Chapter 3

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Social intelligence

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Social intelligence

Sets us apart at the level of individual minds and brains

  • Some have argued that the main evolutionary pressure for human intellectual development is to understand and predict complex social interactions + outwitting peers → lead to more general changes in other non-social domains (toddlers excelled on this domain but not the physical one)

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Culture

Sets us apart in terms of group behavior

  • Shared sets of values, skills, artifacts, beliefs, and technology amongst a group of people → inherent social dimension as culture is shared amongst group members via social learning

  • The differences between cultures are largely attributable to environment.

  • The similarities between cultures to biology and evolution → brains developed in such a way that we can create and absorb shared knowledge, skills, and beliefs

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Social learning

Transmission of skills and knowledge from person to person, within and across generations

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The social intelligence hypothesis (Machiavellian)

Evolutionary pressures to be socially smarter led to general changes (brain size) resulting in increased intellect in non-social domains.

  • Intelligence manifested in social life (include problem solving).

  • Complex society selects for enhanced intelligence (specific characteristics) due to the need for this

    • Regarded as a more general capacity than a specialized set of functions dealing with social life

    • Don’t only select for the amount of intelligence but also for the type

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Social intelligence and brain size in primates problems

  • Different ways of defining SI

  • Not easy to measure SI in natural settings

  • Approach assumes brain size to be useful index of general intellect

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Dunbar

Strong correlation between SI and brain size

  • Social group size as an approximate measure of social complexity → significant correlation with neocortex ratio (larger brain = greater no. sustainable relations)

  • Claimed that our brains can only support active relationships with 150 others

    • Populations above this number can be maintained by creating special roles enforcing social cohesion (police)

  • Cooperation between 2 people can be maintained:

    • Within small groups.

    • Based on first-hand experience of each other’s behavior (cheating tendencies)

    • Direct and 3rd party retaliation (attacking those who attack friends)

    • Alliance formation

  • Large-scale groups exist due to development of cultural rules of cooperation which people collectively agree on (legal, moral, religious norms) in addition to those based on direct experience → facilitate interactions between strangers

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Reader and Laland

Suggest a co-evolution of an aspect of SI (social learning) and non-social intelligence (innovation)

  • Don’t support view that social factors were more important in leading to increased intellect/brain size (both crucial)

    • Social learning is required → innovate ideas have limited impact on cultural development if they die out with creator

    • Innovation is required → being able to learn from each other is only important if it’s worth learning

  • Tool use can be considered a product of both these processes

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Deception

Complex social skill involving appreciation of another’s knowledge and the ability to manipulate it

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Length of immaturity

Important factor going hand-in-hand with evolutionary increases in brain size

  • Provides extended window for learning and adapting to environment and culture

    • If intelligence is related (in part) to our ability to learn from e/o, then it is equally a product of:

      • Nature (genetic disposition to learn)

      • Nurture (accumulating knowledge of world)

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Convergent evolution

Same evolutionary selection pressures create same outcome independently in different species

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Divergent evolution

Association can be traced back to a common ancestor possessing both characteristics

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Problems in considering non-primate species

Translating markers of SI across different species

  • Dolphins (don’t form stabel social groups over time) and elephants have larger brains and display social intelligence

    • However, animals with smaller brain sizes also display SI (hyena, bat)

In sum, evidence from non-primates is not necessarily inconsistent with SI hypothesis but throws spotlight on potential mechanisms (selection pressures and evolved cognitive processes)

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Schaik, Isler, Burkart

Larger brains come at the cost of energy expense and requires other adaptations in the organism to support this type of evolution

  • However, other factors may pose limitations → high energy costs of flying in bats may limit brain growth, as well as seasonal variations in food supply

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Clayton

Pattern observed in primates doesn’t necessarily hold elsewhere

  • However, bigger brains linked to cooperative mating systems and longer-term monogamy → maintaining these relations requires SI resembling those seen in primate alliances

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Fraser

Primates and corvids have not shared a common ancestor in ages, so the similarities in SI are taken as evidence for convergent evolution

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Language evolution and SI hypothesis

Debate whether language arose from non-specific evolutionary changes or not → general selection pressures to be smarter (socially and/or cognitively), leading to general changes from which language emerged

  • Dunbar: evolved due to social pressures living in large groups → enabling social cohesion

  • Chomsky: arose from selection pressures relating specifically to communicative needs (so not a by-product of general changes)

Recently → language should not be considered as a single entity but is multi-faceted (production of speech, syntax, semantics, etc)

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Larynx

Involved in sound production; descend in humans (cannot breathe and swallow at same time but crucial for human speech)

  • Disagreement whether descend happened due to need for increased repertoire of speech or because of another reason not related to communication

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Syntax

Rules by which words are combined to make meaningful sentences

  • Hierarchical nature of syntactic representation may be driven by need to mentally represent complex social groups and hierarchies

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Evaluation CH3

Good evidence for SI hypo → evolutionary increases in relative brain size accompanied by increased complexity in social domain (group size, deception, social learning)

  • Unclear is the extent to which specific processes (language or TOM) arose out of these more general changes / were specifically shaped during course of evolution

  • Future research should identify genes linked to brain growth during evolution

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Evolutionary origins of culture

Human societies have different systems of culture, wherein some have developed far more advanced forms of technology than others

  • Blackmore: survival of the fittest of cultural trends

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Meme

Units of culture transmitted from person to person according to their own perceived fitness (benefits they convey or are believed to)

  • Certain skills or ideas may be more valued by particular members → more likely to be passed on until replaced with summ else

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Culture pyramid (in non-human species)

  • Social info transfer: used temporarily and then discarded (keeping tabs on where other animals hide food) → mammals, birds, fish, invertebrates

  • Traditions: distinctive pattern of behavior shared in group → birds would have traditions but not culture (lacking evidence)

  • Culture: collection of traditions → apes and monkeys

    • Perry: capuchin monkeys showed multiple social traditions with unique distributions across capuchin communities → games are culturally learned rather than being part of innate behavioral repertoire

    • Witehead: multiple traditions constituting a culture amongst species of dolphins and wales

  • Cumulative cultures: traditions are generally enhanced or modified over time (Roman to Arabic no)

    • Evidence in non-human species is controversial

      • Must involve multiple transmission episodes, through social learning, and should increase complexity or efficiency

    • Several possible mechanisms that could enable this culture

      • Degree of innovation in species, different social learning mechanisms (language, imitation), desire to cooperate and be prosocial

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Imitation

Social learning based on understanding of goals, intentions, and mental states of other individuals

  • Some believe only humans to be capable of this

    • Not straightforward and challenging to find ways to observe the unobservable via behavior (mental states)

  • Involves understanding and reproduction of actions of others (sophisticated form of social learning)

    • Reproducing goals of someone else is likely to entail understanding of their intentions → sociocognitive mechanisms and sensorimotor mechanisms are implicated

Humans don’t need to be trained to imitate, but evidence suggests that arbitrary acts can be imitated by non-human apes with considerable training

  • If human and ape imitation are cognitively equivalent (assumed), why is human imitation (and culture) more prolific?

    • Humans more creative and innovative → more things worth imitating

    • Different rewards to imitation

      • Apes → material

      • Humans → reward in itself serves to bind human social groups

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Non-imitative learning

Could arise from a number of mechanisms

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Mimicking

Copying the action without understanding the goal of the action

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Stimulus enhancement

Having another individual draw attention to an object → increased likelihood observer engagement with object

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Local enhancement

Another individual drawing attention to location increasing likelihood observer engagement with location

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Contagion

Repetition of behaviors that are innate rather than learned (yawning)

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Intentional stance

Tendency to explain or predict the behavior of others using intentional states (wanting, liking)

  • Infants show goal-based imitation (button pressing study)

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Problem linking imitation with mental states

Imitation emerges in humans during the 1st year of life, while accurate performance on most tests of reasoning about mental states emerge between 3-4 years

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Evaluation 2

Natural selection through variations in the gene pool, enables species to adapt slowly to their environments

  • Humans and other species also able to adapt much faster due to social learning (mechanism)

    • When coupled with innovation and other cognitive skills → enables complex systems of culture which can be modified over time

      • Cultural traditions expand our cognitive and physical capabilities and provide a means for establishing group and individual identities

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Neuronal recycling

Neural circuits for writing and calculation appear to be quite conserved across individuals and cultures

  • Neural resources may be recruited by cultural knowledge

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Visual word form area (VWFA)

Brain region in the ventral visual stream responding to visual representation of letter strings → may have evolved for certain types of object recognition

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Intraparietal sulcus

Region in the parietal lobes responding during arithmetic tasks and when viewing different types of numerical symbols within and across cultures

  • Maybe represents core semantic representation of numbers

  • May also exist in other species

    • However, humans can augment this basic ability via additional use of numerical symbols extending their numerical abilities

      • Cognition itself is transformed by the availability of certain culturally learned symbols

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Extended cognition

Use of external technologies to increase cognitive capacities

  • Systems of writing and number representation can be considered social in a narrow sense → invented and passed on by collective action of many minds

    • However, they had more direct influences on the nature of social interactions.

      • Money = means of social exchange and as a way of displaying/achieving higher social standing via consumption or benevolence.

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Tools

Objects, normally hand-held, used to manipulate secondary objects

  • Brains adapted to create tools and transmit this info socially

    • Some have argued that cultural use of symbols and tools enables new kinds of thought

      • Clark: natural born cyborgs soaking up and creating complex technologies

        • Technology and ideas behind them are themselves passed and modified over time (NOT in the genes but by social and cultural transmission) → our minds and brains are transformed as a consequence

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Receptive field

Region of space eliciting neuronal response

  • Certain neurons in brain that respond both when a particular body part is touched and when a visual stimulus is moved near the same body part

    • Frontal and parietal regions (multi-sensory)

      • Iriki: visual receptive fields of these neurons changed as result of monkey using a tool → no longer centered on arm but elongated down length of tool (not when passively held tho)

In humans there is evidence that multi-sensory processing of space is extended by tool use

  • Non-blind people show temporary brain adaptions when trained with cane

  • Blind people show permanent adaptations

    • Flashes of light near hand and at end of tool → facilitate detection of tactile stimulus on the hand after tool use

    • Prior to tool use, only flash of light on or near the hand did this

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Mirror neurons (intention detectors)

Response properties disregard distinction between self and other → crucial basis for imitation

  • Respond to actions which are often precise and goal-directed

    • Don’t respond to mimicked action in the absence of an object or if it moves robotically without external agent → purposeful nature of action instead of visual/motoric elements

  • Respond if an appropriate action is implied as well as directly observed

    • The PM (F5) area contains abstract representations of action intentions used for both planning one’s own actions and interpreting those of others

      • Umilta: neurons responding to grasping

        • Action is different but the goal is the same, and the neural response is determined by the goal

          • Enable understanding of at least 1 mental state (intentions)

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Mirror neurons in the parietal lobes

Tend to be more sensitive to the wider context in which an action is situated

  • Grasping action (subsequent goal eat or putting away)

  • The primary motor cortex itself contains neurons with motor and visual properties but they respond to the other mechanics of particular movements rather than abstract features (goals)

  • STS also responds to specific movements of body parts, but have a purely visual component which may act as input to the mirror neuron system

  • Medial temporal regions

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Evidence mirror neurons in humans

Human analogue of F5 is believed to be in Broca’s area (B44) extending into the premotor area

  • Activated when observing hand movements (esp when imitation is required)

  • Action observation biases in the primary motor area itself

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Controversy mirror neurons

Regarding their functionality

  • Some argue they arise via associative learning

    • When we move our bodies, we see visual consequences of our actions and learn to associate action observation and execution together

      • Mirror neurons aren’t necessarily genetically pre-programmed for imitation or any other function

    • Others argue that mirror neurons function to predict what the consequences of actions are (how the limbs will move through space to achieve a goal) but that other regions represent the intended goals

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Potential flaw mirror neurons

Assumed to be present in monkeys, chimps, and humans

  • The imitation-like behavior some monkeys can perform could perhaps reflect contagion (or innate motor programs) rather than imitation based on goals

    • Chimps are capable of more complex forms of imitation, but perhaps it doesn’t serve the same social functions as in humans

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What is missing between species?

MN maybe necessary precursor to imitative tool use but aren’t sufficient

  • Macaque monkeys can use tools in the lab but only after extensive training which involves systems of reward and gradual modification of behavior

    • When tool use has been achieved, their performance is swift, effortless, and shows some degree of flexibility

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The differences in the brains of macaque monkeys with acquired tool use vs. those without

Lies in the way 2 particular regions are connected

  • Proficient tool-using monkeys have extra connections between the intraparietal sulcus and the temporo-parietal junction

    • The intraparietal region contains neurons whose visual receptive fields are extended via tool use and also mirror neurons

      • Changes in gene expression in this region accompany learning of tool use and presumably trigger the connectivity changes

        • The human brain may have evolved stable connections between these 2 regions that are normally absent in many other primates

          • This may enable humans to link neural mechanisms related to tool use (multi-sensory visuo-tactile neurons) with mechanisms related to social cognition (perspective taking, TOM)

    • The temporo-parietal junction has been implicated when contrasting physical perspectives between self and other

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