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An Argumentation Model of Reasoning

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đź“ś Abstract

We propose a formal model of argumentation that combines both rule-based reasoning and case-based reasoning. This model formalizes how an agent interacts with multiple agents with different reasoning strategies, and how it resolves conflicts and achieves mutual understanding through argumentation. Argumentation distinguishes itself from conventional reasoning or consensus-based reasoning by openly presenting and justifying conflicting opinions. For this activity, the linguistic level of each reasoning mechanism is introduced and described. As an application of the argumentation model, we demonstrate a co-operation system among agents, which shows how argumentation makes it possible to integrate heterogeneous methods for reasoning by propagating illocutionary acts.

✨ Summary

The paper “An Argumentation Model of Reasoning” by Kazuko Takahashi and Toru Ishida introduces a formal model combining rule-based and case-based reasoning frameworks to enhance argumentation within multi-agent systems. The authors explore how agents resolve conflicts and achieve understanding through well-defined argumentation strategies that contrast with traditional consensus-based reasoning. This method leverages linguistic mechanisms and illocutionary acts to integrate diverse reasoning approaches.

A web search reveals limited specific instances of this paper’s direct influence on further research or industry applications. The concepts of the model have potential implications in areas such as the development of collaborative and cooperative systems in artificial intelligence. The framework could support advanced reasoning capabilities, particularly in multi-agent systems requiring semantic interoperability and conflict resolution.

While no specific citations or industry applications are found to reference this particular paper directly, the theoretical groundwork it lays has conceivable relevance for future works in semantic web technologies, knowledge representation, and AI-driven collaborative platforms.