Socially Intelligent Genetic Agents for the Emergence of Explicit Norms

• URL: http://arxiv.org/abs/2208.03789v1
• Date: Sun, 7 Aug 2022 18:48:48 GMT
• Title: Socially Intelligent Genetic Agents for the Emergence of Explicit Norms
• Authors: Rishabh Agrawal (1), Nirav Ajmeri (2), Munindar P. Singh (1) ((1) North Carolina State University, (2) University of Bristol)
• Abstract summary: We address the emergence of explicit norms by developing agents who provide and reason about explanations for norm violations. 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.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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