Beyond existence and aiming outside the laboratory: estimating frequency-dependent and pay-off-biased social learning strategies.
The existence of social learning has been confirmed in diverse taxa, from apes to guppies. In order to advance our understanding of the consequences of social transmission and evolution of behaviour, however, we require statistical tools that can distinguish among diverse social learning strategies. In this paper, we advance two main ideas. First, social learning is diverse, in the sense that individuals can take advantage of different kinds of information and combine them in different ways. Examining learning strategies for different information conditions illuminates the more detailed design of social learning. We construct and analyse an evolutionary model of diverse social learning heuristics, in order to generate predictions and illustrate the impact of design differences on an organism's fitness. Second, in order to eventually escape the laboratory and apply social learning models to natural behaviour, we require statistical methods that do not depend upon tight experimental control. Therefore, we examine strategic social learning in an experimental setting in which the social information itself is endogenous to the experimental group, as it is in natural settings. We develop statistical models for distinguishing among different strategic uses of social information. The experimental data strongly suggest that most participants employ a hierarchical strategy that uses both average observed pay-offs of options as well as frequency information, the same model predicted by our evolutionary analysis to dominate a wide range of conditions.
McElreath
Richard
R
Department of Anthropology, University of California Davis, Davis, CA 95616, USA. mcelreath@ucdavis.edu
Bell
Adrian V
AV
Efferson
Charles
C
Lubell
Mark
M
Richerson
Peter J
PJ
Waring
Timothy
T
D000328:Adult; D005075:Biological Evolution; D002140:California; D005717:Games, Experimental; D006801:Humans; D033181:Information Dissemination; D007858:Learning / Q000502:physiology*; D008962:Models, Theoretical; D012919:Social Behavior
Trends Ecol Evol. 2004 Feb;19(2):101-8
16701236
Learn Behav. 2004 Feb;32(1):36-52
15161139
Learn Behav. 2004 Feb;32(1):4-14
15161136
J Theor Biol. 2002 Apr 7;215(3):287-96
12054837
Curr Biol. 2007 Jun 19;17(12):1038-43
17555968
Nature. 1999 Jun 17;399(6737):682-5
10385119
Science. 1965 Jul 16;149(3681):269-74
14300526
Trends Ecol Evol. 2006 Oct;21(10):542-7
16806574
Evol Hum Behav. 2001 May;22(3):165-196
11384884
Monogr Popul Biol. 1981;16:1-388
7300842
Nature. 2005 Sep 29;437(7059):737-40
16113685
Anim Cogn. 2005 Jul;8(3):164-81
15549502
Anim Behav. 1997 Jun;53(6):1313-22
9236027