An explanation-oriented inquiry dialogue game for expert collaborative recommendations-Reference-Cited by-同舟云学术

An explanation-oriented inquiry dialogue game for expert collaborative recommendations

Published:2024-03-07 Issue: Volume: Page:1-36
ISSN:1946-2174
Container-title:Argument & Computation
language:
Short-container-title:AAC

Author:

Shaheen Qurat-ul-ain¹²,Budzynska Katarzyna³,Sierra Carles¹

Affiliation:

1. IIIA, CSIC, Barcelona, Spain

2. Software Competence Centre Hagenberg, Hagenberg, Austria

3. Laboratory of The New Ethos, Faculty of Administration and Social Sciences, Warsaw University of Technology, Warsaw, Poland

Abstract

This work presents a requirement analysis for collaborative dialogues among medical experts and an inquiry dialogue game based on this analysis for incorporating explainability into multiagent system design. The game allows experts with different knowledge bases to collaboratively make recommendations while generating rich traces of the reasoning process through combining explanation-based illocutionary forces in an inquiry dialogue. The dialogue game was implemented as a prototype web-application and evaluated against the specification through a formative user study. The user study confirms that the dialogue game meets the needs for collaboration among medical experts. It also provides insights on the real-life value of dialogue-based communication tools for the medical community.

Publisher

IOS Press

Reference78 articles.

1. J. Alama, A. Knoks and S.L. Uckelman, Dialogue games in classical logic, in: M. Giese, R. Kuznets, eds, TABLEAUX 2011: Workshops, Tutorials, and Short Papers, Technical Report IAM-11-002, Universität Bern, Bern, 2011, pp. 82–86, available from: https://doi.org/10.5167/uzh-190012.

2. L. Amgoud, N. Maudet and S. Parsons, Modelling dialogues using argumentation, in: Proceedings – 4th International Conference on MultiAgent Systems, ICMAS 2000, Institute of Electrical and Electronics Engineers Inc., 2000, pp. 31–38.

3. Explanatory dialogues with argumentative faculties over inconsistent knowledge bases;Arioua;Expert Systems with Applications,2017

4. Establishing the essentials

5. C.M. Barnum, 8, in: Analyzing the Findings, S. Merken, ed., Elsevier, 2021, pp. 287–319.