The evolution of social learning rules: Payoff-biased and frequency-dependent biased transmission

Autor: Kevin N. Laland, Luc-Alain Giraldeau, Jeremy Kendal
Přispěvatelé: Department of Anthropology [Durham University], Durham University, Département des Sciences Biologiques [Montréal], Université du Québec à Montréal = University of Québec in Montréal (UQAM), University of St Andrews [Scotland]
Rok vydání: 2009
Předmět:
0106 biological sciences
Statistics and Probability
Value (ethics)
media_common.quotation_subject
Culture
Population
Cultural evolution
Social learning strategy
Models
Psychological

Biology
010603 evolutionary biology
01 natural sciences
Conformity
General Biochemistry
Genetics and Molecular Biology

03 medical and health sciences
Social Conformity
Animals
Learning
Social Behavior
education
Sociocultural evolution
Selection (genetic algorithm)
030304 developmental biology
media_common
0303 health sciences
education.field_of_study
Natural selection
Models
Genetic

General Immunology and Microbiology
Social learning
Ecology
Applied Mathematics
Stochastic game
General Medicine
Gene-culture coevolution
Biological Evolution
Modeling and Simulation
General Agricultural and Biological Sciences
Cognitive psychology
Zdroj: Journal of Theoretical Biology
Journal of Theoretical Biology, Elsevier, 2009, 260 (2), pp.210. ⟨10.1016/j.jtbi.2009.05.029⟩
ISSN: 0022-5193
1095-8541
DOI: 10.1016/j.jtbi.2009.05.029
Popis: International audience; Humans and other animals do not use social learning indiscriminately, rather, natural selection has favoured the evolution of social learning rules that make selective use of social learning to acquire relevant information in a changing environment. We present a gene-culture coevolutionary analysis of a small selection of such rules (unbiased social learning, payoff-biased social learning and frequency-dependent biased social learning, including conformism and anti-conformism) in a population of asocial learners where the environment is subject to a constant probability of change to a novel state. We define conditions under which each rule evolves to a genetically-polymorphic equilibrium. We find that payoff-biased social learning may evolve under high levels of environmental variation if the fitness benefit associated with the acquired behaviour is either high or low but not of intermediate value. In contrast, both conformist and anti-conformist biases can become fixed when environment variation is low, whereupon the mean fitness in the population is higher than for a population of asocial learners. Our examination of the population dynamics reveals stable limit cycles under conformist and anti-conformist biases and some highly complex dynamics including chaos. Anti-conformists can out-compete conformists when conditions favour a low equilibrum frequency of the learned behaviour. We conclude that evolution, punctuated by the repeated successful invasion of different social learning rules, should continuously favour a reduction in the equilibrium frequency of asocial learning, and propose that, among competing social learning rules, the dominant rule will be the one that can persist with the lowest frequency of asocial learning.
Databáze: OpenAIRE