Game theory is fundamental to understanding cooperation between agents. The Pris-oner's Dilemma is a well-known model extensively studied in complex networks. However, previous works ignore players' memory, and the decisions about the strategies are based only on the latest games. At the same time, in real-world games, players generally consider the current situation and previous experiences when deciding their strategy. In this paper, we study how memory influences cooperation in correlated networks. We consider the evolutionary Prisoner's Dilemma game on random and scale -free networks presenting degree-degree correlation. Through extensive simulations, we show that assortativity can improve cooperation when the temptation to defect increases. Moreover, our results suggest that including memory decreases the network structure's influence on cooperation. Our study contributes to understanding the role of the network topology and the player's memory on cooperation.(c) 2022 Elsevier B.V. All rights reserved.
机构:
Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
Shandong Prov Key Lab Novel Distributed Comp Soft, Jinan 250014, Peoples R ChinaShandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
Luo, Chao
Zhang, Xiaolin
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Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
Shandong Prov Key Lab Novel Distributed Comp Soft, Jinan 250014, Peoples R ChinaShandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
Zhang, Xiaolin
Liu, Hong
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机构:
Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
Shandong Prov Key Lab Novel Distributed Comp Soft, Jinan 250014, Peoples R ChinaShandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
Liu, Hong
Shao, Rui
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Shandong Mobile Commun, Ctr Network Optimizat, Jinan 250024, Peoples R ChinaShandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
机构:
E China Normal Univ, Shanghai Key Lab Multidimens Informat Proc, Shanghai 200062, Peoples R ChinaE China Normal Univ, Shanghai Key Lab Multidimens Informat Proc, Shanghai 200062, Peoples R China
Du Sha
Han Dingding
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E China Normal Univ, Shanghai Key Lab Multidimens Informat Proc, Shanghai 200062, Peoples R ChinaE China Normal Univ, Shanghai Key Lab Multidimens Informat Proc, Shanghai 200062, Peoples R China
Han Dingding
2ND INTERNATIONAL CONFERENCE ON SIMULATION AND MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS (SMTA 2015),
2015,
: 131
-
135
机构:
Tianjin Univ Technol, Tianjin Key Lab Control Theory & Complicated Ind, Tianjin 300384, Peoples R China
Tianjin Univ Technol, Sch Elect & Elect Engn, Tianjin 300384, Peoples R ChinaTianjin Univ Technol, Tianjin Key Lab Control Theory & Complicated Ind, Tianjin 300384, Peoples R China
Lu, Wenwen
Wang, Juan
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Tianjin Univ Technol, Tianjin Key Lab Control Theory & Complicated Ind, Tianjin 300384, Peoples R China
Tianjin Univ Technol, Sch Elect & Elect Engn, Tianjin 300384, Peoples R ChinaTianjin Univ Technol, Tianjin Key Lab Control Theory & Complicated Ind, Tianjin 300384, Peoples R China
Wang, Juan
Xia, Chengyi
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机构:
Tianjin Univ Technol, Tianjin Key Lab Intelligence Comp & Novel Softwar, Tianjin 300384, Peoples R ChinaTianjin Univ Technol, Tianjin Key Lab Control Theory & Complicated Ind, Tianjin 300384, Peoples R China