Virtual Medical Board: A Distributed Bayesian Agent Based Approach
Distributed Decision Making has become of increasing importance to get solution of different real life problems, where decision makers are in geographically dispersed locations. Application of agent and multi agent system in this Distributed Decision Support System is an evolving paradigm. One of su...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Knowledge Systems Institute Graduate School
2013
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| Online Access: | http://www.nitdgp.ac.in/madclab/Papers/Papers/Paper6.pdf http://hdl.handle.net/20.500.11937/49020 |
| _version_ | 1848758148441047040 |
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| author | Dutta, A. Acharya, S. Krishna, Aneesh Bhattacharya, S. |
| author2 | Unknown |
| author_facet | Unknown Dutta, A. Acharya, S. Krishna, Aneesh Bhattacharya, S. |
| author_sort | Dutta, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Distributed Decision Making has become of increasing importance to get solution of different real life problems, where decision makers are in geographically dispersed locations. 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 diagnosis. For critical medical diagnosis, medical board is formed which is a coordinative discussion mechanism between a group of expert physicians to diagnose a patient. But always forming a medical board with a group of expert physicians may not be possible due to lack of infrastructure, availability, time etc. In that situation 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 physician with knowledge base(KB), reasoning capability. They coordinatively discuss with each other to diagnose a patieh each other to diagnose a patient. We represent the discussion module of the system in the form of Bayesian Network of Bayesian Agent (BNBA). In BNBA each BA is the expert software agent whose Knowledge Base (KB) is represented in the form of Bayesian Network (BN). Also the BDI (Belief, Desire, Intention) model of each BA is represented in this paper. |
| first_indexed | 2025-11-14T09:39:23Z |
| format | Conference Paper |
| id | curtin-20.500.11937-49020 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:39:23Z |
| publishDate | 2013 |
| publisher | Knowledge Systems Institute Graduate School |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-490202017-12-08T05:49:38Z Virtual Medical Board: A Distributed Bayesian Agent Based Approach Dutta, A. Acharya, S. Krishna, Aneesh Bhattacharya, S. Unknown Distributed Decision Making has become of increasing importance to get solution of different real life problems, where decision makers are in geographically dispersed locations. 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 diagnosis. For critical medical diagnosis, medical board is formed which is a coordinative discussion mechanism between a group of expert physicians to diagnose a patient. But always forming a medical board with a group of expert physicians may not be possible due to lack of infrastructure, availability, time etc. In that situation 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 physician with knowledge base(KB), reasoning capability. They coordinatively discuss with each other to diagnose a patieh each other to diagnose a patient. We represent the discussion module of the system in the form of Bayesian Network of Bayesian Agent (BNBA). In BNBA each BA is the expert software agent whose Knowledge Base (KB) is represented in the form of Bayesian Network (BN). Also the BDI (Belief, Desire, Intention) model of each BA is represented in this paper. 2013 Conference Paper http://hdl.handle.net/20.500.11937/49020 http://www.nitdgp.ac.in/madclab/Papers/Papers/Paper6.pdf Knowledge Systems Institute Graduate School fulltext |
| spellingShingle | Dutta, A. Acharya, S. Krishna, Aneesh Bhattacharya, S. Virtual Medical Board: A Distributed Bayesian Agent Based Approach |
| title | Virtual Medical Board: A Distributed Bayesian Agent Based Approach |
| title_full | Virtual Medical Board: A Distributed Bayesian Agent Based Approach |
| title_fullStr | Virtual Medical Board: A Distributed Bayesian Agent Based Approach |
| title_full_unstemmed | Virtual Medical Board: A Distributed Bayesian Agent Based Approach |
| title_short | Virtual Medical Board: A Distributed Bayesian Agent Based Approach |
| title_sort | virtual medical board: a distributed bayesian agent based approach |
| url | http://www.nitdgp.ac.in/madclab/Papers/Papers/Paper6.pdf http://hdl.handle.net/20.500.11937/49020 |