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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 de Davide Calvaresi

Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9–13, 2020, Revised Selected Papers: Lecture Notes in Computer Science, cartea 12175

Editat de Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling
en Limba Engleză Paperback – 7 iul 2020
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.
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Specificații

ISBN-13: 9783030519230
ISBN-10: 3030519236
Pagini: 155
Ilustrații: X, 155 p. 63 illus., 27 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

​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.