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

  • 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

Quantified Score

Hi-index 0.00

Visualization

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. More specifically, we address ourselves to the following basic questions that can not be overlooked. 1. Can the neural argumentation algorithm deal with self-defeating or other pathological arguments? 2. Can the argument status of the neural net argumentation correspond to the well-known argument status? 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.