A hybrid argumentation of symbolic and neural net argumentation (Part II)

Authors:
Wataru Makiguchi;Hajime Sawamura
Affiliations:
Graduate School of Science and Technology, Niigata University, Niigata, Japan;Institute of Natural Science and Technology, Academic Assembly, Niigata University, Niigata, Japan
Venue:
ArgMAS'07 Proceedings of the 4th international conference on Argumentation in multi-agent systems
Year:
2007

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A hybrid argumentation of symbolic and neural net argumentation (Part I)

ArgMAS'07 Proceedings of the 4th international conference on Argumentation in multi-agent systems

A hybrid argumentation of symbolic and neural net argumentation (Part I)

ArgMAS'07 Proceedings of the 4th international conference on Argumentation in multi-agent systems

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Abstract

A novel approach to argumentation has been started by A. Garcez et al. Inspired by their work, we further go on investigating it, but turn to a more syncretic direction such as the interplay between neural net argumentation and symbolic argumentation. This paper is a sequel to our former one (Part I) [1]. In this paper we address ourselves to the following basic questions that can not be overlooked. 1. Can the neural argumentation algorithm compute the fixpoint semantics for formal argumentation? 2. Can argumentative dialogues be extracted from the neural net argumentation? Consequently, we give the positive answers to them. They are beneficial for understanding or characterizing the computation power and outcome of the neural net argumentation from the perspective of the symbolic argumentation. We also exemplify these results.