论文标题

具有明确规范的社会智能遗传因素

Socially Intelligent Genetic Agents for the Emergence of Explicit Norms

论文作者

Agrawal, Rishabh, Ajmeri, Nirav, Singh, Munindar P.

论文摘要

规范有助于规范社会。规范可以是明确的(以结构化形式表示)或隐式。我们通过开发代理商来解决明确规范的出现,这些代理商在决定制裁和确定替代规范时提供了违反规范的解释。这些药物使用遗传算法来产生规范和增强学习,以学习这些规范的价值。我们发现,应用解释会导致规范为代理提供更好的凝聚力和目标满意度。对于慷慨态度不同的社会,我们的结果是稳定的。

Norms help regulate a society. Norms may be explicit (represented in structured form) or implicit. We address the emergence of explicit norms by developing agents who provide and reason about explanations for norm violations in deciding sanctions and identifying alternative norms. These agents use a genetic algorithm to produce norms and reinforcement learning to learn the values of these norms. We find that applying explanations leads to norms that provide better cohesion and goal satisfaction for the agents. Our results are stable for societies with differing attitudes of generosity.

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