Part1 --- AAAI 2024 Workshop: Cooperative Multi-Agent Systems Decision-Making and Learning скачать в хорошем качестве

Part1 --- AAAI 2024 Workshop: Cooperative Multi-Agent Systems Decision-Making and Learning

With the tremendous growth of AI technology, Robotics, IoT, and high-speed wireless sensor networks (like 5G) in recent years, it gradually forms an artificial ecosystem termed artificial social systems that involves entire AI agents from software entities to hardware devices. How to integrate artificial social systems into human society and coexist harmoniously is a critical issue for the sustainable development of human beings. At this point, rational decision-making and efficient learning from multi-agent systems (MAS) interaction are the preconditions to guarantee multi-agent working in safety, balance the group utilities and system costs in the long term, and satisfy group members' needs in their cooperation. The main interest of this workshop is the technique of modeling cooperative MAS decision-making and learning from the cognitive modeling perspective. It 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. Details: Vancouver Convention Centre – Room 121, Vancouver, BC, Canada, Time: Feb. 26, 2024