Simulated trust : a cheap social learning strategy

D. Vanderelst, R.M.C. Ahn, E.I. Barakova

    Research output: Contribution to journalArticleAcademicpeer-review

    12 Citations (Scopus)

    Abstract

    Animals use heuristic strategies to determine from which conspecifics to learn socially. This leads to directed social learning. Directed social learning protects them from copying non-adaptive information. So far, the strategies of animals, leading to directed social learning, are assumed to rely on (possibly indirect) inferences about the demonstrator's success. As an alternative to this assumption, we propose a strategy that only uses self-established estimates of the pay-offs of behavior. We evaluate the strategy in a number of agent-based simulations. Critically, the strategy's success is warranted by the inclusion of an incremental learning mechanism. Our findings point out new theoretical opportunities to regulate social learning for animals. More broadly, our simulations emphasize the need to include a realistic learning mechanism in game-theoretic studies of social learning strategies, and call for re-evaluation of previous findings.
    Original languageEnglish
    Pages (from-to)189-196
    JournalTheoretical Population Biology
    Volume76
    Issue number3
    DOIs
    Publication statusPublished - 2009

    Fingerprint Dive into the research topics of 'Simulated trust : a cheap social learning strategy'. Together they form a unique fingerprint.

    Cite this