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A Relative Entropy Method for Improving Agent-Based Negotiation Efficiency of Collaborative Working in Construction Projects

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 4674)

Abstract

This research presents a relative entropy method for improving agent-based multi-attribute negotiation efficiency (REAMNE) of collaborative working in construction projects (CWCP). This method aggregates preference information of negotiators of CWCP in two steps. Firstly, compromise group preference order is ascertained by using preference information, which is newly provided by negotiators, and compromise preference information, which is formed in previously agent-based automatically negotiation process and calculated by using a compromise preference model. Secondly, group preferences are aggregated by using a relative entropy model, which is established based on entropy theory meanwhile considering the multiple attributes in negotiation of CWCP. The method of REAMNE has the merit of fulfilling the necessary requirement of group decision making (GDM), i.e. maximizing preference consistency of GDM and keeping minimum gap of negotiators’ utility and group preference.

Keywords

  • Collaborative working
  • Agent
  • Negotiation
  • Relative entropy

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Yuhua Luo

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© 2007 Springer-Verlag Berlin Heidelberg

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Xue, X., Lu, J., Wang, Y., Shen, Q. (2007). A Relative Entropy Method for Improving Agent-Based Negotiation Efficiency of Collaborative Working in Construction Projects. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2007. Lecture Notes in Computer Science, vol 4674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74780-2_58

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  • DOI: https://doi.org/10.1007/978-3-540-74780-2_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74779-6

  • Online ISBN: 978-3-540-74780-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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