Modeling Other Agents from Observations
			       MOO 2004

	     A one-day workshop to be held as part of the

		  International Joint Conference on
	      Autonomous Agents and Multi-Agent Systems
			      July 19, 2004

Purpose and Scope:
------------------
Modeling other   agents  from  observations  involves   learning   and
reasoning  about agents based only  on observations of their behavior,
i.e., their interaction with the environment  and with each other. The
observed agents may be synthetic software  agents, physical robots, or
humans.

Given observations  of the actions  (or other observable  features) of
agents,  a modeling  agent's task  is to  infer their  beliefs, plans, 
intentions, goals,  etc.  This  is a synergistic  area of  research in
autonomous  agents  and multi-agent  systems,  combining and  unifying
techniques  of  plan  recognition,  user  modeling,  intelligent  user
interfaces,     human/computer    interaction,     natural    language
understanding,  machine  learning,  and intention  recognition.  Agent
modeling  plays  a crucial  role  in  application  areas ranging  from
e-commerce  and collaborative  filtering, to  software  assistants, to
observation-based  coordination  in  robots  and software  agents,  to
overhearing and imitation.  This wide-spread diversity of applications
and disciplines,  while producing a  wealth of ideas and  results, has
unfortunately   contributed  to   fragmentation  in   the   field,  as
researchers publish  relevant results in  a wide spectrum  of journals
and conferences.

This workshop seeks to bring together researchers and practitioners of
agent modeling from diverse backgrounds,  to share in ideas and recent
results. It will aim to  identify important research directions and to
identify  opportunities for  synthesis and  unification.  The workshop
will  especially  emphasize a  discussion  of  challenges and  trends:
Reasoning  with incomplete  or  incorrect knowledge  of others,  agent
modeling on the web and in open multi-agent systems, modeling multiple
agents and  the interactions between them,  inferring the capabilities
of agents from observations, and using agent modeling for coordination
and  teamwork. Contributions  are  sought in  the  following areas  of
research:

  * Plan recognition, behavior recognition
  * Adversarial planning, opponent modeling
  * Modeling multiple agents, in groups and teams
  * User modeling on the web and in intelligent user interfaces
  * Acquaintance models
  * Agent modeling in marketplaces and e-commerce
  * Agent tracking
  * Plan recognition in dialog systems, natural language understanding
  * Intelligent tutoring systems (ITS)
  * Machine learning for plan recognition and user modeling
  * Personal software assistants
  * Social network learning and analysis
  * Monitoring agent conversations (overhearing)
  * Observation-based coordination and collaboration (teamwork)
  * Multi-agent plan recognition
  * Observation-based failure detection 
  * Monitoring multi-agent interactions 
  * Uncertainty reasoning for plan recognition
  * Intent inference and Intent recognition
  * Commercial applications of user modeling and plan recognition
  * Representations for agent modeling
  * Modeling social interactions between observed agents
  * Inferring emotional states
  * Applications in security and suspicious behavior recognition
  * Reverse engineering and program recognition
  * Programming by demonstration
  * Imitation

Due to the diversity of disciplines engaging in modeling agents based
on observations, contributions in other fields are also welcome.

Format:
-------
The  workshop will  consist  of a  series  of research  presentations,
organized  into  topical  sessions  (topics  to be  decided  based  on
submissions).  An  interdisciplinary  panel  is  planned,  seeking  to
highlight   research  contributions   and   challenges  unifying   and
differentiating the different sub-areas.

This will be a full-day workshop.

Submissions:
------------ 
We seek  novel research contributions  in all areas of  modeling other
agents.   Syntheses and  survey papers  are welcome,  as long  as they
offer a fresh perspective on the field.

Submissions should  follow the  AAMAS-04 paper format.  Authors should
submit  papers electronically  (in PS  or PDF  format) to  Gal Kaminka
(galk@cs.biu.ac.il).   The subject-line  of the  submission  should be
"MOO-04 Submission".


Dates:
------
  Papers due         April 1, 2004
  Notifications      May  1, 2004   
  Camera-ready due   May 10, 2004    
  Workshop	     July 19, 2004


Organizing Committee:
---------------------
Gal A. Kaminka (chair), Bar Ilan University, Israel	galk@cs.biu.ac.il
Piotr Gmytrasiewicz, University of Illinois, Chicago	piotr@cs.uic.edu
David Pynadath, ISI/University of Southern California	pynadath@isi.edu
Mathias Bauer, DFKI, Germany				bauer@dfki.de