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Explainable, Transparent Autonomous Agents and Multi-Agent Systems

Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9–13, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Davide Calvaresi

    1. University of Applied Sciences Western Switzerland, Sierre, Switzerland

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  2. Amro Najjar

    1. University of Luxembourg, Esch-sur-Alzette, Luxembourg

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  3. Michael Winikoff

    1. Victoria University of Wellington, Wellington, New Zealand

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  4. Kary Främling

    1. Umeå University, Umeå, Sweden

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12175)

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

Included in the following conference series:

Conference proceedings info: EXTRAAMAS 2020.

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Table of contents (9 papers)

  1. Front Matter

    Pages i-x
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  2. Explainable Agents

    1. Front Matter

      Pages 1-1
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    2. Agent-Based Explanations in AI: Towards an Abstract Framework

      • Giovanni Ciatto, Michael I. Schumacher, Andrea Omicini, Davide Calvaresi
      Pages 3-20

    3. Agent EXPRI: Licence to Explain

      • Francesca Mosca, Ştefan Sarkadi, Jose M. Such, Peter McBurney
      Pages 21-38

    4. In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap

      • Francesco Alzetta, Paolo Giorgini, Amro Najjar, Michael I. Schumacher, Davide Calvaresi
      Pages 39-53

  3. Cross Disciplinary XAI

    1. Front Matter

      Pages 55-55
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    2. Decision Theory Meets Explainable AI

      • Kary Främling
      Pages 57-74

    3. Towards the Role of Theory of Mind in Explanation

      • Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith
      Pages 75-93

    4. A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI

      • Lindsay Sanneman, Julie A. Shah
      Pages 94-110

  4. Explainable Machine Learning

    1. Front Matter

      Pages 111-111
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    2. Towards Demystifying Subliminal Persuasiveness: Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches

      • Klaus Weber, Lukas Tinnes, Tobias Huber, Alexander Heimerl, Marc-Leon Reinecker, Eva Pohlen et al.
      Pages 113-128

    3. Explainable Agents for Less Bias in Human-Agent Decision Making

      • Avleen Malhi, Samanta Knapic, Kary Främling
      Pages 129-146

  5. Demos

    1. Front Matter

      Pages 147-147
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    2. Explainable Agents as Static Web Pages: UAV Simulation Example

      • Yazan Mualla, Timotheus Kampik, Igor H. Tchappi, Amro Najjar, Stéphane Galland, Christophe Nicolle
      Pages 149-154

  6. Back Matter

    Pages 155-155
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  1. Explainable, Transparent Autonomous Agents and Multi-Agent Systems

Keywords

About this book

This book constitutes the proceedings of the Second International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2020, which was due to be held in Auckland, New Zealand, in May 2020. The conference was held virtually due to the COVID-19 pandemic.


The 8 revised and extended papers were carefully selected from 20 submissions and are presented here with one demo paper. The papers are organized in the following topical sections: explainable agents; cross disciplinary XAI; explainable machine learning; demos.

Editors and Affiliations

  • University of Applied Sciences Western Switzerland, Sierre, Switzerland

    Davide Calvaresi

  • University of Luxembourg, Esch-sur-Alzette, Luxembourg

    Amro Najjar

  • Victoria University of Wellington, Wellington, New Zealand

    Michael Winikoff

  • Umeå University, Umeå, Sweden

    Kary Främling

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