distributed information computation generic de fields chris (14 résultats)

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Hardcover. Etat : Brand New. 175 pages. 9.25x6.10x9.61 inches. In Stock.

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses an integrative approach to the currently high profile topics of artificial intelligence, quantum information, and quantum biology, with applications in the biosciences and the emerging fields of computational phenomenology and basal cognition. Specifically, the book addresses theoretical constructs of artificial intelligence and quantum information within scale-free work space architectures as pertaining to neuroscience and biology as well as to self-organizing systems generally. The past few years have seen a rapid convergence of interests between researchers working in evo-devo biology and neuroscience and those working in AI, machine learning, and the physics of information, with much of this convergence driven by recognition that the Free Energy Principle applies not just to nervous systems, but to physical systems in general. The authors develop a scale-free, minimal architecture that associates a generic semantics with any well-defined physical interaction. The presentation is accessible to a broad audience, including advanced undergraduates. The book is appropriate for students and researchers in AI, the physics of information, and the life sciences, particularly those working in the growing interdisciplinary field of active inference.

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Hardcover. Etat : new. Hardcover. This book discusses an integrative approach to the currently high profile topics of artificial intelligence, quantum information, and quantum biology, with applications in the biosciences and the emerging fields of computational phenomenology and basal cognition. Specifically, the book addresses theoretical constructs of artificial intelligence and quantum information within scale-free work space architectures as pertaining to neuroscience and biology as well as to self-organizing systems generally. The past few years have seen a rapid convergence of interests between researchers working in evo-devo biology and neuroscience and those working in AI, machine learning, and the physics of information, with much of this convergence driven by recognition that the Free Energy Principle applies not just to nervous systems, but to physical systems in general. The authors develop a scale-free, minimal architecture that associates a generic semantics with any well-defined physical interaction. The presentation is accessible to a broad audience, including advanced undergraduates. The book is appropriate for students and researchers in AI, the physics of information, and the life sciences, particularly those working in the growing interdisciplinary field of active inference. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses an integrative approach to the currently high profile topics of artificial intelligence, quantum information, and quantum biology, with applications in the biosciences and the emerging fields of computational phenomenology and basal cognition. Specifically, the book addresses theoretical constructs of artificial intelligence and quantum information within scale-free work space architectures as pertaining to neuroscience and biology as well as to self-organizing systems generally. The past few years have seen a rapid convergence of interests between researchers working in evo-devo biology and neuroscience and those working in AI, machine learning, and the physics of information, with much of this convergence driven by recognition that the Free Energy Principle applies not just to nervous systems, but to physical systems in general. The authors develop a scale-free, minimal architecture that associates a generic semantics with any well-defined physical interaction. The presentation is accessible to a broad audience, including advanced undergraduates. The book is appropriate for students and researchers in AI, the physics of information, and the life sciences, particularly those working in the growing interdisciplinary field of active inference. 196 pp. Englisch.

Hardcover. Etat : new. Hardcover. This book discusses an integrative approach to the currently high profile topics of artificial intelligence, quantum information, and quantum biology, with applications in the biosciences and the emerging fields of computational phenomenology and basal cognition. Specifically, the book addresses theoretical constructs of artificial intelligence and quantum information within scale-free work space architectures as pertaining to neuroscience and biology as well as to self-organizing systems generally. The past few years have seen a rapid convergence of interests between researchers working in evo-devo biology and neuroscience and those working in AI, machine learning, and the physics of information, with much of this convergence driven by recognition that the Free Energy Principle applies not just to nervous systems, but to physical systems in general. The authors develop a scale-free, minimal architecture that associates a generic semantics with any well-defined physical interaction. The presentation is accessible to a broad audience, including advanced undergraduates. The book is appropriate for students and researchers in AI, the physics of information, and the life sciences, particularly those working in the growing interdisciplinary field of active inference. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book discusses an integrative approach to the currently high profile topics of artificial intelligence, quantum information, and quantum biology, with applications in the biosciences and the emerging fields of computational phenomenology and basal cognition. Specifically, the book addresses theoretical constructs of artificial intelligence and quantum information within scale-free work space architectures as pertaining to neuroscience and biology as well as to self-organizing systems generally. The past few years have seen a rapid convergence of interests between researchers working in evo-devo biology and neuroscience and those working in AI, machine learning, and the physics of information, with much of this convergence driven by recognition that the Free Energy Principle applies not just to nervous systems, but to physical systems in general. The authors develop a scale-free, minimal architecture that associates a generic semantics with any well-defined physical interaction. The presentation is accessible to a broad audience, including advanced undergraduates. The book is appropriate for students and researchers in AI, the physics of information, and the life sciences, particularly those working in the growing interdisciplinary field of active inference.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch.

Hardcover. Etat : new. Hardcover. This book discusses an integrative approach to the currently high profile topics of artificial intelligence, quantum information, and quantum biology, with applications in the biosciences and the emerging fields of computational phenomenology and basal cognition. Specifically, the book addresses theoretical constructs of artificial intelligence and quantum information within scale-free work space architectures as pertaining to neuroscience and biology as well as to self-organizing systems generally. The past few years have seen a rapid convergence of interests between researchers working in evo-devo biology and neuroscience and those working in AI, machine learning, and the physics of information, with much of this convergence driven by recognition that the Free Energy Principle applies not just to nervous systems, but to physical systems in general. The authors develop a scale-free, minimal architecture that associates a generic semantics with any well-defined physical interaction. The presentation is accessible to a broad audience, including advanced undergraduates. The book is appropriate for students and researchers in AI, the physics of information, and the life sciences, particularly those working in the growing interdisciplinary field of active inference. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.