Title :
ARG_FuzzySim: Concluding Failed Multilateral Argumentation-Based Negotiation
Author :
Barhoumi, Ines ; Kallel, Ilhem ; Alimi, Adel M.
Author_Institution :
Nat. Sch. of Eng. (ENIS), Univ. of Sfax, Sfax, Tunisia
Abstract :
In this paper, we propose a new model that gives a solution about the conflict of interests in a multiagent system, and thus to conclude a failed argumentation based negotiation (ABN). Baptized ARG_FuzzySim, our model starts from the past exchanged arguments and integrates the concept of fuzzy similarity to determine the most similar argument and subsequently, the final decision. Among the strong features of ARG_FuzzySim is its facility to implement and propose a solution for conflicting argumentative negotiation between two or several agents. Various applications based on different negotiation scenario show the practicability and the effectiveness of the suggested model.
Keywords :
fuzzy reasoning; fuzzy set theory; multi-agent systems; ARG_FuzzySim; argumentation based negotiation; conflicting argumentative negotiation; fuzzy similarity; multiagent system; negotiation scenario; Artificial intelligence; Computer science; Engineering management; Fuzzy systems; Game theory; Machine intelligence; Multiagent systems; Proposals; argumentation; concluding negotiation; fuzzy similarity; multiagent system;
Conference_Titel :
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3514-2
DOI :
10.1109/CIMCA.2008.159