Title: Hybrid reasoning-based system for collaborative decision-making

Authors: Abdelkader Adla

Addresses: LISI, University of Poitiers, Poitiers, France; Department of Computer Science, University of Oran, Oran, Algeria

Abstract: Collaborative activities such as coordination, decision-making and negotiation critically depend on historical knowledge of an organisation. Previous research in collaborative activities has proposed the use of collective memory to accumulate, organise, preserve, link and share diverse knowledge coming from past experiences, and thus support such collaborative activities. In this paper we describe a hybrid reasoning-based system for collaborative decision-making which combines a case-based reasoning method and a model-based reasoning method. The main goals are to reduce the time required to come to a decision, particularly, in a contingency situation, to compensate for lack of experience of young operators, and to distribute available experience to different sites.

Keywords: collaborative decision making; case-based reasoning; CBR; group decision support systems; GDSS; shared collective memory; hybrid reasoning; intelligent systems.

DOI: 10.1504/IJRIS.2011.043545

International Journal of Reasoning-based Intelligent Systems, 2011 Vol.3 No.3/4, pp.205 - 211

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 04 Nov 2011 *

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