Multiagent System for Construction Claims Negotiation
نویسندگان
چکیده
Negotiation is an important aspect of the construction process. Different negotiation theories and models are available and have been deployed in a variety of situations. In some cases, these have been incorporated into multiagent systems that address a number of engineering problems. This paper is concerned with the approach adopted in the development of a multiagent system for construction claims negotiation ~MASCOT!. It reviews the key negotiation theories, outlines the peculiarities of the domain ~construction claims negotiation!, and discusses the choice of an appropriate negotiation mechanism for MASCOT. Of particular interest is the integration of Zeuthen’s bargaining model with a Bayesian learning mechanism, which addresses the characteristics of construction claims negotiation. An example is presented to demonstrate the application of the MASCOT model in a real construction claim case. DOI: 10.1061/~ASCE!0887-3801~2003!17:3~180! CE Database subject headings: Artificial intelligence; Claims; Negotiations; Construction industry.
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