Stroke economy approach for constructing complex expert system using multi agent architecture.
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © May to June Issue 2011 by IJCTT Journal | ||
| Volume-1 Issue-2 | ||
| Year of Publication : 2011 | ||
| Authors : U.Chandrasekhar , S.Sahithya. |
Mohammed Ali Hussain, Dr. K.V.Sambasiva Rao. "Stroke economy approach for constructing complex expert system using multi agent architecture."International Journal of Computer Trends and Technology (IJCTT),V1(2):190-194 May to June Issue 2011 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract—In a highly competitive and ever evolving dynamic environment the need for an effective and a highly efficient work force that can reduce various overheads , is massive. This is where a distributed, multi agent architecture comes into play. In th is paper, we propose a decentralized, multi agent architecture that works in a distributed and dynamic environment . It uses stroke economy approach to optimize itself and evolve into an expert system of experts . The aim is to construct a unified mind from several minds, each exp ert in a sub domain. The goal is to achieve variety in task handling approaches and quality output, while optimizing task scheduling process. We also present a learning mechanism which helps individual agents to lift themselves up to the le vel of more expe rienced agents, i n their sub domain. We also aim to minimize the size of system , initially commissioned for that application , optimize transfer of data and schedule tasks effectively , promising a high quality performance
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Keywords— Multi agent architectur e , Distributed AI, Subsumption architecture , Reinforcement learning