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Influences of agents with a self-reputation awareness component in an evolutionary spatial IPD game.


ABSTRACT: Iterated prisoner's dilemma (IPD) researchers have shown that strong positive reputations plus an efficient reputation evaluation system encourages both sides to pursue long-term collaboration and to avoid falling into mutual defection cycles. In agent-based environments with reliable reputation rating systems, agents interested in maximizing their private interests must show concern for other agents as well as their own self-reputations--an important capability that standard IPD game agents lack. Here we present a novel learning agent model possessing self-reputation awareness. Agents in our proposed model are capable of evaluating self-behaviors based on a mix of public and private interest considerations, and of testing various solutions aimed at meeting social standards. Simulation results indicate multiple outcomes from the addition of a small percentage of self-reputation awareness agents: faster cooperation, faster movement toward stability in an agent society, a higher level of public interest in the agent society, the resolution of common conflicts between public and private interests, and a lower potential for rational individual behavior to transform into irrational group behavior.

SUBMITTER: Huang CY 

PROVIDER: S-EPMC4063756 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Influences of agents with a self-reputation awareness component in an evolutionary spatial IPD game.

Huang Chung-Yuan CY   Lee Chun-Liang CL  

PloS one 20140619 6


Iterated prisoner's dilemma (IPD) researchers have shown that strong positive reputations plus an efficient reputation evaluation system encourages both sides to pursue long-term collaboration and to avoid falling into mutual defection cycles. In agent-based environments with reliable reputation rating systems, agents interested in maximizing their private interests must show concern for other agents as well as their own self-reputations--an important capability that standard IPD game agents lac  ...[more]

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