The AAAI 2019 Workshop on Plan, Activity, and Intent Recognition

We are in the process of planning PAIR 2019.
If you would like to be involved please get in touch with one of the 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 multi-agent systems, natural language understanding, and machine learning. It plays a crucial role in a wide variety of applications including: assistive technology, software assistants, computer and network security, behavior recognition, coordination in robots and software agents, and more.

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, opportunities for synthesis and unification of representations and algorithms for plan recognition.

Keynote Speakers: TBA


Sarah Keren, Primary contact (Technion University, sarahn@campus.technion.ac.il),
Reuth Mirsky, (Ben-Gurion University, dekelr@post.bgu.ac.il),
Christopher Geib (SIFT LLC, cgeib@sift.net)

Program Committee:

David Aha (NRL),
Ya'akov (Kobi) Gal (Ben-Gurion University),
Robert Goldman (SIFT LLC),
Froduald Kabanza (University of Sherbrooke),
Erez Karpas (Technion University),
Felipe Meneguzzi (Pontifícia Universidade Católica do Rio Grande do Sul),
David Pynadath (ICT University of Southern California),
Matthew Stone (Rutgers Unviversity),
Gita Sukthankar (University of Central Florida),
William Yeoh (Washington University in St. Louis),
Shlomo Zilberstein (University of Massachusetts),