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Titlebook: Explainable, Transparent Autonomous Agents and Multi-Agent Systems; First International Davide Calvaresi,Amro Najjar,Kary Fr?mling Confere

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書目名稱Explainable, Transparent Autonomous Agents and Multi-Agent Systems
副標題First International
編輯Davide Calvaresi,Amro Najjar,Kary Fr?mling
視頻videohttp://file.papertrans.cn/320/319309/319309.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Explainable, Transparent Autonomous Agents and Multi-Agent Systems; First International  Davide Calvaresi,Amro Najjar,Kary Fr?mling Confere
描述.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..
出版日期Conference proceedings 2019
關鍵詞agent based; artificial intelligence; autonomous agents; cognitive systems; computer vision; hci; human-co
版次1
doihttps://doi.org/10.1007/978-3-030-30391-4
isbn_softcover978-3-030-30390-7
isbn_ebook978-3-030-30391-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
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Conversational Interfaces for Explainable AI: A Human-Centred Approachxplanation directly from an intelligent agent. We propose Conversational Interfaces (CIs) to be the perfect setting, since they are intuitive for humans and computationally processible. While there are many approaches addressing technical and agent related issues of this human-agent communication pr
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Explanations of Black-Box Model Predictions by Contextual Importance and Utilityystems. Explainable artificial intelligence is gaining considerable attention among researchers and developers to address this requirement. Although there is an increasing number of works on interpretable and transparent machine learning algorithms, they are mostly intended for the technical users.
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BEN: An Agent Architecture for Explainable and Expressive Behavior in Social Simulationexplain an observed behavior. However, there are actually no agent architectures among the most popular platforms for agent-based simulation enabling to easily model human actors. This situation leads modelers to implement simple reactive behaviors while the EROS principle (Enhancing Realism Of Simu
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