Design of social agents

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Social behavior, as compared to the egoistic behavior, is known to be more beneficial to groups of subjects and even to individual members of a group. For this reason, social norms naturally emerge as a product of evolution in human and animal populations. The benefit of the social behavior makes it also an interesting subject in the field of artificial agents. Social interactions implemented in computer agents can improve their personal and group performance. In this study we formulate design principles of social agents and use them to create social computer agents. To construct social agents we take two approaches. First, we construct a social computer agent based on our understanding of social behavior. Second, we use an evolutionary approach to create a social agent. The social agents are shown to outperform agents that do not utilize social behavior.
Original languageEnglish
Pages (from-to)92-97
Number of pages6
JournalNeurocomputing
Volume114
DOIs
Publication statusPublished - 2013

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Social Behavior
Interpersonal Relations
Population
Animals

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Gorbunov, R.D. ; Barakova, E.I. ; Rauterberg, G.W.M. / Design of social agents. In: Neurocomputing. 2013 ; Vol. 114. pp. 92-97.
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Design of social agents. / Gorbunov, R.D.; Barakova, E.I.; Rauterberg, G.W.M.

In: Neurocomputing, Vol. 114, 2013, p. 92-97.

Research output: Contribution to journalArticleAcademicpeer-review

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T1 - Design of social agents

AU - Gorbunov, R.D.

AU - Barakova, E.I.

AU - Rauterberg, G.W.M.

PY - 2013

Y1 - 2013

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U2 - 10.1016/j.neucom.2012.06.046

DO - 10.1016/j.neucom.2012.06.046

M3 - Article

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JO - Neurocomputing

JF - Neurocomputing

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