• Media type: E-Book; Conference Proceedings
  • Title: Explainable, Transparent Autonomous Agents and Multi-Agent Systems : Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9–13, 2020, Revised Selected Papers
  • Contributor: Calvaresi, Davide [HerausgeberIn]; Najjar, Amro [HerausgeberIn]; Winikoff, Michael [HerausgeberIn]; Främling, Kary [HerausgeberIn]
  • imprint: Cham: Springer International Publishing, 2020.
    Cham: Imprint: Springer, 2020.
  • Published in: Lecture Notes in Artificial Intelligence ; 12175
    Springer eBook Collection
  • Issue: 1st ed. 2020.
  • Extent: 1 Online-Ressource(X, 155 p. 63 illus., 27 illus. in color.)
  • Language: English
  • DOI: 10.1007/978-3-030-51924-7
  • ISBN: 9783030519247
  • Identifier:
  • RVK notation: SS 4800 : Lecture notes in computer science
  • Keywords: Autonomes System > Mehragentensystem
  • Origination:
  • Footnote:
  • Description: Explainable Agents -- Agent-Based Explanations in AI: Towards an Abstract Framework -- Agent EXPRI: Licence to Explain -- In-time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap -- Cross Disciplinary XAI -- Decision Theory Meets Explainable AI -- Towards the Role of Theory of Mind in Explanation -- A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI -- Explainable Machine Learning -- Towards Demystifying Subliminal Persuasiveness - Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches -- Explainable Agents for Less Bias in Human-Agent Decision Making -- Demos -- Explainable Agents as Static Web Pages: A UAV Simulation Example.

    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.