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Download The Measure of All Minds: Evaluating Natural and Artificial Intelligence
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The Measure of All Minds: Evaluating Natural and Artificial Intelligence
Download The Measure of All Minds: Evaluating Natural and Artificial Intelligence
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Review
'This highly original, wide-ranging, and thought-provoking book must surely be essential reading for anyone working at the cutting edge of [artificial intelligence] research who has wondered about the implications of the entities they are creating and the future they will inhabit.' David Hand, Imperial College London'What is the most important topic in science? Intelligence. It is most important because intelligence is the essential ingredient in answering any other imaginable question. How are human intelligence and artificial intelligence related? No one knows because there is no current way to measure different intelligences on a common scale. If you believe this and also that artificial intelligence may someday be as or more powerful than human intelligence, then you should read The Measure of All Minds by José Hernández-Orallo. Based on what has been learned about the measurement of human intelligence, Hernández-Orallo develops both the theory and practical methods that could allow the measurement of intelligence wherever it is found. This book is a vital achievement and necessary first step in uniting research on human and artificial intelligence and should be in the library of anyone interested in either.' Douglas K. Detterman, Case Western Reserve University, Ohio'This book transcends a wide variety of disciplines in search for an all-encompassing measurement principle for intelligence: the intelligence of humans, animals, and machines, and at the same time for a unified notion of intelligence and what it means for problems to be difficult. It is a formidable and captivating intellectual endeavor based on a deep understanding and combination of different perspectives, realized with an enjoyable, rigorous and formalized way of thinking. It is a must-read volume for psychometricians and for scholars in the domain of intelligence and beyond.' Paul de Boeck, Ohio State University'To my knowledge, this is the first time that a joint perspective on intelligence has been taken, based on artificial intelligence, psychometrics and comparative psychology. The book is scholarly as well as highly spirited and should be of interest for a broad readership, including students and researchers from artificial intelligence as well as psychology.' Ute Schmid, University of Bamberg, Germany'José Hernández-Orallo creates a new foundation for understanding our own and other (artificial) intelligences. Fundamentally interdisciplinary, The Measure of All Minds integrates insights that span philosophy, psychology, mathematics, and computer science. The result is a treasure trove for the AI researcher, and anyone looking to unravel the secrets of intelligence.' Katja Hofmann, Microsoft Research'The Measure of All Minds draws together the diverse fields of psychometrics, comparative psychology, and artificial intelligence to lay out an agenda for the unified understanding of human, animal, and machine intelligence. A challenging and intriguing contribution to an increasingly important debate.' John Rust and Chris Gibbons, University of Cambridge'Some of the many concepts examined in this first-class book with Cambridge University Press include tests of machine, human and non-human animal intelligence, 'machine kingdom' (to generalise the notion of 'animal kingdom'), Hernández-Orallo's related notions of 'universal psychometrics' and 'Darwin-Wallace distribution' (the aptitude of things is probably best considered in an environment in which they have evolved to be able to survive) - and others perhaps more thought-provoking, if not at times controversial. This multi-disciplinary study's extensive reference list leaves few stones unturned. I predict this readable unifying book to be a much-cited and valued resource and reference for many years to come.''... an impressive and important step towards a less human-centred understanding of intelligence.' Stephen Cave, Financial Times'The range of scholarship and expertise displayed in this book is extraordinary ... The work presented in this book is an extremely important contribution to the analysis of behavior and cognition. Anyone interested in psychometrics, comparative psychology, and artificial intelligence will find this book valuable and thought-provoking. The level of familiarity with disparate fields is truly remarkable.' Robert L. Greene, PsycCRITIQUES
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Book Description
This cross-disciplinary book is meant for a wide range of readers in artificial intelligence, cognitive science, psychometrics, comparative psychology, and philosophy. It provides a unified framework for evaluating behavioral features of both natural and artificial intelligence, and critically analyzes what the future of intelligence may look like.
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Product details
Hardcover: 568 pages
Publisher: Cambridge University Press; 1 edition (January 11, 2017)
Language: English
ISBN-10: 1107153018
ISBN-13: 978-1107153011
Product Dimensions:
6.2 x 1.1 x 9.2 inches
Shipping Weight: 2.3 pounds (View shipping rates and policies)
Average Customer Review:
3.9 out of 5 stars
3 customer reviews
Amazon Best Sellers Rank:
#1,371,126 in Books (See Top 100 in Books)
Much of this book consists of surveys of the psychometric literature. But the best parts of the book involve original results that bring more rigor and generality to the field. The best parts of the book approach the quality that I saw in Judea Pearl's Causality, and E.T. Jaynes' Probability Theory, but Measure of All Minds achieves a smaller fraction of its author's ambitions, and is sometimes poorly focused.Hernández-Orallo has an impressive ambition: measure intelligence for any agent. The book mentions a wide variety of agents, such as normal humans, infants, deaf-blind humans, human teams, dogs, bacteria, Q-learning algorithms, etc.The book is aimed at a narrow and fairly unusual target audience. Much of it reads like it's directed at psychology researchers, but the more original parts of the book require thinking like a mathematician.The survey part seems pretty comprehensive, but I wasn't satisfied with his ability to distinguish the valuable parts (although he did a good job of ignoring the politicized rants that plague many discussions of this subject).For nearly the first 200 pages of the book, I was mostly wondering whether the book would address anything important enough for me to want to read to the end. Then I reached an impressive part: a description of an objective IQ-like measure. Hernández-Orallo offers a test (called the C-test) which:- measures a well-defined concept: sequential inductive inference,- defines the correct responses using an objective rule (based on Kolmogorov complexity),- with essentially no arbitrary cultural bias (the main feature that looks like an arbitrary cultural bias is the choice of alphabet and its order)[1],- and gives results in objective units (based on Levin's Kt).Yet just when I got my hopes up for a major improvement in real-world IQ testing, he points out that what the C-test measures is too narrow to be called intelligence: there's a 960 line Perl program (see Sanghi and Dowe, "A computer program capable of passing I.Q. tests") that exhibits human-level performance on this kind of test, without resembling a breakthrough in AI.---------------------------------------The book provides rigorous analysis of some aspects of the AI foom debate. At least one subset of intelligence requires exponentially increasing resources for linear gains in an objective measure of that subset of intelligence. His overall claim is obviously too narrow to say anything conclusive about foom. The argument made me somewhat more confident that foom is only plausible in the presence of significant hardware overhang. But the book also convinced me that hardware overhang is more likely than I previously believed.His measures seem sufficiently IQ-like that I believe his argument implies that exponentially increasing resources are generally needed for linear increases in IQ. Unfortunately, linear gains in IQ don't imply anything simple about gains in ability at world domination.Hernández-Orallo complains about Bostrom's lack of rigor in Superintelligence. Most authors would be making selective demands for rigor if they made that complaint, but Hernández-Orallo seems fairly consistent about wanting to focus on rigorous analysis, even when that implies not tackling the most important problems we face.---------------------------------------He mentions that compression is similar to intelligence, but claims it isn't an adequate measure of intelligence. His only clear counter-example is that some algorithms produce better lossless compression than humans, without being more intelligent than humans. I find that unconvincing: humans don't try to do lossless compression as well as they do lossy compression, so it's hard to evaluate human compression abilities in ways that are both fair and rigorous. I have vague hopes that someone can find a good way to objectively measure human compression abilities, but it's unclear whether that would be worth the effort.The farther Hernández-Orallo strays from his areas of expertise (which isn't often), the less convincing he sounds. For example, he suggests that robot waiters will learn how to get higher tips from customers. That assumes a rather strange model of why tipping happens; I predict that tipping will be obsolete in restaurants without human waiters.Some other interesting ideas that I'm too busy to discuss now:* He conjectures that, contrary to Spearman's law of diminishing returns, minds in general (i.e. typical AIs) will show a higher g-factor as their intelligence increases.* Graphs of crowd IQ as a function of crowd size.* Reader et al. "The evolution of primate general and cultural intelligence" claims that "High general intelligence has independently evolved at least four times, with convergent evolution in capuchins, baboons, macaques and great apes."The book clarified my knowledge of intelligence testing, and slightly improved my understanding of what intelligence is. It's essential reading for a rather narrow set of people.[1] - I use the term "arbitrary" there to distinguish undesirable biases from the cultural biases toward abstract thought (which belong in IQ tests), and possible biases toward test subjects who are motivated to score well (that's a messy subject, and mostly beyond the scope of the book).
I picked up this book as it was reviewed in an article alongside two other books on intelligence (natural and artificial). Although I am an AI researcher, I was looking for a popsci book that I could read in my spare time, in the spirit of amazing works such as Marvin Minsky's "Society of Mind" and "The Emotion Machine". I also liked the subject of the book.Unfortunately, it turned out to be a textbook of sorts. Incredibly dull. I nonetheless finished the first two and half chapters, but was finding it difficult to retain anything in my head. So I put it down and moved on to the next book in my list.
What is intelligence? Anyone interested in this question would do well to read The Measure of All Minds. I have enjoyed it immensely. The basic premise of the book is that in order to approach an answer, we need to develop the means whereby to measure the phenomenon, i.e. intelligence. This book is a clear and very interesting introduction to the subject and its recent research. Most people think of an IQ test as the best way of measuring intelligence, but as argued here, an IQ test is very anthropocentric, and not useful for machines. Machines can today be programmed to do exceedingly well at narrow tasks like chess, that are strong indicators of intelligence in humans. As the field of AI continues to develop, the questions addressed in this book will only become more urgent.Cambridge University Press has done an excellent job with the book design. Its 500+ pages never feel overwhelming and are strewn with figures, boxes, tables, highlighted keynotes and headings. This gives a clear overview of the various angles used by the author to attack this notoriously difficult and important subject matter. In my opinion, unraveling the quintessence of intelligence is one of the foremost scientific questions facing us at this time. Arguments have been made that we humans are currently experiencing the fourth big revolution in our understanding of ourselves as unique creatures. Not only do we live on a planet that is not in the center of the universe (Copernicus and the first revolution) or that we are not separate from the other animals on this planet (Darwin and the Second Revolution) or that we are not completely rational beings with the possibility of full self-understanding (Freud and the Third Revolution); in this computer age we must also realize that we are not the only analytical beings with linguistic abilities, but that we share this property with other information-processing organisms. As such, the ability to measure the intelligence of these other entities is paramount. This book shows the way to attack this endeavor head on.
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