Perlovsky Leonid (98 results)

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardback. Condition: Very Good. This work describes a new mathematical concept of modeling field theory and its applications to a variety of problems while offering a view of the relationships among mathematics, computational concepts in neural networks, semiotics, and concepts of mind in psychology and philosophy. The book is directed towards a diverse audience of students, teachers, researchers, and engineers working in the areas of neural networkss, artificial intelligence, cognitive science, fuzzy systems, pattern recognition and machine/computer vision, data mining, robotics, target tracking, sensor fusion, spectrum analysis, time series analysis, and financial market forecasting. Mathematically inclined philosophers, semioticians, and psychologists will also find many areas of interest. Modeling field neural networks utilize internal "world" models. The concept of internal models of the mind originated in artifical intelligence and cognitive psychology, but its roots date back to Plato and Aristotle. Intelligent systems based on rules utlize models in their final conceptual forms of rules. Like the Eide (Ideas) of Plato, rules lack adaptivity. In modeling field theory, the adaptive models are similar to the Forms of Aristotle and serve as the basis for learning. By combining the a priori knowledge with learning, the most perplexing problems in field of neural networks and intelligent systems are addresses: fast learning and robust generalization. The new mathematics describes a basic instinct for learning and the related affective signals in the learning process. An ability to perceive beauty is shown to be an essential property of adaptive system related to the instinct for learning. The combination of intuition with mathematics provides the foundation of a physical theory of mind. The book reviews most of the mathematical concepts and engineering approaches to the development of intelligent systems discussed since the 1940s. The origin of the Aristotelian mathematics of mind is traced in Grossberg's ART neural network; and its essential component turns to be fuzzy logic. Among the topics disucssed are hierarchical and heterarchical organization of intelligent systems, statistical learning theory, genetic algorithms, complex adaptive systems, mathematical semiotics, the dynamical nature of symbols, Godel theorems and intelligence, emotions and thinking, mathematics of emotional intellect, and consciousness. The author's striking conclusion is that philosphers of the past have been closer to the computational concepts emerging today than pattern recognition and AI experts of just a few years ago.…

Hardback. Condition: Very Good. This work describes a new mathematical concept of modeling field theory and its applications to a variety of problems while offering a view of the relationships among mathematics, computational concepts in neural networks, semiotics, and concepts of mind in psychology and philosophy. The book is directed towards a diverse audience of students, teachers, researchers, and engineers working in the areas of neural networkss, artificial intelligence, cognitive science, fuzzy systems, pattern recognition and machine/computer vision, data mining, robotics, target tracking, sensor fusion, spectrum analysis, time series analysis, and financial market forecasting. Mathematically inclined philosophers, semioticians, and psychologists will also find many areas of interest. Modeling field neural networks utilize internal "world" models. The concept of internal models of the mind originated in artifical intelligence and cognitive psychology, but its roots date back to Plato and Aristotle. Intelligent systems based on rules utlize models in their final conceptual forms of rules. Like the Eide (Ideas) of Plato, rules lack adaptivity. In modeling field theory, the adaptive models are similar to the Forms of Aristotle and serve as the basis for learning. By combining the a priori knowledge with learning, the most perplexing problems in field of neural networks and intelligent systems are addresses: fast learning and robust generalization. The new mathematics describes a basic instinct for learning and the related affective signals in the learning process. An ability to perceive beauty is shown to be an essential property of adaptive system related to the instinct for learning. The combination of intuition with mathematics provides the foundation of a physical theory of mind. The book reviews most of the mathematical concepts and engineering approaches to the development of intelligent systems discussed since the 1940s. The origin of the Aristotelian mathematics of mind is traced in Grossberg's ART neural network; and its essential component turns to be fuzzy logic. Among the topics disucssed are hierarchical and heterarchical organization of intelligent systems, statistical learning theory, genetic algorithms, complex adaptive systems, mathematical semiotics, the dynamical nature of symbols, Godel theorems and intelligence, emotions and thinking, mathematics of emotional intellect, and consciousness. The author's striking conclusion is that philosphers of the past have been closer to the computational concepts emerging today than pattern recognition and AI experts of just a few years ago.…

Condition: As New. Owner's name stamped on top edge and first page. Minimal wear on covers. Clean throughout inside. Free tracking.

Condition: New.

Condition: As New. Unread book in perfect condition.

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.

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Hardcover. Condition: Very Good+. Dust Jacket Condition: No Dust Jacket As Issued. Number in pen on front free endpaper, otherwise text clean and tight; no dust jacket; 8vo 8" - 9" tall; 298 pages.

Condition: New. In English.

Condition: New.

Condition: As New. Unread book in perfect condition.

HC, Red Dec. Boards. Condition: Fine. Dust Jacket Condition: No Jacket Issued. First Edition. 366pp. Black and white charts, graphs, and some photos throughout. Size: Sm4to 9-1/4 x 6. Hardback.

hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Taschenbuch. Condition: Neu. Music, Passion, and Cognitive Function | Leonid Perlovsky | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2017 | Elsevier Inc | EAN 9780128094617 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Condition: As New. Unread book in perfect condition.

Condition: New. Provides a foundation of music theory Demonstrates how emotions motivate interaction between cognition and language Covers differentiation and synthesis in consciousness Compares the parallel evolution of music and cultur.

Condition: New.

Condition: New. In English.

Condition: New.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Edited volume discusses artificial/computational sapience and sapient systems from a diverse set of contributorsOrganised into seven sections so that the reader is guided through the subject in a structured and comprehensive mannerConcepts are formalized and extended, as well as compared and differentiated from their counterparts in the artificial intelligent and intelligence systems disciplinesApplicability of developed concepts are illustrated thoroughlyThis novel state-of-the-art research volume is the first to explore computational sapience and sapient (wise) systemsOf utmost importance to all researchers and graduate students in the field.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Edited volume discusses artificial/computational sapience and sapient systems from a diverse set of contributorsOrganised into seven sections so that the reader is guided through the subject in a structured and comprehensive mannerConcepts are formalized and extended, as well as compared and differentiated from their counterparts in the artificial intelligent and intelligence systems disciplinesApplicability of developed concepts are illustrated thoroughlyThis novel state-of-the-art research volume is the first to explore computational sapience and sapient (wise) systemsOf utmost importance to all researchers and graduate students in the field.…

Paperback. Condition: Brand New. 450 pages. 11.00x8.50x1.02 inches. In Stock.

Taschenbuch. Condition: Neu. Toward Artificial Sapience | Principles and Methods for Wise Systems | Rene V. Mayorga (u. a.) | Taschenbuch | xvii | Englisch | 2010 | Springer | EAN 9781849966986 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condition: New. In English.