AAAI FALL SYMPOSIUM: COMPUTATIONAL THEORY OF MIND FOR HUMAN-MACHINE TEAMS
Humans intuitively combine pre-existing knowledge with observations and contextual clues to construct rich mental models of the world around them and use these models to evaluate goals, perform thought experiments, make predictions, and update their situational understanding. When the environment contains other people, humans use a skill called theory of mind (ToM) to infer their mental states from observed actions and context and predict future actions from those inferred states. When humans form teams, these models can become extremely complex. High-performing teams naturally align key aspects of their models to create shared mental models of their environment, equipment, team, and strategies. ToM and the ability to create shared mental models are key elements of human social intelligence. Together, these two skills form the basis for human collaboration at all scales, whether the setting is a playing field or a military mission. The purpose of this symposium is to bring together researchers from computer science, cognitive science, and social science to discuss the creation of artificial intelligence systems that can generate theory of mind, exhibit social intelligence, and assist human teams.

Topics
Research on artificial social intelligence
Computational theory of mind
Teamwork theories relevant for agent-support systems
Decision making models for teamwork
Collective intelligence models
Machine learning models of theory of mind
Neural networks
Inverse reinforcement learning
Multi-agent reinforcement learning
Nature and timing of agent advice
Natural language studies on team communication

Format
The first day will be devoted to invited talks and paper presentations with subsequent days to be composed of panels and discussion groups. Hybrid attendance will be supported.

Submissions
Please submit via the AAAI FSS-21 EasyChair site. We accept the following types of submissions in AAAI format:
full papers (6-8 pages + references)
short papers (2-4 pages + references)
summaries of previous published papers (1 page)
Position papers about computational theory of mind and artificial social intelligence are welcome, as well as empirical studies. The organizers will invite a subset of submissions to be included either in a Springer volume or journal special issue.

Organizing Committee
Joshua Elliott (DARPA), Nik Gurney (University of Southern California), Guy Hoffman (Cornell), Lixiao Huang (Arizona State University), Ellyn Maese (Gallup), Ngoc Nguyen, (Carnegie Mellon University), Gita Sukthankar (University of Central Florida), Katia Sycara (Carnegie Mellon University)

For More Information
Main Contact: Gita Sukthankar (University of Central Florida), gita.sukthankar@ucf.edu Supplemental Website: https://sites.google.com/view/tomforteams/