A multi-agent decision support system for stock trading
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A distributed problem solving system can be characterized as a group of individual cooperating
agents running to solve common problems. As dynamic application domains continue
to grow in scale and complexity, it becomes more difficult to control the
purposeful behavior of agents, especially when unexpected events may occur. This
article presents an information and knowledge exchange framework to support distributed
problem solving. From the application viewpoint the article concentrates on the stock trading
domain; however, many presented solutions can be extended to other dynamic
domains. It addresses two important issues: how individual agents should be interconnected
so that their resources are efficiently used and their goals accomplished effectively;
and how information and knowledge transfer should take place among the agents to
allow them to respond successfully to user requests and unexpected external situations.
The article introduces an architecture, the MASST system architecture, which
supports dynamic information and knowledge exchange among the cooperating agents.
The architecture uses a dynamic blackboard as an interagent communication
paradigm to facilitate factual data, business rule, and command exchange between cooperating
MASST agents. The critical components of the MASST architecture have
been implemented and tested in the stock trading domain, and have proven to be a viable
solution for distributed problem solving based on cooperating agents.
|Research Areas:||A. > School of Science and Technology > Computer and Communications Engineering|
|Depositing User:||Repository team|
|Date Deposited:||06 Apr 2009 17:36|
|Last Modified:||15 Feb 2016 15:06|
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