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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783838300313
Cantidad disponible: 2 disponibles
Librería: moluna, Greven, Alemania
Condición: 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, . Nº de ref. del artículo: 5410780
Cantidad disponible: Más de 20 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 168. Nº de ref. del artículo: 26128855524
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 168 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Nº de ref. del artículo: 131699259
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 168. Nº de ref. del artículo: 18128855534
Cantidad disponible: 4 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 101638442
Cantidad disponible: 5 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783838300313
Cantidad disponible: 1 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783838300313
Cantidad disponible: 1 disponibles