2023/06/24 by Yukiko Kato, Kato, Yukiko
Computer Science · Decision Sciences · Social Sciences · #Artificial Intelligence (cs.AI) #Cognitive Science and Mapping #Complex Systems and Decision Making #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Qualitative Comparative Analysis Research
paper · pdf · doi:10.48550/arxiv.2306.13961
openalex publication_date 2023/06/24 · openalex created_date 2023/06/28 · openalex updated_date 2026/07/28
This paper introduces the Categorical Graph Model for Conflict Resolution (C-GMCR), a novel framework that integrates category theory into the traditional Graph Model for Conflict Resolution (GMCR). The C-GMCR framework provides a more abstract and general way to model and analyze conflict resolution, enabling researchers to uncover deeper insights and connections. We present the basic concepts, methods, and application of the C-GMCR framework to the well-known Prisoner's Dilemma and other representative cases. The findings suggest that the categorical approach offers new perspectives on stability concepts and can potentially lead to the development of more effective conflict resolution strategies.