Abstract
The contract net protocol (CNP) is a widely used coordination mechanism in multiagent systems. It has been shown that its performance degrades drastically when the number of communicating agents and the number of tasks announced increases. Hence it has problems of scalability. In order to overcome this limitation, an Instance Based Learning (IBL) mechanism is incorporated with CNP that avoids the expensive bidding process and uses previously stored instances to select a target agent. The scheme is implemented in a simulated distributed hospital system where the CNP is used for resource sharing across hospitals. Experimental results demonstrate that with the incorporation of the IBL, the system performance improves significantly.
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Deshpande, U., Gupta, A., Basu, A. (2003). Performance Improvement of the Contract Net Protocol Using Instance Based Learning. In: Das, S.R., Das, S.K. (eds) Distributed Computing - IWDC 2003. IWDC 2003. Lecture Notes in Computer Science, vol 2918. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24604-6_28
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DOI: https://doi.org/10.1007/978-3-540-24604-6_28
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