Introduction To Machine Intelligence Measurement: A Triumvirate Approach to Machine Intelligence Quotient - Softcover
Synopsis
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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About the Author
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 Epidemic Systems).He also has degrees in Public Administration and information management & telecommunication certificate.
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Introduction To Machine Intelligence Measurement
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LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838300319
ISBN 13: 9783838300313
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Taschenbuch. Condition: 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. Seller Inventory # 9783838300313
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Introduction To Machine Intelligence Measurement
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Condition: 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, . Seller Inventory # 5410780
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Introduction to Machine Intelligence Measurement
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Introduction to Machine Intelligence Measurement
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Introduction To Machine Intelligence Measurement | A Triumvirate Approach to Machine Intelligence Quotient
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Taschenbuch. Condition: 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. Seller Inventory # 101638442
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Introduction To Machine Intelligence Measurement
Published by
LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838300319
ISBN 13: 9783838300313
New
Taschenbuch
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Taschenbuch. Condition: 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. Seller Inventory # 9783838300313
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Introduction To Machine Intelligence Measurement : A Triumvirate Approach to Machine Intelligence Quotient
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838300319
ISBN 13: 9783838300313
New
Taschenbuch
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Taschenbuch. Condition: 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. Seller Inventory # 9783838300313
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