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  Does information of how good or bad your neighbors are enhance cooperation in spatial Prisoner's games?

Tanimoto, J. (2017). Does information of how good or bad your neighbors are enhance cooperation in spatial Prisoner's games? Chaos, Solitons and Fractals, 103(Supplement C), 184-193. doi:https://doi.org/10.1016/j.chaos.2017.05.038.

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資料種別: 学術論文

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 作成者:
Tanimoto, Jun1, 著者           
所属:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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キーワード: Network reciprocity; Prisoner's dilemma; Evolutionary game
 要旨: Network reciprocity is one of the key mechanisms to solve social dilemmas, and has attracted many researchers for the last decade. Here, we explore what happens if network reciprocity is dovetailed with indirect reciprocity. This is motivated by the idea that a player may utilize observed information to evaluate his neighbors. Simulations based on our minimal model reveal that adding indirect reciprocity does not always increase the level of cooperation beyond the level of model without indirect reciprocity. This implies that the combination of two different reciprocity mechanisms, each enhancing cooperation if applied independently, can lead negative interference effect on cooperation. The details of this depend on type of action assessment system determining what is good and bad. Interestingly, we found that a high level of information is not always superior to low levels of information.

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言語: eng - English
 日付: 2017-05-282017-05-012017-05-282017-06-142017
 出版の状態: 出版
 ページ: -
 出版情報: -
 目次: -
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出版物 1

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出版物名: Chaos, Solitons and Fractals
種別: 学術雑誌
 著者・編者:
所属:
出版社, 出版地: Oxford : Pergamon
ページ: - 巻号: 103 (Supplement C) 通巻号: - 開始・終了ページ: 184 - 193 識別子(ISBN, ISSN, DOIなど): ISSN: 0960-0779
CoNE: https://pure.mpg.de/cone/journals/resource/954925578086