A multi-agent system framework for dec ision support in S tock T radin g Yuan Luo Schoo l of C omp utin g, Staf for dshir e Un iver sity, S taff ord, S T1 8 0DG , UK.
For the domain of stock trading, we proposed a multi-agent framework for stock trading (MASST) . MASST is a closely collaborating agent system in which every agent has its own specialised capabilities and knowledge, and no one agent has the whole knowledge about the world. All the task specific MASST agents are situated on the same machine.
stock trading decision support multi-agent system framework masst agent individual agent co-ordinator agent dynamic knowledge exchange important issue unexpected situation direct intercommunication knowledge exchange framework dynamic domain knowledge transfer unexpected event dynamic blackboard viable implementation multi-agent approach distributed problem stock trading.
A requirement analysis for the portfolio management in the stock trading has presented a conduct viability and theoretical foundation for a stock trading system.
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Bui and Lee (1999) propose a framework for building decision support systems using software agent technology to support organisations characterised by physically distributed enterprise- wide, heterogeneous information systems. Intelligent agents have offered tremendous potential in A Multi-Agent Framework for Stock Trading Darryl Davis Department of Computer Science, University of Hull, HU6.