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Geometry of knowledge for intelligent systems / / Germano Resconi



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Autore: Resconi Germano Visualizza persona
Titolo: Geometry of knowledge for intelligent systems / / Germano Resconi Visualizza cluster
Pubblicazione: Berlin ; ; New York, : Springer, c2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (X, 282 p.)
Disciplina: 515.63
Soggetto topico: Calculus of tensors
Intelligent agents (Computer software) - Mathematics
Logic, Symbolic and mathematical
Classificazione: 004510
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: An Introduction to the Geometry of Agent Knowledge -- Tensor Calculus and Formal Concepts -- Geometry and Agent Coherence -- Field Theory for Knowledge -- Brain Neurodynamic and Tensor Calculus -- Electrical Circuit as constrain in the multidimensional space of the voltages or currents -- Superposition and Geometry for Evidence and Quantum Mechanics in the Tensor Calculus -- The Logic of Uncertainty and geometry of the worlds.
Sommario/riassunto: The book is on the geometry of agent knowledge. The important concept studied in this book is the Field and its Geometric Representation. To develop a geometric image of the gravity , Einstein used Tensor Calculus but this is very different from the knowledge instruments used now, as for instance techniques of data mining , neural networks , formal concept analysis ,quantum computer and other topics. The aim of this book is to rebuild the tensor calculus in order to give a geometric representation of agent knowledge. By using a new geometry of knowledge we can unify all the topics that have been studied in recent years to create a bridge between the geometric representation of the physical phenomena and the geometric representation of the individual and subjective knowledge of the agents.
Titolo autorizzato: Geometry of Knowledge for Intelligent Systems  Visualizza cluster
ISBN: 3-642-27972-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910437925403321
Lo trovi qui: Univ. Federico II
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Serie: Studies in computational intelligence ; ; v. 407.