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Distributed artificial intelligence : 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022, proceedings / Makoto Yokoo, Hong Qiao, Yevgeniy Vorobeychik, Jianye Hao (eds.).

International Conference on Distributed Artificial Intelligence (4th : 2022 : Tianjin, China); Yokoo, Makoto, editor.; Qiao, Hong, editor.; Vorobeychik, Yevgeniy, editor.; Hao, Jianye, editor.
2023
TA347.A78
Available Online
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Title
Distributed artificial intelligence : 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022, proceedings / Makoto Yokoo, Hong Qiao, Yevgeniy Vorobeychik, Jianye Hao (eds.).
Meeting Name
International Conference on Distributed Artificial Intelligence (4th : 2022 : Tianjin, China)
ISBN
9783031255496 (electronic bk.)
3031255496 (electronic bk.)
9783031255489
3031255488
DOI
https://doi.org/10.1007/978-3-031-25549-6
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (ix, 103 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-031-25549-6 doi
Call Number
TA347.A78
Dewey Decimal Classification
006.30285/436
Summary
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. .
Note
International conference proceedings.
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Yokoo, Makoto, editor.
Qiao, Hong, editor.
Vorobeychik, Yevgeniy, editor.
Hao, Jianye, editor.
Series
Lecture notes in computer science ; 13824.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form
Distributed artificial intelligence.
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All Resources
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.

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