囚徒困境中的自我意识智能体

Chung-Yuan Huang, Sheng-Wen Wang, Chuen-Tsai Sun
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引用次数: 2

摘要

有自知之明的人更有可能考虑他们的行为是否符合公众的自我意识,并利用这些信息来执行符合外部标准和/或期望的行为。个体监控自己的学习概念通常被人工智能研究人员所忽视。在这里,我们报告了将自我意识机制集成到智能体学习架构中的尝试。具体来说,我们描述了(a)我们提出的自我意识智能体模型,该模型包括外部学习机制和具有超我和自我特征的内部认知能力;(b)我们应用了一个代表公共利益和私人利益冲突的囚徒困境的迭代版本来分析自我意识对代理人个人绩效和合作行为的影响。我们的研究结果表明,考虑公众自我意识的自我意识主体以一种促进合作行为和支持更快的社会稳定运动的方式利用理性分析。我们发现,少量的自我意识主体足以提高社会效益和解决与集体非理性行为相关的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-Aware Intelligent Agents in the Prisoner's Dilemma
Self-aware individuals are more likely to consider whether their actions are appropriate in terms of public self-consciousness, and to use that information to execute behaviors that match external standards and/or expectations. The learning concepts through which individuals monitor themselves have generally been overlooked by artificial intelligence researchers. Here we report on our attempt to integrate a self-awareness mechanism into an agent¡¦s learning architecture. Specifically, we describe (a) our proposal for a self-aware agent model that includes an external learning mechanism and internal cognitive capacity with super-ego and ego characteristics; and (b) our application of a version of the iterated prisoner¡¦s dilemma representing conflicts between the public good and private interests to analyze the effects of self-awareness on an agent¡¦s individual performance and cooperative behavior. Our results indicate that self-aware agents that consider public self-consciousness utilize rational analysis in a manner that promotes cooperative behavior and supports faster societal movement toward stability. We found that a small number of self-aware agents are sufficient for improving social benefits and resolving problems associated with collective irrational behaviors.
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