Abstract
We propose the use of a dialectical argumentation formalism for chance discovery in domains where knowledge is distributed across a number of distinct knowledge-bases, as in a system of autonomous software agents. Each agent may have only a partial view of a problem, and may have insufficient knowledge to prove particular hypotheses; our formalism provides a means to aggregate across these partial views in a consistent manner. We identify a novel type of dialogue, which we call a discovery dialogue, and propose a formal model for its conduct. We then present locutions and rules for the implementation of these dialogues as dialogue-games.
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McBurney, P., Parsons, S. (2001). Chance Discovery Using Dialectical Argumentation. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_57
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DOI: https://doi.org/10.1007/3-540-45548-5_57
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