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 robot and software agents
• E-commerce and collaborative filtering

This wide-spread diversity of applications and disciplines, while producing a wealth of ideas and results, has contributed to fragmentation in the field, as researchers publish relevant results in a wide spectrum of journals and conferences.  As there is no commonly accepted conference for this work, the workshop we propose will provide a valuable place to discuss, standardize and improve past work of this sub-field.

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. Contributions of research results are sought in the following areas of:

• 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

Due to the diversity of disciplines engaging in this area, related contributions in other fields, are also welcome.

This year's workshop will be centered around 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.

Submission Guidelines

All papers must be original. If a work was submitted to the main conference as well, it should be written in the title. 

We accept full paper submissions. Papers must be formatted in AAAI two-column, camera-ready style; see the 2017 author kit for details: http://www.aaai.org/Publications/Templates/AuthorKit17.zip

Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5" x 11") paper, using Type 1 or TrueType fonts. 

Submissions are anonymous, and must conform to the AAAI-18 instructions for double-blind review. 

Submissions may have up to 8 pages with page 8 containing nothing but references. The last page of final papers may contain text other than references, but all references in the submitted paper should appear in the final version, unless superseded

Workshop Chairs

• Reuth Mirsky, dekelr@post.bgu.ac.il
  Department of Software & Information Systems Engineering
  Ben-Gurion University
• Sarah Keren, sarahn@technion.ac.il
  Faculty of Industrial Engineering & Management
  Technion – Israel Institute of Technology
• Christopher Geib, cgeib@sift.net
  SIFT LLC

Contact

All questions about submissions should be emailed to Reuth Mirsky at dekelr@post.bgu.ac.il