Explainable, Transparent Autonomous Agents and Multi-Agent Systems
Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9-13, 2020, Revised Selected Papers
Published on 7. July 2020
X, 155 pages
978-3-030-51924-7 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
X, 155 p. 63 illus., 27 illus. in color.
ISBN-13
978-3-030-51924-7 (9783030519247)
DOI
10.1007/978-3-030-51924-7
Schweitzer Classification
Other editions
Additional editions
Davide Calvaresi | Amro Najjar | Michael Winikoff
Explainable, Transparent Autonomous Agents and Multi-Agent Systems
Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9-13, 2020, Revised Selected Papers
Book
07/2020
Springer
€53.49
Shipment within 7-9 days
Content
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.
