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Distributed Artificial Intelligence : Third International Conference, DAI 2021, Shanghai, China, December 17–18, 2021, Proceedings / edited by Jie Chen, Jérôme Lang, Christopher Amato, Dengji Zhao.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024)
Format:
Book
Contributor:
Zhao, Dengji, Editor.
Amato, Christopher, Editor.
Chen, Jie, Editor.
Lang, Jérôme, Editor.
Series:
Lecture Notes in Artificial Intelligence, 2945-9141 ; 13170
Language:
English
Subjects (All):
Artificial intelligence.
Application software.
User interfaces (Computer systems).
Human-computer interaction.
Computer science--Mathematics.
Computer engineering.
Computer networks.
Social sciences--Data processing.
Artificial Intelligence.
Computer and Information Systems Applications.
User Interfaces and Human Computer Interaction.
Mathematics of Computing.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Local Subjects:
Artificial Intelligence.
Computer and Information Systems Applications.
User Interfaces and Human Computer Interaction.
Mathematics of Computing.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Physical Description:
1 online resource (256 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
Summary:
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.
Contents:
The Power of Signaling and its Intrinsic Connection to the Price of Anarchy
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning
SEIHAI: A Sample-effcient Hierarchical AI for the MineRL Competition
GC: Multi-Agent Group Belief with Graph Clustering
Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics
Securities Based Decision Markets
MARL for Traffc Signal Control in Scenarios with Different Intersection Importance
Safe Distributional Reinforcement Learning
The Positive Effect of User Faults over Agent Perception in Collaborative Settings and its Use in Agent Design
Behavioral Stable Marriage Problems
FUN-Agent: a HUMAINE Competitor
Signal Instructed Coordination in Cooperative Multi-Agent Reinforcement Learning
A Description of the Jadescript Type System
Combining M-MCTS and Deep Reinforcement Learning for General Game Playing
A Two-Step Method for Dynamics of Abstract Argumentation.
Notes:
Includes bibliographical references and index.
Other Format:
Print version: Chen, Jie Distributed Artificial Intelligence
ISBN:
3-030-94662-2
OCLC:
1292348682

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