The AAAI 2018 Workshop on Plan, Activity, and Intent Recognition

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. This year's workshop will be centered on application domains. This will include a focused discussion where we will present compare the various representations common in the literature and applications. We believe this will work to help identify areas of synergy between different communities and to provide opportunities and incentives for future work.

Contributions are sought in the following areas:

Related contributions in other fields, are also welcome.


We welcome submissions describing either relevant work or proposals for discussion topics that will be of interest to the workshop. Submissions are accepted in PDF format only, using the AAAI formatting guidelines. Submissions must be no longer than eight pages in length, with the last page including only references and figures. Submission will be done through easychair, and can be found by clicking this link. Questions about submissions can be emailed to dekelr@post.bgu.ac.il


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