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Project planning and management using autonomous mobile agents, machine learning and negotiation protocols

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2 Author(s)
M. G. Fordyce ; Robert Gordon Univ., Aberdeen, UK ; J. E. M. Tyler

Scheduling project activities is an iterative and time-consuming process. This paper describes an innovative technique which can be used to automate these processes. The techniques described have been demonstrated through the implementation of a prototype automatic scheduler for meetings. The software uses an incremental learning algorithm to determine user preferences. The preferences are applied to a dedicated negotiation protocol to shorten the cycle of negotiation and to produce a result acceptable to all the users. The prototype system utilises mobile object and autonomous agents with dedicated communication protocols. A test bed was developed to evaluate the performance of the system

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Management of Innovation and Technology, 2000. ICMIT 2000. Proceedings of the 2000 IEEE International Conference on  (Volume:2 )

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