Modeling Others from Observations
Papers from the AAAI Workshop
Gal Kaminka, David Pynadath, and Christopher Geib, Cochairs
Modeling others from observations involves recognizing, inferring, and reasoning about their plans, goals, and activities, based only on observations of their behavior. This is a synergistic area of research combining and unifying techniques in plan recognition, activity recognition, user modeling, intelligent user interfaces, human/computer interaction, autonomous and multi agent systems, natural language understanding, and machine learning. The observed actors may be software, robots, or humans. The modeling system may observe their interaction with the environment, and with each other.
There has been a significant increase in work in this area because it plays a crucial role in a wide variety of applications including sSoftware assistants for work related tasks, assistive living and others; observation-based coordination in robots and software agents; and physical, computer, and critical infrastructure security
This widespread 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.