of the offspring of unattractive individuals. Without sexual selection,
an unattractive individual might find a superior mate with few
deleterious mutations, and have healthy children that are likely to
survive. With sexual selection, an unattractive individual is more
likely to have access only to an inferior mate who is likely to pass on
many deleterious mutations to their joint offspring, who are then less
likely to survive.
Sexual selection is often thought to be a likely explanation for
other female-specific human traits, for example breasts and buttocks far
larger in proportion to total body size than those found in related
species of ape. It is often assumed that if breasts and buttocks of such large size
were necessary for functions such as suckling infants, they would be
found in other species. That human female breasts (typical mammalian
breast tissue is small) are found sexually attractive by many men is in agreement with sexual selection acting on human females secondary sexual characteristics.
Sexual selection for intelligence and judging ability can act on
indicators of success, such as highly visible displays of wealth.
Growing human brains require more nutrition than brains of related
species of ape. It is possible that for females to successfully judge
male intelligence, they must be intelligent themselves. This could
explain why despite the absence of clear differences in intelligence
between males and females on average, there are clear differences
between male and female propensities to display their intelligence in
ostentatious forms.
Critique
The sexual selection by the disability principle/fitness display
model of the evolution of human intelligence is criticized by certain
researchers for issues of timing of the costs relative to reproductive
age. While sexually selected ornaments such as peacock feathers and
moose antlers develop either during or after puberty, timing their costs
to a sexually mature age, human brains expend large amounts of
nutrients building myelin
and other brain mechanisms for efficient communication between the
neurons early in life. These costs early in life build facilitators that
reduce the cost of neuron firing later in life, and as a result the
peaks of the brain's costs and the peak of the brain's performance are
timed on opposite sides of puberty with the costs peaking at a sexually
immature age while performance peaks at a sexually mature age. Critical
researchers argue the above shows that the cost of intelligence is a
signal which reduces the chance of surviving to reproductive age, and
does not signal fitness of sexually mature individuals. Since the
disability principle is about selection from disabilities in sexually
immature individuals, which increases the offspring's chance of survival
to reproductive age, disabilities would be selected against and not for
by the above mechanism. These critics argue that human intelligence
evolved by natural selection citing that unlike sexual selection,
natural selection have produced many traits that cost the most nutrients
before puberty including immune systems and accumulation and
modification for increased toxicity of poisons in the body as a
protective measure against predators.
Intelligence as a disease-resistance sign
The number of people with severe cognitive impairment caused by childhood viral infections like meningitis, protists like Toxoplasma and Plasmodium, and animal parasites like intestinal worms and schistosomes is estimated to be in the hundreds of millions. Even more people with moderate mental damages, such as an inability to
complete difficult tasks, that are not classified as 'diseases' by
medical standards, may still be considered as inferior mates by
potential sexual partners.
Thus, widespread, virulent,
and archaic infections are greatly involved in natural selection for
cognitive abilities. People infected with parasites may have brain
damage and obvious maladaptive behavior in addition to visible signs of
disease. Smarter people can more skillfully learn to distinguish safe
non-polluted water and food from unsafe kinds and learn to distinguish
mosquito infested areas from safe areas. Additionally, they can more
skillfully find and develop safe food sources and living environments.
Given this situation, preference for smarter child-bearing/rearing
partners increases the chance that their descendants will inherit the
best resistance alleles, not only for immune system
resistance to disease, but also smarter brains for learning skills in
avoiding disease and selecting nutritious food. When people search for
mates based on their success, wealth, reputation, disease-free body
appearance, or psychological traits such as benevolence or confidence;
the effect is to select for superior intelligence that results in
superior disease resistance.
Ecological dominance-social competition model
Another model describing the evolution of human intelligence is ecological dominance-social competition (EDSC), explained by Mark V. Flinn, David C. Geary and Carol V. Ward based mainly on work by Richard D. Alexander.
According to the model, human intelligence was able to evolve to
significant levels because of the combination of increasing domination
over habitat
and increasing importance of social interactions. As a result, the
primary selective pressure for increasing human intelligence shifted
from learning to master the natural world to competition for dominance among members or groups of its own species.
As advancement, survival and reproduction within an increasing
complex social structure favored ever more advanced social skills, communication
of concepts through increasingly complex language patterns ensued.
Since competition had shifted bit by bit from controlling "nature" to
influencing other humans, it became of relevance to outmaneuver other
members of the group seeking leadership or acceptance, by means of more advanced social skills. A more social and communicative person would be more easily selected.
Intelligence dependent on brain size
Human intelligence is developed to an extreme level that is not
necessarily adaptive in an evolutionary sense. Firstly, larger-headed
babies are more difficult to give birth to and large brains are costly in terms of nutrient and oxygen requirements. Thus the direct adaptive benefit of human intelligence is questionable
at least in modern societies, while it is difficult to study in
prehistoric societies. Since 2005, scientists have been evaluating
genomic data on gene variants thought to influence head size, and have
found no evidence that those genes are under strong selective pressure
in current human populations. The trait of head size has become generally fixed in modern human beings.
While decreased brain size has strong correlation with lower
intelligence in humans, some modern humans have brain sizes as small as
with Homo erectus but normal intelligence (based on IQ tests) for
modern humans. Increased brain size in humans may allow for greater
capacity for specialized expertise.
Expanded cortical regions
The two major perspectives on primate brain evolution are the concerted and mosaic approaches. In the concerted evolution approach, cortical expansions in the brain
are considered to be a by-product of a larger brain, rather than
adaptive potential. Studies have supported the concerted evolution model by finding cortical expansions between macaques and marmosets are comparable to that of humans and macaques. Researchers attribute this result to the constraints on the evolutionary process of increasing brain size. In the mosaic approach, cortical expansions are attributed to their adaptive advantage for the species. Researchers have attributed hominin evolution to mosaic evolution.
Simian primate brain evolution studies show that specific
cortical regions associated with high-level cognition have demonstrated
the greatest expansion over primate brain evolution. Sensory and motor regions have showcased limited growth. Three regions associated with complex cognition include the frontal lobe, temporal lobe, and the medial wall of the cortex. Studies demonstrate that the enlargement in these regions is disproportionately centered in the temporoparietal junction (TPJ), lateral prefrontal cortex (LPFC), and anterior cingulate cortex (ACC). The TPJ is located in the parietal lobe and is associated with morality, theory of mind, and spatial awareness. Additionally, the Wernicke's area is located in the TPJ. Studies have suggested that the region assists in language production, as well as language processing. The LPFC is commonly associated with planning and working memory functions. The Broca's area, the second major region associated with language processing, is also located in the LPFC. The ACC is associated with detecting errors, monitoring conflict, motor control, and emotion. Specifically, researchers have found that the ACC in humans is
disproportionately expanded when compared to the ACC in macaques.
Fossils show that although Homo sapiens' total brain
volume approached modern levels as early as 300,000 years ago, parietal
lobes and cerebella grew relative to total volume after this point,
reaching current levels of variation at some point between the
approximate dates of 100,000 and 35,000 years ago.
Studies on cortical expansions in the brain have been used to examine the evolutionary basis of neurological disorders, such as Alzheimer's disease. For example, researchers associate the expanded TPJ region with
Alzheimer's disease. However, other researchers found no correlation
between expanded cortical regions in the human brain and the development
of Alzheimer's disease.
Cellular, genetic, and circuitry changes
Human brain evolution involves cellular, genetic, and circuitry changes. On a genetic level, humans have a modified FOXP2 gene, which is associated with speech and language development. The human variant of the gene SRGAP2, SRGAP2C, enables greater dendritic spine density which fosters greater neural connections. On a cellular level, studies demonstrate von Economo neurons (VENs) are more prevalent in humans than other primates. Studies show that VENs are associated with empathy, social awareness and self-control. Studies show that the striatum plays a role in understanding reward and pair-bond formation. On a circuitry level, humans exhibit a more complex mirror neuron system,
greater connection between the two major language processing areas
(Wernicke's area and Broca's area), and a vocal control circuit that
connects the motor cortex and brain stem. The mirror neuron system is associated with social cognition, theory of mind, and empathy. Studies have demonstrated the presence of the mirror neuron system in
both macaques in humans; However, the mirror neuron system is only
activated in macaques when observing transitive movements.
Group selection
Group selection
theory contends that organism characteristics that provide benefits to a
group (clan, tribe, or larger population) can evolve despite individual
disadvantages such as those cited above. The group benefits of
intelligence (including language, the ability to communicate between
individuals, the ability to teach others, and other cooperative aspects)
have apparent utility in increasing the survival potential of a group.
In addition, the theory of group selection is inherently tied to
Darwin's theory of natural selection. Specifically, that "group-related
adaptations must be attributed to the natural selection of alternative
groups of individuals and that the natural selection of alternative
alleles within populations will be opposed to this development".
Between-group selection can be used to explain the changes and
adaptations that arise within a group of individuals. Group-related
adaptations and changes are a byproduct of between-group selection as
traits or characteristics that prove to be advantageous in relation to
another group will become increasingly popular and disseminated within a
group. In the end, increasing its overall chance of surviving a
competing group.
However, this explanation cannot be applied to humans (and other
species, predominantly other mammals) that live in stable, established
social groupings. This is because of the social intelligence that
functioning within these groups requires from the individual. Humans,
while they are not the only ones, possess the cognitive and mental
capacity to form systems of personal relationships and ties that extend
well beyond those of the nucleus of family. The continuous process of
creating, interacting, and adjusting to other individuals is a key
component of many species' ecology.
These concepts can be tied to the social brain hypothesis,
mentioned above. This hypothesis posits that human cognitive complexity
arose as a result of the higher level of social complexity required from
living in enlarged groups. These bigger groups entail a greater amount
of social relations and interactions thus leading to an expanded
quantity of intelligence in humans. However, this hypothesis has been under academic scrutiny in recent
years and has been largely disproven. In fact, the size of a species'
brain can be much better predicted by diet instead of measures of
sociality as noted by the study conducted by DeCasien et al. They found
that ecological factors (such as: folivory/frugivory, environment)
explain a primate brain size much better than social factors (such as:
group size, mating system).
Nutritional status
Early hominins dating back to pre 3.5 Ma in Africa ate primarily plant foods supplemented by insects and scavenged meat. Their diets are evidenced by their 'robust' dento-facial features of
small canines, large molars, and enlarged masticatory muscles that
allowed them to chew through tough plant fibers. Intelligence played a
role in the acquisition of food, through the use of tool technology such
as stone anvils and hammers.
There is no direct evidence of the role of nutrition in the evolution of intelligence dating back to Homo erectus,
contrary to dominant narratives in paleontology that link meat-eating
to the appearance of modern human features such as a larger brain.
However, scientists suggest that nutrition did play an important role,
such as the consumption of a diverse diet including plant foods and new
technologies for cooking and processing food such as fire.
Diets deficient in iron, zinc, protein, iodine, B vitamins, omega 3 fatty acids, magnesium and other nutrients can result in lower intelligence either in the mother during pregnancy or in the child during
development. While these inputs did not have an effect on the evolution
of intelligence they do govern its expression. A higher intelligence
could be a signal that an individual comes from and lives in a physical
and social environment where nutrition levels are high, whereas a lower
intelligence could imply a child, its mother, or both, come from a
physical and social environment where nutritional levels are low. Previc
emphasizes the contribution of nutritional factors to elevations of dopaminergic activity in the brain, which may have been responsible for the evolution of human intelligence since dopamine is crucial to working memory, cognitive shifting, abstract, distant concepts, and other hallmarks of advanced intelligence.