AAAI 2025 CMASDL Workshop is one day workshop holding in AAAI 2025 conference. The main interest of this workshop is the topic of decision-making and learning in human-multi-agent cooperation from the cognitive modeling perspective. This workshop aims to bring researchers in different communities together to present their research, discuss future research directions, and cross-fertilize the different communities. Researchers and practitioners whose research might apply to cooperative MAS decision-making and learning or who might be able to use those techniques in their research are welcome. The workshop will consist of invited speakers, presentations from researchers with original research papers, and poster sessions. We hope that through our multi-faceted workshop and the talks of our expert speakers, we can attract the interest of the AI and robotics community in research challenges specific to cooperative MAS decision-making and learning.

Submission Guidelines

Submissions can contain relevant work in all possible stages, including recently published work, is under submission elsewhere, was only recently finished, or is still ongoing. Authors of papers published or under submission elsewhere are encouraged to submit these papers or short versions (including abstracts) to the workshop, educating other researchers about their work, as long as resubmissions are clearly labeled to avoid copyright violations.

We welcome contributions of both short (2-4 pages) and long papers (6-8 pages) related to our stated vision in the AAAI 2025 proceedings format. Position papers and surveys are also welcome. The contributions will be non-archival but will be hosted on our workshop website. All contributions will be peer reviewed (single-blind).

Acceptance papers will be made publicly available on the workshop website. These non-archival papers and their corresponding posters will also remain available on this website after the workshop. The authors will retain copyright of their papers.

List of Topics

• Human-multi-agent cognitive modeling
• Human-multi-agent trust networks
• Trustworthy AI agents in Human-robot interaction
• Trust based Human-MAS decision-making and learning
• Consensus in Human-MAS collaboration
• Intrinsically motivated AI agent modeling in Human-MAS
• Innate-values-driven reinforcement learning
• Multi-Object MAS decision-making and learning
• Adaptive learning with social rewards
• Cognitive models in swarm intelligence and robotics
• Game-theoretic approaches in MAS decision-making
• Cognitive model application in intelligent social systems

Committees

Program Committee

• Matthew E. Taylor

• Affiliation: Computer Science Department,

            University of Alberta

   

• Marco Pavone

• Affiliation: Aeronautics and Astronautics Department,

            Stanford University

   

• Peter Stone

• Affiliation: Department of Computer Science,

                    University of Texas at Austin

   

• Carlo Pinciroli

• Affiliation: Robotics Engineering Department,

                    Worcester Polytechnic Institute

Organizing committee

• Qin Yang

• Affiliation: Computer Science and Information Systems Department,

            Bradley University

   

• Giovanni Beltrame

• Affiliation: Department of Computer Engineering and Software Engineering,

            Polytechnique Montreal

   

• Alberto Quattrini Li

• Affiliation: Computer Science Department,

            Dartmouth College

   

• Christopher Amato

• Affiliation: Khoury College of Computer Sciences,

            Northeastern University

Venue

The workshop will be held in Pennsylvania Convention Center, Philadelphia, PA, USA, Mar. 03, 2025

Contact

• Qin Yang (Main Contact)

• Email: RickYang2014@gmail.com