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Distributed Artificial Intelligence

Third International Conference, DAI 2021, Shanghai, China, December 17–18, 2021, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Jie Chen

    1. Tongji University, Shanghai, China

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  2. Jérôme Lang

    1. Lamsade Bureau, Université Paris-Dauphine, Paris Cedex 16, France

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  3. Christopher Amato

    1. Khoury College of Computer Sciences, Northeastern University, Boston, USA

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  4. Dengji Zhao

    1. ShanghaiTech University, Shanghai, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13170)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: DAI 2021.

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Table of contents (15 papers)

  1. Front Matter

    Pages i-viii
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  2. The Power of Signaling and Its Intrinsic Connection to the Price of Anarchy

    • Jamie Nachbar, Haifeng Xu
    Pages 1-20

  3. Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning

    • Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
    Pages 21-37

  4. SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition

    • Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu et al.
    Pages 38-51

  5. BGC: Multi-agent Group Belief with Graph Clustering

    • Tianze Zhou, Fubiao Zhang, Pan Tang, Chenfei Wang
    Pages 52-63

  6. Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics

    • Atena M. Tabakhi, William Yeoh, Roie Zivan
    Pages 64-78

  7. Securities Based Decision Markets

    • Wenlong Wang, Thomas Pfeiffer
    Pages 79-92

  8. MARL for Traffic Signal Control in Scenarios with Different Intersection Importance

    • Liguang Luan, Yu Tian, Wanqing Fang, Chengwei Zhang, Wanli Xue, Rong Chen et al.
    Pages 93-106

  9. Safe Distributional Reinforcement Learning

    • Jianyi Zhang, Paul Weng
    Pages 107-128

  10. The Positive Effect of User Faults over Agent Perception in Collaborative Settings and Its Use in Agent Design

    • Reut Asraf, Chen Rozenshtein, David Sarne
    Pages 129-149

  11. Behavioral Stable Marriage Problems

    • Andrea Martin, Kristen Brent Venable, Nicholas Mattei
    Pages 150-170

  12. FUN-Agent: A HUMAINE Competitor

    • Robert Geraghty, James Hale, Sandip Sen
    Pages 171-184

  13. Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

    • Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang et al.
    Pages 185-205

  14. A Description of the Jadescript Type System

    • Giuseppe Petrosino, Eleonora Iotti, Stefania Monica, Federico Bergenti
    Pages 206-220

  15. Combining M-MCTS and Deep Reinforcement Learning for General Game Playing

    • Sili Liang, Guifei Jiang, Yuzhi Zhang
    Pages 221-234

  16. A Two-Step Method for Dynamics of Abstract Argumentation

    • Xiaoxin Jing, Xudong Luo
    Pages 235-246

  17. Back Matter

    Pages 247-247
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  1. Distributed Artificial Intelligence

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About this book

This book constitutes the refereed proceedings of the Third International Conference on Distributed Artificial Intelligence, DAI 2021, held in Shanghai, China, in December 2021.

The 15 full papers presented in this book were carefully reviewed and selected from 31 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.

Editors and Affiliations

  • Tongji University, Shanghai, China

    Jie Chen

  • Lamsade Bureau, Université Paris-Dauphine, Paris Cedex 16, France

    Jérôme Lang

  • Khoury College of Computer Sciences, Northeastern University, Boston, USA

    Christopher Amato

  • ShanghaiTech University, Shanghai, China

    Dengji Zhao

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