2018
DOI: 10.1103/physreve.98.012415
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Single equalizer strategy with no information transfer for conflict escalation

Abstract: In an iterated two-person game, for instance prisoner's dilemma or the snowdrift game, there exist strategies that force the payoffs of the opponents to be equal. These equalizer strategies form a subset of the more general zero-determinant strategies that unilaterally set the payoff of an opponent. A challenge in the attempts to understand the role of these strategies in the evolution of animal behavior is the lack of iterations in the fights for mating opportunities or territory control. We show that an arbi… Show more

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Cited by 10 publications
(6 citation statements)
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“…In addition to evolutionary games, ZD strategies have been studied from various directions. Examples include games with observation errors [19,20], multiplayer games [12,[21][22][23][24][25], continuous action spaces [23,24,26,27], alternating games [27], asymmetric games [28], animal contests [29], human reactions to computerized ZD strategies [30,31], and human-human experiments [23,32,33].…”
Section: Introductionmentioning
confidence: 99%
“…In addition to evolutionary games, ZD strategies have been studied from various directions. Examples include games with observation errors [19,20], multiplayer games [12,[21][22][23][24][25], continuous action spaces [23,24,26,27], alternating games [27], asymmetric games [28], animal contests [29], human reactions to computerized ZD strategies [30,31], and human-human experiments [23,32,33].…”
Section: Introductionmentioning
confidence: 99%
“…After Stewart and Plotkin raised a question [10], evolution or emergence of ZD strategies became one of the main targets in subsequent studies [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Then, this research spread in many directions including multiplayer games [19,[26][27][28][29], continuous action spaces [28][29][30][31], alternating games [31], asymmetric games [32], animal contests [33], human reactions to computerized ZD strategies [34,35], and human-human experiments [28,36,37], which promote an understanding of the nature of human cooperation. For further understanding, see the recent elegant classification of strategies, partners (called "good strategies" in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…After Stewart and Plotkin raised a question [10], evolution or emergence of ZD strategies became one of the main targets in subsequent studies [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Then, this research spread in many directions including multiplayer games [19,[26][27][28][29], continuous action spaces [28][29][30][31], alternating games [31], asymmetric games [32], animal contests [33], human reactions to computerized ZD strategies [34,35], and human-human experiments [28,36,37], which promote an understanding of the nature of human cooperation. For further understanding, see the recent elegant classification of strategies, partners (called "good strategies" in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Besides evolutionary games, ZD strategies have been studied from various directions. Examples are games with a discount factor [26][27][28][29][30], games with observation errors [31,32], multiplayer games [7,19,[33][34][35][36], continuous action spaces [27,28,35,36], alternating games [28], asymmetric games [37], animal contests [38], human reactions to computerized ZD strategies [39,40], and human-human experiments [35,41,42].…”
Section: Introductionmentioning
confidence: 99%