Interactions in Multiagent Systems
Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, General Computing
| Author: | Jianye Hao, Ho-Fung Leung | ISBN: | 9789813208759 |
| Publisher: | World Scientific Publishing Company | Publication: | July 30, 2018 |
| Imprint: | WSPC | Language: | English |
| Author: | Jianye Hao, Ho-Fung Leung |
| ISBN: | 9789813208759 |
| Publisher: | World Scientific Publishing Company |
| Publication: | July 30, 2018 |
| Imprint: | WSPC |
| Language: | English |
This compendium covers several important topics related to multiagent systems, from learning and game theoretic analysis, to automated negotiation and human-agent interaction. Each chapter is written by experienced researchers working on a specific topic in mutliagent system interactions, and covers the state-of-the-art research results related to that topic.
The book will be a good reference material for researchers and graduate students working in the area of artificial intelligence/machine learning, and an inspirational read for those in social science, behavioural economics and psychology.
Sample Chapter(s)
Chapter 1: Scalability of Multiagent Reinforcement Learning
Contents:
- Scalability of Multiagent Reinforcement Learning (Yunkai Zhuang, Yujing Hu and Hao Wang)
- Centralization or Decentralization? A Compromising Solution Toward Coordination in Multiagent Systems (Chao Yu, Hongtao Lv, Hongwei Ge, Liang Sun, Jun Meng and Bingcai Chen)
- Making Efficient Reputation-Aware Decisions in Multiagent Systems (Han Yu, Chunyan Miao, Bo An, Zhiqi Shen and Cyril Leung)
- Decision-Theoretic Planning in Partially Observable Environments (Zongzhang Zhang and Mykel Kochenderfer)
- Multiagent Reinforcement Learning Algorithms Based on Gradient Ascent Policy (Chengwei Zhang, Xiaohong Li, Zhiyong Feng and Wanli Xue)
- Task Allocation in Multiagent Systems: A Survey of Some Interesting Aspects (Jun Wu, Lei Zhang, Yu Qiao and Chongjun Wang)
- Automated Negotiation: An Efficient Approach to Interaction Among Agents (Siqi Chen and Gerhard Weiss)
- Norm Emergence in Multiagent Systems (Tianpei Yang, Jianye Hao, Zhaopeng Meng and Zan Wang)
- Diffusion Convergence in the Collective Interactions of Large-scale Multiagent Systems (Yichuan Jiang, Yifeng Zhou, Fuhan Yan and Yunpeng Li)
- Incorporating Inference into Online Planning in Multiagent Settings (Yingke Chen, Prashant Doshi, Jing Tang and Yinghui Pan)
Readership: Researchers, academics, professionals and graduate students in artificial intelligence and machine learning.
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This compendium covers several important topics related to multiagent systems, from learning and game theoretic analysis, to automated negotiation and human-agent interaction. Each chapter is written by experienced researchers working on a specific topic in mutliagent system interactions, and covers the state-of-the-art research results related to that topic.
The book will be a good reference material for researchers and graduate students working in the area of artificial intelligence/machine learning, and an inspirational read for those in social science, behavioural economics and psychology.
Sample Chapter(s)
Chapter 1: Scalability of Multiagent Reinforcement Learning
Contents:
- Scalability of Multiagent Reinforcement Learning (Yunkai Zhuang, Yujing Hu and Hao Wang)
- Centralization or Decentralization? A Compromising Solution Toward Coordination in Multiagent Systems (Chao Yu, Hongtao Lv, Hongwei Ge, Liang Sun, Jun Meng and Bingcai Chen)
- Making Efficient Reputation-Aware Decisions in Multiagent Systems (Han Yu, Chunyan Miao, Bo An, Zhiqi Shen and Cyril Leung)
- Decision-Theoretic Planning in Partially Observable Environments (Zongzhang Zhang and Mykel Kochenderfer)
- Multiagent Reinforcement Learning Algorithms Based on Gradient Ascent Policy (Chengwei Zhang, Xiaohong Li, Zhiyong Feng and Wanli Xue)
- Task Allocation in Multiagent Systems: A Survey of Some Interesting Aspects (Jun Wu, Lei Zhang, Yu Qiao and Chongjun Wang)
- Automated Negotiation: An Efficient Approach to Interaction Among Agents (Siqi Chen and Gerhard Weiss)
- Norm Emergence in Multiagent Systems (Tianpei Yang, Jianye Hao, Zhaopeng Meng and Zan Wang)
- Diffusion Convergence in the Collective Interactions of Large-scale Multiagent Systems (Yichuan Jiang, Yifeng Zhou, Fuhan Yan and Yunpeng Li)
- Incorporating Inference into Online Planning in Multiagent Settings (Yingke Chen, Prashant Doshi, Jing Tang and Yinghui Pan)
Readership: Researchers, academics, professionals and graduate students in artificial intelligence and machine learning.
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