Skip to product information
1 of 1

Cambridge University Press

The Measure of All Minds: Evaluating Natural and Artificial Intelligence

The Measure of All Minds: Evaluating Natural and Artificial Intelligence

Regular price €139,95 EUR
Regular price Sale price €139,95 EUR
Sale Sold out
Shipping calculated at checkout.
Format
Are psychometric tests valid for a new reality of artificial intelligence systems, technology-enhanced humans, and hybrids yet to come? Are the Turing Test, the ubiquitous CAPTCHAs, and the various animal cognition tests the best alternatives? In this fascinating and provocative book, Jos Hern ndez-Orallo formulates major scientific questions, integrates the most significant research developments, and offers a vision of the universal evaluation of cognition. By replacing the dominant anthropocentric stance with a universal perspective where living organisms are considered as a special case, long-standing questions in the evaluation of behavior can be addressed in a wider landscape. Can we derive task difficulty intrinsically? Is a universal g factor - a common general component for all abilities - theoretically possible? Using algorithmic information theory as a foundation, the book elaborates on the evaluation of perceptual, developmental, social, verbal and collective features and critically analyzes what the future of intelligence might look like.

Author: José Hernández-Orallo
Publisher: Cambridge University Press
Published: 01/11/2017
Pages: 568
Binding Type: Hardcover
Weight: 2.28lbs
Size: 9.39h x 6.31w x 1.15d
ISBN: 9781107153011

About the Author
Hernández-Orallo, José: - José Hernández-Orallo is Professor of Information Systems and Computation at the Universitat Politècnica de València, Spain. He has published four books and more than a hundred articles and papers on artificial intelligence, machine learning, data mining, cognitive science, and information systems. His work in the area of machine intelligence evaluation has been covered by both scientific and popular outlets, including The Economist and New Scientist. He pioneered the application of algorithmic information theory to the development of artificial intelligence tests.

View full details