2007/10/27
I founded half a year ago the Learning Agents Research Group at Erasmus (LARGE). We are a team of researches from the Erasmus University, Rotterdam, that discuss all aspects of multi-agent systems in combination with machine learning methods and apply them to business and economic environments. Our blog is located here, and if you are interested to participate in the group please contact me. We are always happy to welcome new enthusiastic and creative researchers 
. The meetings take place every other Thursday in T09-67 from 9:15 until 11:00.
The project Advocate Agents was born during many good brainstorming sessions with Arun Batchu, Gary Berosik, and Dan McCreary in the past summer. Below is a quick overview about the project. If you are interested to participate please drop me a note.
The goal of our Advocate Agentsproject is to research, develop, and use highly personalized agents to complement the cogitative limitations of the human mind to facilitate the decision making process (including the gathering of information and recommendation of actions). These agents shall work in a collaborative manner with a user to accomplish his or her goals. To work effectively and efficiently with a human user they have to learn their interests, habits, and preferences (as well as those of his or her communities) (Maes1994b). In an online shopping scenario advocate agents will be able to generate recommendations as to what to buy (product-brokering) and from whom to buy (merchant-brokering) based on customer criteria.
You can find more information here.