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Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Condizione: New. In English.

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Condizione: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.…

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Condizione: Very Good. 2001st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.…

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 25th International Conference on Case-Based Reasoning Research and Development, ICCBR 2017, held in Trondheim, Norway, in June 2017.The 27 full papers presented together with 3 keynote presentations were carefully reviewed and selected from 38 submissions. The theme of ICCBR-2017, 'Analogy for Reuse', was highlightedin several events.These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning,analogical reasoning,CBRand Deep Learning, CBR in the Health Sciences, Computational Analogy, and Process-Oriented CBR.…

Condizione: New. In English.

Paperback. Condizione: New. This book focuses on a subtopic of explainable AI (XAI) called explainable agency (EA), which involves producing records of decisions made during an agent's reasoning, summarizing its behavior in human-accessible terms, and providing answers to questions about specific choices and the reasons for them. We distinguish explainable agency from interpretable machine learning (IML), another branch of XAI that focuses on providing insight (typically, for an ML expert) concerning a learned model and its decisions. In contrast, explainable agency typically involves a broader set of AI-enabled techniques, systems, and stakeholders (e.g., end users), where the explanations provided by EA agents are best evaluated in the context of human subject studies.The chapters of this book explore the concept of endowing intelligent agents with explainable agency, which is crucial for agents to be trusted by humans in critical domains such as finance, self-driving vehicles, and military operations. This book presents the work of researchers from a variety of perspectives and describes challenges, recent research results, lessons learned from applications, and recommendations for future research directions in EA. The historical perspectives of explainable agency and the importance of interactivity in explainable systems are also discussed. Ultimately, this book aims to contribute to the successful partnership between humans and AI systems.Features:Contributes to the topic of explainable artificial intelligence (XAI)Focuses on the XAI subtopic of explainable agencyIncludes an introductory chapter, a survey, and five other original contributions.…

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Paperback. Condizione: Brand New. 192 pages. 9.19x6.13x0.39 inches. In Stock.

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Paperback. Condizione: Brand New. 456 pages. 9.25x6.10x1.03 inches. In Stock.

Condizione: New.

Condizione: New.

Condizione: New. In English.