Information and knowledge exchange in a multi-agent system for stock trading.

Luo, Yuan Roger ORCID: https://orcid.org/0000-0002-9812-5543, Davis, Darryl N. and Liu, Kechong (2001) Information and knowledge exchange in a multi-agent system for stock trading. In: 2001 enterprise networking, applications and services conference proceedings: entnet@supercomm2001. Jakobson, Gabriel and Ray, Pradeep, eds. IEEE, pp. 47-55. ISBN 9780780373426. [Book Section]

Abstract

A distributed problem solving system can be characterised as a
group of individual agents running and co-operating with other agents to solve
a problem. As dynamic domains such as stock trading are continuing to grow
in complexity, it becomes more difficult to control the behaviour of agents in
the domains where unexpected events can occur. This paper presented an
information and knowledge exchange framework to support the distributed
problem solving in the stock trading domain. It addresses two important
issues: (1) How individual agents should be interconnected so that their
capacities are efficiently used and their goals are accomplished effectively and
efficiently; (2) How the information and knowledge transfer should take place
among agents to allow them to respond successfully to user requests and
unexpected situations in the outside world. The focus of this paper is dynamic
knowledge exchange among MASST agents. The co-ordinator agent together
with a decision enabling warehouse acting as a dynamic blackboard plus
direct intercommunication among the agents enable facts, commands, and
rules to be transferred between MASST agents. Knowledge can be exchanged
among the agents by using a combination of facts, rules and commands
transfers.

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