WEKO3
アイテム
Emergence of cooperation and patterns of move-play in Demographic Donor-Recipient Game
http://hdl.handle.net/10252/4956
http://hdl.handle.net/10252/49567a6ffd5f-9e0c-49eb-ada1-fbc8785a20c6
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
EmergenceOfCooperationAndPatternsOfMove-playInDemographicDonor-RecipientGame201209ForBarrel.pdf (784.0 kB)
|
|
| Item type | 会議発表論文 / Conference Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2012-10-02 | |||||
| タイトル | ||||||
| タイトル | Emergence of cooperation and patterns of move-play in Demographic Donor-Recipient Game | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | demographic game | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Donor-Recipient game | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | emergence of cooperation | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | generalized reciprocity | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Agent-Based Simulation | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
| 資源タイプ | conference paper | |||||
| 著者 |
Namekata, Tsuneyuki
× Namekata, Tsuneyuki× Namekata, Yoko |
|||||
| bibliographic_information |
en : Proceedings of the 15th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty p. 1-8, 発行日 2012 |
|||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| 日本十進分類法 | ||||||
| 言語 | ja | |||||
| 主題Scheme | NDC | |||||
| 主題 | 417 | |||||
| NIIサブジェクト | ||||||
| 言語 | ja | |||||
| 主題Scheme | Other | |||||
| 主題 | 数学 | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | We examine distribution of strategies in demographic Donor-Recipient game where patterns of move-play are restricted to simple structure. Players are initially randomly distributed in square lattice of cells. In each period, players move locally to random cell in neighbors or globally to random unoccupied cell in the whole lattice, and play multiple games against local neighbors or against randomly selected global players. We restrict patters of move (play) to local or global; local (global) means with high probability the player moves (plays) locally (globally). If wealth (accumulated payoff) of player becomes negative or his age becomes greater than his lifetime, he dies. If his wealth becomes greater than some amount and there is unoccupied cell in neighbors, he has an offspring. Players consist of TFT-like strategies; TFT uses Defect if the state is 0, Cooperate if it is 1 and the smallest state number that prescribes Cooperate is regarded as threshold. We allow up to three states and assume players may change their threshold at most once depending on their experience. We show, by Agent-Based Simulation, for example, Cooperative strategies evolutionarily tend to move and play locally, Defective do not, and AllC and AllD are abundant unless all strategies initially play locally. | |||||
| 言語 | en | |||||
| item_3_description_20 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 15th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty | |||||
| 言語 | en | |||||
| item_3_description_21 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | Osaka, Japan | |||||
| 言語 | en | |||||
| item_3_description_22 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | September 24-27, 2012 | |||||
| 言語 | en | |||||
