Using KADS to design a multi-agent framework for stock trading

被引：0
|
作者：
Luo, Y [1 ]
Davis, DN [1 ]
Liu, K [1 ]
机构：
[1] Staffordshire Univ, Sch Comp, Stafford ST18 0DG, England
来源：
IC-AI'2001: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS I-III | 2001年
关键词：
multi-agent system; knowledge-based system; stock trading; decision-making; KADS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A requirement analysis for a portfolio management in stock trading is presented. This provides a theoretical foundation for a stock trading system. The overall portfolio management tasks include eliciting user profiles, collecting information on the user's initial portfolio position, monitoring the environment on behalf of the user, and making decision suggestions to meet the user's investment goals. Based on the requirement analysis, this paper presents a framework for a Multi-Agent System for Stock Trading (MASST). The key issues it addresses include gathering and integrating diverse information sources with collaborating agents, and providing decision-making for investors in the stock market. We identify the candidate agents and the tasks that the agents perform. A KADS based analysis of the processes within the framework is described in this paper.
引用
收藏
页码：1149 / 1156
页数：8
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