Explainable, Transparent Autonomous Agents and Multi-Agent Systems: First International Workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13–14, 2019, Revised Selected Papers: Lecture Notes in Computer Science, cartea 11763
Editat de Davide Calvaresi, Amro Najjar, Michael Schumacher, Kary Främlingen Limba Engleză Paperback – 11 sep 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.
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Specificații
ISBN-13: 9783030303907
ISBN-10: 303030390X
Pagini: 350
Ilustrații: X, 221 p. 66 illus., 38 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 303030390X
Pagini: 350
Ilustrații: X, 221 p. 66 illus., 38 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
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.