A STUDY OF A QUADRUPLE CO-EVOLUTIONARY MODEL AND ITS RECIPROCITY PHASE FOR VARIOUS PRISONER'S DILEMMA GAME
2011 ◽
Vol 22
(04)
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pp. 401-417
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Keyword(s):
We present and numerically investigate a quadruple co-evolutionary model for 2 × 2 Prisoner's Dilemma games which allows not only for agents to adopt strategy (Cooperation C or Defection D) and for network topology, but also for the probability of link rewiring that controls the speed of network evolution and the updating rule itself. The results of a series of simulations reveal that C agents in a coexisting phase increase their rewiring probability to avoid neighboring D agents' exploitation through the Game Exit Option. This evolutionary process leads most agents to adopt pairwise updating even though Imitation Max update adopted by all agents brings a higher payoff.
2000 ◽
Vol 11
(08)
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pp. 1539-1544
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Keyword(s):
2020 ◽
Vol 384
(11)
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pp. 126233
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Popularity-driven strategy updating rule promotes cooperation in the spatial prisoner's dilemma game
2019 ◽
Vol 353
◽
pp. 82-87
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1992 ◽
Vol 86
(2)
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pp. 418-431
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2016 ◽
Vol 63
(5)
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pp. 263-277
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