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Engineering Multi-Agent Systems

12th International Workshop, EMAS 2024, Auckland, New Zealand, May 6–7, 2024, Revised Selected Papers

  • Conference proceedings
  • Nov 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15152)

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

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About this book

This book constitutes the revised selected papers from the 12th International Workshop on Engineering Multi-Agent Systems, EMAS 2024, held in Auckland, New Zealand, during May 6–7, 2024.

 

The 7 full papers and 4 short papers included in this book were carefully reviewed and selected from a total of 18 submissions. These papers focus on topics such as agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning.

Keywords

  • engineering autonomous systems
  • multi-agent systems
  • belief-desire-intention agents
  • agent design
  • agent-based development
  • explainability
  • trust
  • correctness
  • multi-agent testing
  • cognitive agents
  • agent-oriented programming
  • multi-agent reinforcement learning
  • autonomous decision-making
  • agent-oriented software engineering

Editors and Affiliations

  • University of Milano-Bicocca, Milan, Italy

    Daniela Briola

  • University of Aberdeen, Aberdeen, United Kingdom

    Rafael C. Cardoso

  • Utrecht University, Utrecht, The Netherlands

    Brian Logan

Bibliographic Information

  • Book Title: Engineering Multi-Agent Systems

  • Book Subtitle: 12th International Workshop, EMAS 2024, Auckland, New Zealand, May 6–7, 2024, Revised Selected Papers

  • Editors: Daniela Briola, Rafael C. Cardoso, Brian Logan

  • Series Title: Lecture Notes in Computer Science

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-71151-0Due: 28 November 2024

  • eBook ISBN: 978-3-031-71152-7Due: 28 November 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 193

  • Number of Illustrations: 44 b/w illustrations

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