I hear and I forget. I see and I remember. I do and I understand. — Confucius - teacher, philosopher, and political theorist, 551-479 BC

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Multi-Agent Systems Research PhD Workshop 2009 -- Syllabus

Lectures

Date & Time	November 2/3/4 and December 7/8, 9:00-17:00
Room	T Building : T03-14/36/40 -- Campus map
Coordinator	Dr. Wolf Ketter (wketter@rsm.nl)
Instructors	Dr. Wolf Ketter (wketter@rsm.nl) and Dr. Eric van Heck (evanheck@rsm.nl) Office hours: After class and by appointment

Reading List

There is no textbook, we will read papers from a reading list that will be posted, together with other class material on the Web page at http://www-users.cs.umn.edu/~ketter/teaching/MASRW/2008/annoucements.html. Look at the reading list for details on the papers we will read.
Recommended reading:

Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation, by Michael J. North Michael J. North and Charles M. Macal
Complex Adaptive Systems: An Introduction to Computational Models of Social Life, by John Miller and Scott Page
Multiagent systems. A modern approach to Distributed Artificial Intelligence, edited by Gerhard Weiss. The MIT Press, 1999. ISBN: 0262731312
An Introduction to Multiagent Systems, by Michael Wooldridge. Published in February 2002 by John Wiley & Sons (Chichester, England). ISBN 0 47149691X.

Course Objectives

We will examine theoretical foundations and current developments in intelligent agents. The collections of papers we will read will provide a broad perspective of the field. The study of agents presents a unique opportunity to integrate results from many diverse areas of research, such as artificial intelligence, behavioral science, computer science, economics, information systems, operations research, and software engineering.

Course Requirements

attend class and participate to class discussion and in class assignments (20%),
present two of the papers from the reading list to the class and provide presentation notes (30%) (the first paper will be assigned in a top-down fashion and the second paper will be determined by a bidding process),
improve your PhD research proposal which uses intelligent agents and present briefly your results to the class (50%). More details on what to submit are listed on proposal page. You should plan on spending approximatively 50 hours on your proposal.

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