Information and knowledge exchange in a multi-agent system for stock trading.
Luo, Yuan and 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
Full text is not in this repository.
Official URL: http://www.cs.mdx.ac.uk/staffpages/yuanluo/researc...
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.
|Item Type:||Book Section|
Conference held in Atlanta, USA, June 4-6, 2001.
|Research Areas:||A. > School of Science and Technology > Computer and Communications Engineering|
|Deposited On:||06 Apr 2009 16:54|
|Last Modified:||19 Mar 2015 17:50|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year