Intention recognition promotes the emergence of cooperation: A Bayesian network model

The Anh Han

doi:10.1007/978-3-642-37512-5_5

Intention recognition promotes the emergence of cooperation: A Bayesian network model

The Anh Han

Research output: Contribution to journal › Article › peer-review

Abstract

Introduction We model intention recognition within the framework of repeated interactions. In the context of direct reciprocity (Trivers, 1971; Nowak, 2006a; Sigmund, 2010) intention recognition is performed using the information about past direct interactions. We study this issue using the Iterated Prisoner’s Dilemma (IPD), i.e., intentions are inferred from past individual experiences.

Original language	English
Pages (from-to)	83-94
Number of pages	12
Journal	Studies in Applied Philosophy, Epistemology and Rational Ethics
Volume	9
DOIs	https://doi.org/10.1007/978-3-642-37512-5_5
Publication status	Published - 1 Jan 2013

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title = "Intention recognition promotes the emergence of cooperation: A Bayesian network model",

abstract = "Introduction We model intention recognition within the framework of repeated interactions. In the context of direct reciprocity (Trivers, 1971; Nowak, 2006a; Sigmund, 2010) intention recognition is performed using the information about past direct interactions. We study this issue using the Iterated Prisoner{\textquoteright}s Dilemma (IPD), i.e., intentions are inferred from past individual experiences.",

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JO - Studies in Applied Philosophy, Epistemology and Rational Ethics

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Intention recognition promotes the emergence of cooperation: A Bayesian network model

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