Information theory based intelligent agents

Authors:
Elaine Lawrence;John Debenham
Affiliations:
QCIS, FEIT, University of Technology, Sydney, Australia;QCIS, FEIT, University of Technology, Sydney, Australia
Venue:
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Year:
2010

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Abstract

Electronic and mobile trading environments are saturated with information from the Internet and the World Wide Web. This paper proposes agents that can assimilate and use real-time information flows wisely to automate contract negotiation reliably. A new breed of "information-based" agents are founded on concepts from information theory, and are designed to operate with information flows of varying and questionable integrity. These agents are part of a larger project that aims to make informed automated trading in applications such as electronic or mobile procurement a reality.