[ai-robotics] [CFP] AAAI24 Workshop on Cooperative Multi-Agent Systems Decision-Making and Learning: From Individual Needs to Swarm Intelligence

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Rick Yang

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Oct 8, 2023, 2:41:32 PM10/8/23
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Dear Colleagues,

We are happy to announce that the 1st workshop, "Cooperative Multi-Agent Systems Decision-Making and Learning: From Individual Needs to Swarm Intelligence", will be held on AAAI 2024 at Vancouver, Feb. 26, 2024. sincerely invite you to share your project with us and the broader community via submitting a paper contribution or an extended abstract to our workshop.

ABOUT
The main interest of this workshop is the technique of modeling cooperative multi-agent systems (MAS) decision-making and learning from the cognitive modeling perspective. 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.


IMPORTANT DATES:

Paper Submission Deadline: Nov. 24, 2023

Acceptance Notification: Dec. 11, 2023

Camera-ready paper: Jan. 15, 2024

Paper Presentation: Feb 26, 2024


TOPIC:

  • MAS cognitive modeling
  • Intrinsically motivated AI agent modeling in MAS
  • Innate-values-driven reinforcement learning
  • MAS deep 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
  • Consensus in MAS collaboration
  • Trust based MAS decision-making and learning
  • Trustworthy AI agents in Human-robot interaction
  • Cognitive model application in intelligent social systems


SUBMISSION:
We welcome contributions of both short (2-4 pages) and long papers (6-8 pages) related to our stated vision in the AAAI 2024 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).

PUBLICATION & ATTENDANCE:
Virtual attendance will be available to everyone who has registered for the workshop. Authors are NOT allowed to present virtually. 
All accepted papers will be given the opportunity to be presented in the workshop. These non-archival papers and their corresponding posters will remain available on this website after the workshop. The authors will retain copyright of their papers.

WORKSHOP COMMITTEE:
  • Matthew E. Taylor, University of Alberta
  • Marco Pavone, Stanford University
  • Peter Stone, University of Texas at Austin
  • Carlo Pinciroli, Worcester Polytechnic Institute
  • Qin Yang, Bradley University
  • Rui Liu, Kent State University
MAIN CONTACT:
Qin Yang
Affiliation: Computer Science and Information Systems Department,
                    Bradley University
=============================================================
Thank you very much,

Daniela Rus, Massachusetts Institute of Technology

Alan Mackworth, University of British Columbia

Katia Sycara, Carnegie Mellon University

Maria Gini, University of Minnesota Twin Cities 

Brian Scassellati, Yale University

Michael L. Littman, Brown University

Sven Koenig, University of Southern California

Bo An, Nanyang Technological University

Marco Dorigo, Universite ́ Libre de Bruxelles (ULB) 

Matthias Scheutz, Tufts University 

Christopher Amato, Northeastern University 

**********************************************************

Dr. Qin (Rick) Yang | Assistant Professor
Director, Intelligent Social Systems and Swarm Robotics Lab (IS3R),
Computer Science and Information Systems Department, Bradley University
Address: 1501 W Bradley Ave, Peoria, IL 61625
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