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author:

Wu, L. (Wu, L..) [1] | Yu, C. (Yu, C..) [2] | Wang, H. (Wang, H..) [3]

Indexed by:

Scopus

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. © 2010 Springer-Verlag.

Keyword:

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

Community:

  • [ 1 ] [Wu, L.]College of Mathematic and Computer Science, Fuzhou University, 350108 Fuzhou, Fujian, China
  • [ 2 ] [Yu, C.]College of Mathematic and Computer Science, Fuzhou University, 350108 Fuzhou, Fujian, China
  • [ 3 ] [Wang, H.]College of Mathematic and Computer Science, Fuzhou University, 350108 Fuzhou, Fujian, China

Reprint 's Address:

  • [Wu, L.]College of Mathematic and Computer Science, Fuzhou University, 350108 Fuzhou, Fujian, China

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Source :

Communications in Computer and Information Science

ISSN: 1865-0929

Year: 2010

Issue: PART 1

Volume: 97 CCIS

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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