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author:

Wu, Liqiao (Wu, Liqiao.) [1] | Yu, Chunyan (Yu, Chunyan.) [2] (Scholars:余春艳) | Wang, Hongshu (Wang, Hongshu.) [3]

Indexed by:

CPCI-S

Abstract:

To construct an artificial system with multi-Agents, it is obvious that some important factors, such as different agent's interests, limited resources and so on, will inevitably lead to conflict. To reduce conflict, it is found that effective competition with negotiation among multi-Agents can improve overall performance. Thence, this paper proposes a new Multi-Agents Competition Model with Negotiation, which improves the forecast accuracy of opponent's competing strategies with negotiation information and shortens negotiation time effectively depending on selecting strategies in probability to maximum interest.

Keyword:

Competition with negotiation Multi-Agents competition model Negotiation information Probability selection strategies

Community:

  • [ 1 ] [Wu, Liqiao]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China
  • [ 2 ] [Yu, Chunyan]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China
  • [ 3 ] [Wang, Hongshu]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China

Reprint 's Address:

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    [Wu, Liqiao]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China

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Source :

LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, PT I

ISSN: 1865-0929

Year: 2010

Volume: 97

Page: 92-99

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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