He received the Ph.D. and M.S. degrees in computer science from the University of Massachusetts at Amherst in 1996 and 1994. He has nine years of experience building multiagent systems. He has also co-developed two fielded AI systems, and is Chief Scientist of an electronic commerce startup company. It also serves to make newcomers and executive level participants familiar with the issues. The tutorial reviews work from microeconomics that has been found most relevant to computational agents.
Emphasis is given to results that have direct applications to computational multiagent systems.
Applications themselves will be discussed. No specific background is required in economics or multiagent systems. A general familiarity with computer science is helpful, but even a layperson will be able to appreciate the basic issues raised and answered in this tutorial. Builders of open multiagent systems. A. Introduction to multiagent systems consisting of self-interested agents 1.