Argumentation is receiving an increasing attention as a technique for practical and uncertain reasoning underlying the realization of intelligent autonomous agents. In line with the evolution of agent architectures towards distribution, we propose a distributed approach to argumentation, where independent processes construct arguments and revise their defeat status by exploiting local information only. We present and compare two distributed self-stabilizing algorithms for defeat status computation, one specifically tailored to rebutting defeat, and the other able to handle any form of defeat. The property of self-stabilization is enforced to ensure a globally correct behavior of the system.

Self-stabilizing Distributed Algorithms for Defeat Status Computation in Argumentation

GIACOMIN, Massimiliano
2002-01-01

Abstract

Argumentation is receiving an increasing attention as a technique for practical and uncertain reasoning underlying the realization of intelligent autonomous agents. In line with the evolution of agent architectures towards distribution, we propose a distributed approach to argumentation, where independent processes construct arguments and revise their defeat status by exploiting local information only. We present and compare two distributed self-stabilizing algorithms for defeat status computation, one specifically tailored to rebutting defeat, and the other able to handle any form of defeat. The property of self-stabilization is enforced to ensure a globally correct behavior of the system.
2002
3540433775
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/159267
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