New composite evolutionary computation algorithm using interactions among genetic evolution, individual learning and social learning

2010 ◽  
Vol 14 (4) ◽  
pp. 497-514 ◽  
Author(s):  
Takashi Hashimoto ◽  
Katsuhide Warashina ◽  
Hajime Yamauchi
Keyword(s):  
Social Learning ◽  
Evolutionary Computation ◽  
Individual Learning ◽  
Genetic Evolution ◽  
Computation Algorithm

scholarly journals Processing of novel food reveals payoff and rank-biased social learning in a wild primate

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Charlotte Canteloup ◽  
Mabia B. Cera ◽  
Brendan J. Barrett ◽  
Erica van de Waal
Keyword(s):  
Social Learning ◽  
Learning Strategies ◽  
Individual Learning ◽  
Diffusion Experiment ◽  
Vervet Monkeys ◽  
Dynamic Learning ◽  
Novel Food ◽  
Bias Attention ◽  
Higher Rank ◽  
Learning From Others

AbstractSocial learning—learning from others—is the basis for behavioural traditions. Different social learning strategies (SLS), where individuals biasedly learn behaviours based on their content or who demonstrates them, may increase an individual’s fitness and generate behavioural traditions. While SLS have been mostly studied in isolation, their interaction and the interplay between individual and social learning is less understood. We performed a field-based open diffusion experiment in a wild primate. We provided two groups of vervet monkeys with a novel food, unshelled peanuts, and documented how three different peanut opening techniques spread within the groups. We analysed data using hierarchical Bayesian dynamic learning models that explore the integration of multiple SLS with individual learning. We (1) report evidence of social learning compared to strictly individual learning, (2) show that vervets preferentially socially learn the technique that yields the highest observed payoff and (3) also bias attention toward individuals of higher rank. This shows that behavioural preferences can arise when individuals integrate social information about the efficiency of a behaviour alongside cues related to the rank of a demonstrator. When these preferences converge to the same behaviour in a group, they may result in stable behavioural traditions.

scholarly journals Pay-off-biased social learning underlies the diffusion of novel extractive foraging traditions in a wild primate

2017 ◽  
Vol 284 (1856) ◽  
pp. 20170358 ◽  
Author(s):  
Brendan J. Barrett ◽  
Richard L. McElreath ◽  
Susan E. Perry
Keyword(s):  
Social Learning ◽  
Learning Strategies ◽  
Individual Learning ◽  
Adaptive Behaviour ◽  
Cultural Dynamics ◽  
New Techniques ◽  
Individual Level ◽  
Important Variation ◽  
In The Wild ◽  
Innovation And Diffusion

The type and variety of learning strategies used by individuals to acquire behaviours in the wild are poorly understood, despite the presence of behavioural traditions in diverse taxa. Social learning strategies such as conformity can be broadly adaptive, but may also retard the spread of adaptive innovations. Strategies like pay-off-biased learning, by contrast, are effective at diffusing new behaviour but may perform poorly when adaptive behaviour is common. We present a field experiment in a wild primate, Cebus capucinus , that introduced a novel food item and documented the innovation and diffusion of successful extraction techniques. We develop a multilevel, Bayesian statistical analysis that allows us to quantify individual-level evidence for different social and individual learning strategies. We find that pay-off-biased and age-biased social learning are primarily responsible for the diffusion of new techniques. We find no evidence of conformity; instead rare techniques receive slightly increased attention. We also find substantial and important variation in individual learning strategies that is patterned by age, with younger individuals being more influenced by both social information and their own individual experience. The aggregate cultural dynamics in turn depend upon the variation in learning strategies and the age structure of the wild population.

Strong conformity requires a greater proportion of asocial learning and achieves lower fitness than a payoff-based equivalent

2018 ◽  
Vol 26 (6) ◽  
pp. 323-333
Author(s):  
Matt Grove
Keyword(s):  
Social Learning ◽  
Theoretical Analysis ◽  
Environmental Change ◽  
Learning Strategies ◽  
Learning Strategy ◽  
Individual Learning ◽  
Heterogeneous Environments ◽  
The One ◽  
Social Learning Strategies

There is a growing interest in the relative benefits of the different social learning strategies used to transmit information between conspecifics and in the extent to which they require input from asocial learning. Two strategies in particular, conformist and payoff-based social learning, have been subject to considerable theoretical analysis, yet previous models have tended to examine their efficacy in relation to specific parameters or circumstances. This study employs individual-based simulations to derive the optimal proportion of individual learning that coexists with conformist and payoff-based strategies in populations experiencing wide-ranging variation in levels of environmental change, reproductive turnover, learning error and individual learning costs. Results demonstrate that conformity coexists with a greater proportion of asocial learning under all parameter combinations, and that payoff-based social learning is more adaptive in 97.43% of such combinations. These results are discussed in relation to the conjecture that the most successful social learning strategy will be the one that can persist with the lowest frequency of asocial learning, and the possibility that punishment of non-conformists may be required for conformity to confer adaptive benefits over payoff-based strategies in temporally heterogeneous environments.

scholarly journals PAYOFF-BIASED SOCIAL LEARNING UNDERLIES THE DIFFUSION OF NOVEL EXTRACTIVE FORAGING TRADITIONS IN A WILD PRIMATE

2017 ◽  
Author(s):  
Brendan J Barrett ◽  
Richard L McElreath ◽  
Susan E Perry
Keyword(s):  
Social Learning ◽  
Learning Strategies ◽  
Individual Learning ◽  
Adaptive Behaviour ◽  
Cultural Dynamics ◽  
New Techniques ◽  
Individual Level ◽  
Important Variation ◽  
In The Wild ◽  
Innovation And Diffusion

AbstractThe type and variety of learning strategies used by individuals to acquire behaviours in the wild are poorly understood, despite the presence of behavioural traditions in diverse taxa. Social learning strategies such as conformity can be broadly adaptive, but may also retard the spread of adaptive innovations. Strategies like payoff-biased learning, in contrast, are effective at diffusing new behaviour but may perform poorly when adaptive behaviour is common. We present a field experiment in a wild primate,Cebus capucinus, that introduced a novel food item and documented the innovation and diffusion of successful extraction techniques. We develop a multilevel, Bayesian statistical analysis that allows us to quantify individual-level evidence for different social and individual learning strategies. We find that payoff-biased social learning and age-biased social learning are primarily responsible for the diffusion of new techniques. We find no evidence of conformity; instead rare techniques receive slightly increased attention. We also find substantial and important variation in individual learning strategies that is patterned by age, with younger individuals being more influenced by both social information and their own individual experience. The aggregate cultural dynamics in turn depend upon the variation in learning strategies and the age structure of the wild population.

scholarly journals The evolution of high-fidelity social learning

2020 ◽  
Vol 287 (1928) ◽  
pp. 20200090
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Bayesian Model ◽  
Individual Learning ◽  
High Fidelity ◽  
Human Culture ◽  
Cumulative Cultural Evolution ◽  
Over Time

A defining feature of human culture is that knowledge and technology continually improve over time. Such cumulative cultural evolution (CCE) probably depends far more heavily on how reliably information is preserved than on how efficiently it is refined. Therefore, one possible reason that CCE appears diminished or absent in other species is that it requires accurate but specialized forms of social learning at which humans are uniquely adept. Here, we develop a Bayesian model to contrast the evolution of high-fidelity social learning, which supports CCE, against low-fidelity social learning, which does not. We find that high-fidelity transmission evolves when (1) social and (2) individual learning are inexpensive, (3) traits are complex, (4) individual learning is abundant, (5) adaptive problems are difficult and (6) behaviour is flexible. Low-fidelity transmission differs in many respects. It not only evolves when (2) individual learning is costly and (4) infrequent but also proves more robust when (3) traits are simple and (5) adaptive problems are easy. If conditions favouring the evolution of high-fidelity transmission are stricter (3 and 5) or harder to meet (2 and 4), this could explain why social learning is common, but CCE is rare.

scholarly journals A Comparison of Individual Learning and Social Learning in Zebrafish Through an Ethorobotics Approach

2019 ◽  
Vol 6 ◽  
Author(s):  
Yanpeng Yang ◽  
Romain J. G. Clément ◽  
Stefano Ghirlanda ◽  
Maurizio Porfiri
Keyword(s):  
Social Learning ◽  
Individual Learning

Marine versus terrestrial variability in relation to social learning

2001 ◽  
Vol 24 (2) ◽  
pp. 357-357
Author(s):  
Rebecca Thomas
Keyword(s):  
Social Learning ◽  
Time Scales ◽  
Marine Environment ◽  
Environmental Variability ◽  
Terrestrial Ecosystems ◽  
Marine Ecosystems ◽  
Individual Learning ◽  
Over Time

Rendell and Whitehead state that marine ecosystems are more variable than terrestrial ecosystems over time scales of months or longer. The marine environment is actually less variable than the terrestrial at these shorter time scales, and probably equally variable over centuries. This issue is important when considering claims that environmental variability affects benefits of social learning versus individual learning and genetics.

scholarly journals Social learning spreads knowledge about dangerous humans among American crows

2011 ◽  
Vol 279 (1728) ◽  
pp. 499-508 ◽  
Author(s):  
Heather N. Cornell ◽  
John M. Marzluff ◽  
Shannon Pecoraro
Keyword(s):  
Social Learning ◽  
Individual Learning ◽  
Accurate Information ◽  
Facial Features ◽  
Sources Of Information ◽  
Corvus Brachyrhynchos ◽  
Trade Offs ◽  
American Crows ◽  
Place Of Origin ◽  
Study Sites

Individuals face evolutionary trade-offs between the acquisition of costly but accurate information gained firsthand and the use of inexpensive but possibly less reliable social information. American crows ( Corvus brachyrhynchos ) use both sources of information to learn the facial features of a dangerous person. We exposed wild crows to a novel ‘dangerous face’ by wearing a unique mask as we trapped, banded and released 7–15 birds at five study sites near Seattle, WA, USA. An immediate scolding response to the dangerous mask after trapping by previously captured crows demonstrates individual learning, while an immediate response by crows that were not captured probably represents conditioning to the trapping scene by the mob of birds that assembled during the capture. Later recognition of dangerous masks by lone crows that were never captured is consistent with horizontal social learning. Independent scolding by young crows, whose parents had conditioned them to scold the dangerous mask, demonstrates vertical social learning. Crows that directly experienced trapping later discriminated among dangerous and neutral masks more precisely than did crows that learned through social means. Learning enabled scolding to double in frequency and spread at least 1.2 km from the place of origin over a 5 year period at one site.

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