02698nam 2200481 450 99651775340331620230730235823.03-031-25549-610.1007/978-3-031-25549-6(MiAaPQ)EBC7218136(Au-PeEL)EBL7218136(OCoLC)1373987520(DE-He213)978-3-031-25549-6(PPN)269092471(EXLCZ)992630524040004120230730d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDistributed artificial intelligence 4th international conference, DAI 2022, Tianjin, China, December 15-17, 2022, proceedings /Makoto Yokoo [and three others], editors1st ed. 2023.Cham, Switzerland :Springer Nature Switzerland AG,[2023]©20231 online resource (112 pages)Lecture Notes in Artificial Intelligence,2945-9141 ;13824Print version: Yokoo, Makoto Distributed Artificial Intelligence Cham : Springer,c2023 9783031255489 Includes bibliographical references and index.A Distributed RBF-Assisted Differential Evolution for Distributed Expensive Constrained Optimization -- A Flexi Partner Selection Model for the Emergence of Cooperation in N-person Social Dilemmas -- Efficient Deep Reinforcement Learning via Policy-extended Successor Feature Approximator -- Maximal Information Propagation with Limited Resources -- Optimistic Exploration based on Categorical-DQN for Cooperative Markov games.This book constitutes the refereed proceedings of the 4th International Conference on Distributed Artificial Intelligence, DAI 2022, held in Tianjin, China, in December 2022. The 5 full papers presented in this book were carefully reviewed and selected from 12 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI. .Lecture Notes in Artificial Intelligence,2945-9141 ;13824Distributed artificial intelligenceCongressesDistributed artificial intelligence006.30285436Yokoo MakotoMiAaPQMiAaPQMiAaPQBOOK996517753403316Distributed artificial intelligence885012UNISA