How to measure machine intelligence seem to be in the fields of computer science, however, the field is affected by interdisciplinary assumptions from other disciplines such as social sciences and biological (neuroscience) sciences. Machine intelligence measurement would help technology evaluators and policy makers assay the relevance of machines that claim intelligence. The technical (T) evaluators would focus on features that are of no qualitative meaning to humans. Policy makers would focus on whether a machine violated any regulation (O) during the course of the intelligent actions. End- users would focus on subtle features parallel to human intelligence (P). Coupling T with O and P with O measures (using a new calculus) reveals the overall intelligence. This book concerns consumers of nduologic systems (intelligent artificial systems and educational technologies). It shows the diversity of measures of machine intelligence and how to use the TOP model. It clarified the significances of machine intelligence quotient (the focus of this book) is quite different from those of machine intelligence.
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V. C. I Ulinwa, Ph.D, Ph.D* Studied Computational Intelligence. He is a Systems Science researcher with interest on Nduologic systems (Machine Intelligence and its Measurement, Educational Technology, Mechanism design, and EpidemicSystems).He also has degrees in Public Administration and information management & telecommunication certificate.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -How to measure machine intelligence seem to be in the fields of computer science, however, the field is affected by interdisciplinary assumptions from other disciplines such as social sciences and biological (neuroscience) sciences. Machine intelligence measurement would help technology evaluators and policy makers assay the relevance of machines that claim intelligence. The technical (T) evaluators would focus on features that are of no qualitative meaning to humans. Policy makers would focus on whether a machine violated any regulation (O) during the course of the intelligent actions. End- users would focus on subtle features parallel to human intelligence (P). Coupling T with O and P with O measures (using a new calculus) reveals the overall intelligence. This book concerns consumers of nduologic systems (intelligent artificial systems and educational technologies). It shows the diversity of measures of machine intelligence and how to use the TOP model. It clarified the significances of machine intelligence quotient (the focus of this book) is quite different from those of machine intelligence. 168 pp. Englisch. Bestandsnummer des Verkäufers 9783838300313
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ulinwa V. C. IV. C. I Ulinwa, Ph.D, Ph.D* Studied Computational Intelligence. He is a Systems Science researcher with interest on Nduologic systems (Machine Intelligence and its Measurement, Educational Technology, Mechanism design, . Bestandsnummer des Verkäufers 5410780
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Zustand: New. PRINT ON DEMAND pp. 168. Bestandsnummer des Verkäufers 18128855534
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Taschenbuch. Zustand: Neu. Introduction To Machine Intelligence Measurement | A Triumvirate Approach to Machine Intelligence Quotient | V. C. I Ulinwa | Taschenbuch | 168 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838300313 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101638442
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -How to measure machine intelligence seem to be in the fields of computer science, however, the field is affected by interdisciplinary assumptions from other disciplines such as social sciences and biological (neuroscience) sciences. Machine intelligence measurement would help technology evaluators and policy makers assay the relevance of machines that claim intelligence. The technical (T) evaluators would focus on features that are of no qualitative meaning to humans. Policy makers would focus on whether a machine violated any regulation (O) during the course of the intelligent actions. End- users would focus on subtle features parallel to human intelligence (P). Coupling T with O and P with O measures (using a new calculus) reveals the overall intelligence. This book concerns consumers of nduologic systems (intelligent artificial systems and educational technologies). It shows the diversity of measures of machine intelligence and how to use the TOP model. It clarified the significances of machine intelligence quotient (the focus of this book) is quite different from those of machine intelligence.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch. Bestandsnummer des Verkäufers 9783838300313
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - How to measure machine intelligence seem to be in the fields of computer science, however, the field is affected by interdisciplinary assumptions from other disciplines such as social sciences and biological (neuroscience) sciences. Machine intelligence measurement would help technology evaluators and policy makers assay the relevance of machines that claim intelligence. The technical (T) evaluators would focus on features that are of no qualitative meaning to humans. Policy makers would focus on whether a machine violated any regulation (O) during the course of the intelligent actions. End- users would focus on subtle features parallel to human intelligence (P). Coupling T with O and P with O measures (using a new calculus) reveals the overall intelligence. This book concerns consumers of nduologic systems (intelligent artificial systems and educational technologies). It shows the diversity of measures of machine intelligence and how to use the TOP model. It clarified the significances of machine intelligence quotient (the focus of this book) is quite different from those of machine intelligence. Bestandsnummer des Verkäufers 9783838300313
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