PAIR-21: Plan, Activity and Intent Recognition The Thirty-Fifth AAAI Conference on Artificial Intelligence February 9, 2021 |
| Conference website | http://www.planrec.org/PAIR/Resources.html |
| Submission link | https://easychair.org/conferences/?conf=pair21 |
| Abstract registration deadline | November 16, 2020 |
| Submission deadline | November 16, 2020 |
| Notification deadline | November 30, 2020 |
AAAI-21 Workshop on Plan Activity and Intent Recognition (PAIR 2021) held at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21).
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
- E-commerce and collaborative filtering
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers We accept full paper submissions. Papers must be formatted in AAAI two-column, camera-ready style; see the 2021 author kit for details: http://www.aaai.org/Publications/Templates/AuthorKit21.zip Submissions may have up to 7 pages with up to additional two pages containing nothing but references.
- Demos This year the PAIR workshop will include an online demo track. Authors are required to submit two items: (1) a 2-page short paper describing their system, formatted in AAAI two-column style, and (2) a video (of duration up to 10 minutes) of the proposed demonstration. Slides are also permitted in lieu of video, but greater weight will be given to submissions accompanied by videos. The paper must present the technical details of the demonstration, discuss related work, and describe the significance of the demonstration. We welcome submission of demos submitted to the demo session of the main conference. Please upload the video and share the link to its location in the paper you are submitting.
The demo track will be chaired by Ramon Fraga Pereira and Christabel Wayllace. Questions regarding demos should be referred to ramonfpereira@gmail.com or cwayllace@wustl.edu.
List of Topics
- Plan, activity, intent, or behavior recognition
- Adversarial planning, opponent modeling
- Modeling multiple agents, modeling teams
- User modeling on the web and in intelligent user interfaces
- Acquaintance models
- Plan recognition and user modeling in marketplaces and e-commerce
- Intelligent tutoring systems (ITS)
- Machine learning for plan recognition and user modeling
- Personal software assistants
- Social network learning and analysis
- Monitoring agent conversations (overhearing)
- Observation-based coordination and collaboration (teamwork)
- Multi-agent plan recognition
- Observation-based failure detection
- Monitoring multi-agent interactions
- Uncertainty reasoning for plan recognition
- Commercial applications of user modeling and plan recognition
- Representations for agent modeling
- Modeling social interactions
- Inferring emotional states
- Reverse engineering and program recognition
- Programming by demonstration
- Imitation
Invited Speakers
- Prof. Barbara Grosz
- Prof. Peter Stone
Contact
Dr. Sarah Keren (primary contact)
Harvard University,
School of Engineering and Applied Sciences
Cambridge, MA
Email: sarah.e.keren@gmail.com or skeren@seas.harvard.edu
Dr. Reuth Mirsky
University of Texas at Austin
Department of Computer Science
Austin, TX
Email: reuth@cs.utexas.edu
Dr. Christopher Geib
SIFT LLC
319 1st Ave. North, Suite 400
Minneapolis MN 55401-1689
Email: cgeib@sift.net
All questions about submissions should be emailed to Sarah Keren at sarah.e.keren@gmail.co