An artificial negotiating agent modeling approach embedding dynamic offer generating and cognitive layer

被引：1

作者：

Bahrammirzaee, Arash ^{[1
]}

Chohra, Amine ^{[1
]}

Madani, Kurosh ^{[1
]}

机构：

[1] Univ PARIS EST Creteil UPEC, Signals Images & Intelligent Syst Lab LISSI EA 39, Senart FB Inst Technol, F-77127 Lieusaint, France

来源：

NEUROCOMPUTING | 2011年 / 74卷 / 16期

关键词：

Artificial agent; Negotiating agent; Bio-inspired Artificial Intelligence; Cognitive layer; Complex system; INCOMPLETE INFORMATION; SYSTEM;

D O I：

10.1016/j.neucom.2011.03.026

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a dynamic offer generating unit and cognitive layer are suggested for artificial agents based negotiation systems. For this purpose, first, adaptive time and behavior dependent tactics are developed taking advantages from time continuity and dynamics aspects (features) integrated in their modeling. Then, a negotiation strategy (bilateral over single issue) based on these two tactics is suggested. Second, a cognitive negotiation model for a negotiator agent is developed using Win-Lose and Win-Win orientations which will be formed based on personality factors. Afterwards, an experimental validation is conducted for testing applicability of time dependent tactics, the effect of offering time, and the effect of cognitive orientations (Win-Lose and Win-Win) on final negotiation outcomes. The results prove the applicability of the suggested time and behavior dependent tactics as well as the proposed cognitive negotiation model. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：2698 / 2709

页数：12

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