AGENTS-00/ECML-00 Joint Workshop
on
LEARNING AGENTS
June 3, 2000
Barcelona, Spain


SCHEDULE OF PRESENTATIONS


Organizing committee members:


DESCRIPTION

Machine learning research has matured into an effective tool at the disposition of the designer/developer of intelligent agent based systems. Such agents often work in environments which are at best partially understood and where the domain characteristics or participants change over time. In addition, agents can serve their associated users much more effectively if they are able to capture the unspecified and/or changing preferences of these users.

Another aspect of agent based systems is that they often are situated in a multiagent environment. Agents in such systems have to interact both with associated users and other agents in their environments. Coordination of the activities of multiple agents, whether selfish or cooperative, is essential for the viability of any system in which multiple agents must coexist. Learning and adaptation are invaluable mechanisms by which agents can evolve coordination strategies that meet the demands of the environments and the requirements of individual agents.

The goal of this workshop is to focus on research that will address unique requirements for agents learning and adapting to their environment. Recognizing the applicability and limitations of current machine learning research when applied to situated agents will be of particular relevance to this workshop.

We emphasize three different ways in which machine learning can be used to enhance the performance of an Agent Based System:


Topics of interest

We welcome new insights into these problems from other related disciplines and thus would like to emphasize the inter-disciplinary nature of the workshop. Among others, papers of the following kind are welcome:

Submission Requirements

E-mail the URL of either to Peter Stone at pstone@research.att.com. Papers and statement of interest must be in one of the following formats: postscript, pdf, HTML.

Direct correspondence to:
Peter Stone
AT&T Labs -- Research
Rm. A273
180 Park Ave.
Florham Park, NJ 07932
OFFICE: 973-360-8333
FAX: 973-360-8970
e-mail: pstone@research.att.com
URL: http://www.research.att.com/~pstone


Important Dates

Deadline for paper submission: March 13, 2000
Acceptance notice to participants: March 27, 2000
Camera-ready papers due: April 10, 2000

Sandip Sen's homepage