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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Dutta, A. | |
| dc.contributor.author | Acharya, S. | |
| dc.contributor.author | Krishna, A. | |
| dc.contributor.author | Bhattacharya, S. | |
| dc.date.accessioned | 2020-03-30T09:46:21Z | - |
| dc.date.available | 2020-03-30T09:46:21Z | - |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, 2013, Vol.2013-January, January, pp.685-688 | en_US |
| dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/6897 | - |
| dc.description.abstract | Distributed Decision Making has become of increasing importance to get solution of different real life problems. Application of agent and multi agent system in this Distributed Decision Support System is an evolving paradigm. One of such real life problem is medical board formation. But always formation of a medical board with a group of expert physicians may not be always possible due to lack of infrastructure, availability, time etc. In these situations the role of multi agent based distributed decision making can comes into play. In this paper we develop a Virtual Medical Board System in which a number of software agents (expert agents) act as a group of expert physicians with knowledge base(KB), reasoning capability. They coordinate with each other to diagnose a patient. Copyright � 2013 by Knowledge Systems Institute Graduate School. | en_US |
| dc.title | Virtual medical board: A distributed Bayesian agent based approach | en_US |
| dc.type | Book chapter | en_US |
| Appears in Collections: | 2. Conference Papers | |
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