Beyond existence and aiming outside the laboratory: Estimating frequency-dependent and payoﬀ-biased social learning strategies
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
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 behavior, 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 analyze 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 behavior, we require statistical methods that do not depend upon tight experimental control. Therefore we examine strategic social learning in an experimental setting..
|Keywords||No keywords specified (fix it)|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Hal Whitehead, The Evolution of Conformist Social Learning Can Cause Population Collapse in Realistically Variable Environments.
Kenneth Reisman (2007). Is Culture Inherited Through Social Learning? Biological Theory 2 (3):300-306.
Tecle Ghebremuse, Bilingual Second Language Learning Strategies in Eritrea with Reference to Reading, Writing and Vocabulary.
Hjalmar K. Turesson & Asif A. Ghazanfar (2011). Statistical Learning of Social Signals and its Implications for the Social Brain Hypothesis. Interaction Studies 12 (3):397-417.
Dorothy M. Fragaszy (2000). Extending the Model: Pavlovian Social Learning. Behavioral and Brain Sciences 23 (2):255-256.
Gregorio Rivera (2003). An Evolutionary Learning Community Network: How Evolutionary Artscience Emerges Through Evolutionary Systems Design. World Futures 59 (8):577 – 584.
Jiajie Zhang Todd R. Johnson Hongbin Wang (1998). The Relation Between Order Effects and Frequency Learning in Tactical Decision Making. Thinking and Reasoning 4 (2):123 – 145.
Roswitha Hofmann & Doris Allhutter (2010). Situated (Un-)Learning in Software Design: A Deconstructive Approach. Poiesis and Praxis 7 (1-2):87-98.
Etienne Wenger (2009). A Social Theory of Learning. In Knud Illeris (ed.), Contemporary Theories of Learning: Learning Theorists -- In Their Own Words. Routledge
Kathy Hirsh-Pasek, Elizabeth Hennon, Roberta M. Golinkoff, Khara Pence, Rachel Pulverman, Jenny Sootsman, Shannon Pruden & Mandy Maguire (2001). Social Attention Need Not Equal Social Intention: From Attention to Intention in Early Word Learning. Behavioral and Brain Sciences 24 (6):1108-1109.
Kevin Kelly (2004). Learning Theory and Epistemology. In Ilkka Niiniluoto, Matti Sintonen & Jan Wolenski (eds.), Handbook of Epistemology. Dordrecht: Kluwer Academic Pub 183--203.
Katherine Yoshida, Mijke Rhemtulla & Athena Vouloumanos (2012). Exclusion Constraints Facilitate Statistical Word Learning. Cognitive Science 36 (5):933-947.
Added to index2010-12-22
Total downloads20 ( #187,884 of 1,907,383 )
Recent downloads (6 months)9 ( #78,294 of 1,907,383 )
How can I increase my downloads?