Autonomous Agents and Multiagent Systems. Best and Visionary Papers〈1st ed. 2022〉 : AAMAS 2022 Workshops, Virtual Event, May 9–13, 2022, Revised Selected Papers

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Autonomous Agents and Multiagent Systems. Best and Visionary Papers〈1st ed. 2022〉 : AAMAS 2022 Workshops, Virtual Event, May 9–13, 2022, Revised Selected Papers

  • 著者名:Melo, Francisco S. (EDT)/Fang, Fei (EDT)
  • 価格 ¥11,129 (本体¥10,118)
  • Springer(2022/11/05発売)
  • 春分の日の三連休!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/22)
  • ポイント 3,030pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9783031201783
  • eISBN:9783031201790

ファイル: /

Description

This book constitutes thoroughly refereed and revised selected best and visionary papers from the Workshops held at the International Conference on Autonomous Agents and Multiagent Systems AAMAS 2022, which took place online, during  May 9–13, 2022.


The 5 best papers and 4 visionary papers included in this book stem from the following workshops:
 
- 13th Workshop on Optimization and Learning in Multi-agent Systems (OptLearnMAS);
- 23rd Workshop on Multi-Agent Based Simulation (MABS);
- 6th Workshop on Agent-Based Modelling of Urban Systems (ABMUS);
- 10th Workshop on Engineering Multi-Agent Systems (EMAS);
- 1st Workshop on Rebellion and Disobedience in AI (RaD-AI).

There was a total of 59 submissions to these workshops. 

Table of Contents

Best Papers.- TOPS: Transition-based volatility-reduced policy search.- School's out? Simulating schooling strategies during COVID-19.- Data-driven agent-based model development to support human-centric TOD design.- Enabling negotiating agents to explore very large outcome spaces.- Purposeful failures as a form of culturally-appropriate intelligent disobedience during human-robot social interaction.- Visionary Papers.- An agent-based model of horizontal mergers.- Multi-agent traffic signal control via distributed RL with spatial and temporal feature extraction.- About digital twins, agents, and multiagent systems: A cross-fertilisation journey.- Only those who can obey can disobey: The intentional implications of artificial agent disobedience.


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