Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Bhattacharya, S.Subject: search.filters.subject.Multi agent system

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    Virtual medical board: A distributed Bayesian agent based approach
    (Knowledge Systems Institute Graduate School office@ksi.edu, 2013) Dutta, A.; Acharya, S.; Krishna, A.; Bhattacharya, S.
    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. © © 2013 by Knowledge Systems Institute Graduate School.
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    Multi agent based railway scheduling and optimization
    (Institute of Electrical and Electronics Engineers Inc., 2015) Dalapati, P.; Singh, A.J.; Dutta, A.; Bhattacharya, S.
    This paper proposes a multi agent based timetable scheduling algorithm for railway system which handles the in-between time delay of the newly introduced train. The delay management indeed optimizes the total journey time, hence increases the total utility of the whole railway system as well. Here we show that schedule generated by our proposed algorithm is the most optimized schedule. It is done by using the notion of DCOP(Distributed Constraint Optimization Problem), where we define some metric to analyze the system to achieve our goals. We use JADE(Java Agent DEvelopment Framework) platforms to simulate our work and test it using a small network. We also take a small case study to compare our proposed work with the existing one and the results are therefore presented. © 2014 IEEE.