| contributor author | Z. Ren | |
| contributor author | C. J. Anumba | |
| contributor author | O. O. Ugwu | |
| date accessioned | 2017-05-08T21:13:02Z | |
| date available | 2017-05-08T21:13:02Z | |
| date copyright | July 2003 | |
| date issued | 2003 | |
| identifier other | %28asce%290887-3801%282003%2917%3A3%28180%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/43135 | |
| description abstract | 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. | |
| publisher | American Society of Civil Engineers | |
| title | Multiagent System for Construction Claims Negotiation | |
| type | Journal Paper | |
| journal volume | 17 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0887-3801(2003)17:3(180) | |
| tree | Journal of Computing in Civil Engineering:;2003:;Volume ( 017 ):;issue: 003 | |
| contenttype | Fulltext | |
