DocumentCode
188605
Title
Agent Types and Adaptive Negotiation Strategies in Argumentation-Based Negotiation
Author
Mbarki, Mohamed ; Marey, Omar ; Bentahar, Jamal ; Sultan, Khalid
Author_Institution
Higher Inst. of Appl. Sci. & Technol. of Sousse, Sousse, Tunisia
fYear
2014
fDate
10-12 Nov. 2014
Firstpage
485
Lastpage
492
Abstract
In order to successfully achieve an agreement in negotiation dialogues, different negotiation strategies and agent types should be considered. This paper proposes a framework for Argumentation-Based Negotiation (ABN) in which we introduce two main negotiation strategies, namely CONCESSION and ACCEPTANCE strategies as well as a new set of agent types. In particular, three concession and four acceptance strategies are proposed and analyzed, and based on the adopted strategies, negotiating agents are classified into twelve agent types. In each negotiation dialogue, each participant selects one concession and one acceptance strategy, which in turn confirms its type for that dialogue. The paper also discusses some important efficiency properties, such as completeness, Pareto optimality, and Nash equilibrium results with respect to the different agent types.
Keywords
Pareto optimisation; game theory; multi-agent systems; ABN; Nash equilibrium; Pareto optimality; acceptance strategy; adaptive negotiation strategy; agent types; argumentation-based negotiation; completeness; concession strategy; efficiency property; negotiating agents; negotiation dialogue; Abstracts; Artificial intelligence; Cognition; Manganese; Nash equilibrium; Resistance; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on
Conference_Location
Limassol
ISSN
1082-3409
Type
conf
DOI
10.1109/ICTAI.2014.79
Filename
6984515
Link To Document