Explainable, Transparent Autonomous Agents and Multi-Agent Systems
First International Workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13-14, 2019, Revised Selected Papers
Published on 10. September 2019
X, 221 pages
978-3-030-30391-4 (ISBN)
Description
This book constitutes the proceedings of the First International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2019, held in Montreal, Canada, in May 2019.
The 12 revised and extended papers presented were carefully selected from 23 submissions. They are organized in topical sections on explanation and transparency; explainable robots; opening the black box; explainable agent simulations; planning and argumentation; explainable AI and cognitive science.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
X, 221 p. 66 illus., 38 illus. in color.
File size
10,92 MB
ISBN-13
978-3-030-30391-4 (9783030303914)
DOI
10.1007/978-3-030-30391-4
Schweitzer Classification
Other editions
Additional editions
Davide Calvaresi | Amro Najjar | Michael Schumacher
Explainable, Transparent Autonomous Agents and Multi-Agent Systems
First International Workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13-14, 2019, Revised Selected Papers
Book
09/2019
Springer
€53.49
Shipment within 7-9 days
Content
Explanation and Transparency.-
Towards a transparent deep ensemble method based on multiagent Argumentation.- Effects of Agents' Transparency on Teamwork.-
Explainable Robots.-
Explainable Multi-Agent Systems through Blockchain Technology Authors.- Explaining Sympathetic Actions of Rational Agents.- Conversational Interfaces for Explainable AI: A Human-Centered Approach.-
Opening the Black Box.-
Explanations of Black-Box Model Predictions by Contextual Importance and Utility.- Explainable Artificial Intelligence based Heat Recycler Fault Detection in Air Handling Unit.-
Explainable Agent Simulations.-
Explaining Aggregate Behaviour in Cognitive Agent Simulations using Explanation.- BEN : An Agent Architecture for Explainable and Expressive Behavior in Social Simulation.-
Planning and Argumentation.-
Temporal Multiagent Plan Execution: Explaining what Happened.- Explainable Argumentation for Wellness Consultation.-
Explainable AI and Cognitive Science.-
How Cognitive Science Impacts AI and What We Can Learn From It.
