Modeling Others from Observations (MOO 2005)
A Workshop at the International Joint Conference on Artificial Intelligence
July 30, 2005, Edinburgh, Scotland.
|Paper submission extended deadline:||April 8, 2005||CLOSED|
|Notification of acceptance:||May 9, 2005||SENT|
|Submission of camera-ready version:||May 23, 2005||CLOSED|
Modeling other actors from observations involves learning and reasoning about actors based only on observations of their behavior, i.e., their interaction with the environment and with each other. The observed actors may be software, robots, or humans. Given observations of the actions (or other observable features) of actors, a modeling system's task is to infer their beliefs, plans, intentions, goals, social commitments, roles, etc. This is a synergistic area of research combining and unifying techniques of plan recognition, intent recognition, user modeling, intelligent user interfaces, human/computer interaction, autonomous and multi agent systems, natural language understanding, and machine learning. Such modeling plays a crucial role in a wide variety of applications including:
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 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. This workshop seeks to bring together researchers and practitioners 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:
Due to the diversity of disciplines engaging in modeling agents based on observations, relevant contributions in other fields are also welcome.
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 IJCAI-05 paper format. Authors should submit papers electronically (in PS or PDF format) to Gal Kaminka (firstname.lastname@example.org). The subject-line of the submission should be "MOO-05 Submission".