Evaluation of Dishonest Argumentation based on an Opponent Model: A Preliminary Report

Kazuyuki Kokusho, Kazuko Takahashi

2018

Abstract

This paper discusses persuasive dialogue in a case where dishonesty is permitted. We have previously proposed a dialogue model based on a predicted opponent model using an abstract argumentation framework, and discussed the conditions under which a dishonest argument could be accepted without being detected. However, it is hard to estimate the outcome of a dialogue, or identify causality between agents’ knowledge and the result. In this paper, we implement our dialogue model and execute argumentations between agents under different conditions. We analyze the results of these experiments and discuss about them. In brief, our results show that the use of dishonest arguments affects the likelihood of successfully persuading the opponent, or winning a debate game, but we could not identify a relationship between the results of a dialogue and the initial argumentation frameworks of the agents.

Paper Citation

in Harvard Style

Kokusho K. and Takahashi K. (2018). Evaluation of Dishonest Argumentation based on an Opponent Model: A Preliminary Report.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-275-2, pages 268-275. DOI: 10.5220/0006648402680275

in Bibtex Style

@conference{icaart18,
author={Kazuyuki Kokusho and Kazuko Takahashi},
title={Evaluation of Dishonest Argumentation based on an Opponent Model: A Preliminary Report},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2018},
pages={268-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006648402680275},
isbn={978-989-758-275-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Evaluation of Dishonest Argumentation based on an Opponent Model: A Preliminary Report
SN - 978-989-758-275-2
AU - Kokusho K.
AU - Takahashi K.
PY - 2018
SP - 268
EP - 275
DO - 10.5220/0006648402680275