Brambilla Phd Marco (4 results)

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  • Language: English

    Published by Morgan Kaufmann, 2014

    0128001089 / 9780128001080

    • Softcover

    Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.

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    Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

  • Language: English

    Published by Morgan Kaufmann, 2014

    0128001089 / 9780128001080

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    £ 57.86

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    Condition: New. In English.

  • Language: English

    Published by Elsevier Science, 2025

    0443405530 / 9780443405532

    • Softcover

    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Investigates the challenges in creating synergistic human and AI-based autonomous system-of-systemsIntegrates concepts from a wide range of disciplines, including applied and theoretical AI, quantum mechanics, social sciences, and systems e.

  • Language: English

    Published by Elsevier Inc Jul 2025, 2025

    0443405530 / 9780443405532

    • Softcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. Neuware - Bi-directionality in Human-AI Collaborative Systems investigates the foundations, metrics, and applications of human-machine systems, along with the legal ramifications of autonomy, including standards, trust by the public, and bidirectional trust by users and AI systems. The book addresses the challenges in creating synergistic human and AI-based autonomous system-of-systems by focusing on the underlying challenges associated with bi-directionality. Chapters cover advances in LLMs, logic, machine learning choices, the development of standards, as well as human-centered approaches to autonomous human-machine teams. This is a valuable resource for world-class researchers and engineers who are theorizing on, designing, and developing autonomous systems.It will also be useful for government scientists, business leaders, social scientists, philosophers, regulators and legal experts interested in the impact of autonomous human-machine teams and systems.…