An e-Market Framework for Informed Trading

• John Debenham, Faculty of IT University of Technology, Sydney, Australia
• Simeon Simoff, Faculty of IT University of Technology, Sydney, Australia

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Track: E* Applications: E-Communities, E-Learning, E-Commerce, E-Science, E-Government, and E-Humanities

Slot: 16:00-17:30, Friday 26th May

Fully automated trading, such as e-procurement, using the Internet is virtually unheard of today. Three core technologies are needed to fully automate the trading process: data mining, intelligent trading agents and virtual institutions in which informed trading agents can trade securely both with each other and with human agents in a natural way. This paper describes a demonstrable prototype e-trading system that integrates these three technologies and is available on the World Wide Web. This is part of a larger project that aims to make informed automated trading a reality.