Plan, Activity, and Intent Recognition
Papers from the 2011 AAAI Workshop
Gita Sukthankar, Hung Bui, Christopher W. Geib, David V. Pynadath Workshop Cochairs
Plan recognition, activity recognition, and intent recognition all involve making inferences about other actors from observations of their behavior, i.e., their interaction with the environment and with each other. The observed actors may be software agents, robots, or humans. This synergistic area of research combines and unifies techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multiagent systems, natural language understanding, and machine learning. It plays a crucial role in a wide variety of applications including smart homes, personal agent assistants, opponent modeling in games and simulation systems, computer and network security, coordination in robots and software agents, video surveillance, and dialog modeling.
This workshop seeks to bring together researchers and practitioners from diverse backgrounds, to share in ideas and recent results. The theme of this year’s workshop will be relating plan recognition to models of human cognition; we especially hope to draw invitees from the cognitive science community. It will aim to identify important research directions and to identify opportunities for synthesis and unification.