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EXTRAAMAS@AAMAS 2020: Auckland, New Zealand

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Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling:
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 12175, Springer 2020, ISBN 978-3-030-51923-0

Explainable Agents

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Giovanni Ciatto, Michael Ignaz Schumacher, Andrea Omicini, Davide Calvaresi:
Agent-Based Explanations in AI: Towards an Abstract Framework. 3-20
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Francesca Mosca, Stefan Sarkadi, Jose M. Such, Peter McBurney:
Agent EXPRI: Licence to Explain. 21-38
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Francesco Alzetta, Paolo Giorgini, Amro Najjar, Michael Ignaz Schumacher, Davide Calvaresi:
In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap. 39-53

Cross Disciplinary XAI

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Kary Främling:
Decision Theory Meets Explainable AI. 57-74
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Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith:
Towards the Role of Theory of Mind in Explanation. 75-93
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Lindsay M. Sanneman, Julie A. Shah:
A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI. 94-110

Explainable Machine Learning

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Klaus Weber, Lukas Tinnes, Tobias Huber, Alexander Heimerl, Marc-Leon Reinecker, Eva Pohlen, Elisabeth André:
Towards Demystifying Subliminal Persuasiveness: Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches. 113-128
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Avleen Malhi, Samanta Knapic, Kary Främling:
Explainable Agents for Less Bias in Human-Agent Decision Making. 129-146

Demos

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Yazan Mualla, Timotheus Kampik, Igor Haman Tchappi, Amro Najjar, Stéphane Galland, Christophe Nicolle:
Explainable Agents as Static Web Pages: UAV Simulation Example. 149-154

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