“Traditional programs don’t prepare students to design systems that take into account the goals and incentives of the people who use them,” said Michael Kearns, professor in the Department of Computer and Information Science in Penn’s School of Engineering and Applied Science and the program’s founding faculty director. “We haven’t asked engineering students to take a course in game theory to understand how incentives work or in sociology to understand human behavior. There is now enough science out there on the intersection of these topics to design undergraduate courses.”Find out more by reading their press release and browsing the MKSE website.
Tuesday, November 10, 2009
Wednesday, September 30, 2009
The book titled Networks, Crowds, and Markets by David Easley and Jon Kleinberg is now available to download freely from the link above. The current version is a pre-publication draft.
As is evident from reading the outline, there is a lot of overlap between the research present in this book and multiagent research. They both deal with game theory, auctions, markets, bargaining and, most importantly, search in networks, albeit from different perspectives.
Thursday, August 27, 2009
Sunday, August 16, 2009
Thursday, August 13, 2009
Friday, August 7, 2009
Saturday, July 18, 2009
I like Ariel's definition of AI as: "everything that might get published in AAAI/IJCAI", its a bit more specific that the old "once we understand it, it stops being AI" while still allowing the field to move around randomly.
Wednesday, June 17, 2009
Tuesday, June 16, 2009
The new opera unite implements a web server into every web browsers, thus allowing real peer-to-peer communications, that is, we can build multiagent systems that run solely on the browser without the need for a server to route all messages. I hope the big three (IE, firefox, chrome) also implement this.
Sunday, April 26, 2009
Thursday, March 19, 2009
I have updated the textbook. You will find the new version below. The changes are all bugfixes. I am extremely thankful to the many people, from across the world, who have taken time to email me about the errors they have found it the book. I am also very happy that so many are reading it. Unfortunately, since I have not had the chance to teach our multiagent systems class lately, I have not had the time to add new material to the textbook. Hopefully, I will be teaching the class again in the next couple of years and then I will add new material. Still, I do fill confident that the material in the textbook is mostly timeless (for example, the Nash bargaining solution goes back to 1950) so it should hold up fine as a good introduction to the field.
I would be amiss if I didn't mention that Shohan and Leyton-Brown published Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations which covers much of the same material my book is trying to cover. Still, their coverage is not identical. Their book also focuses more on proofs. My goal, on the other hand, is to develop a book for practitioners: people who want to engineer multiagent systems. Thus, I try to focus on algorithms and provide the hands-on NetLogo examples. Anyway, you be the judge.Fundamentals of Multiagent Systems