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.
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Giacomin, M. (2002). Self-Stabilizing Distributed Algorithms for Defeat Status Computation in Argumentation. In: Mařík, V., Štěpánková, O., Krautwurmová, H., Luck, M. (eds) Multi-Agent Systems and Applications II. ACAI 2001. Lecture Notes in Computer Science(), vol 2322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45982-0_6
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DOI: https://doi.org/10.1007/3-540-45982-0_6
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