Interactions in Multiagent Systems

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.
Multiagent System;Game-Theoretic Analysis;Automated Negotiation;Human-Agent Interaction;Social Network Analysis;Norm Emergence00