A Model for Intelligence
Author | : H.J. Eysenck |
Publisher | : Springer Science & Business Media |
Total Pages | : 481 |
Release | : 2012-12-06 |
Genre | : Psychology |
ISBN | : 3642686648 |
with contributions by numerous experts
Download A Model For Intelligence full books in PDF, epub, and Kindle. Read online free A Model For Intelligence ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : H.J. Eysenck |
Publisher | : Springer Science & Business Media |
Total Pages | : 481 |
Release | : 2012-12-06 |
Genre | : Psychology |
ISBN | : 3642686648 |
with contributions by numerous experts
Author | : H.J. Eysenck |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2011-12-07 |
Genre | : Psychology |
ISBN | : 9783642686665 |
with contributions by numerous experts
Author | : Jeff Hawkins |
Publisher | : Basic Books |
Total Pages | : 251 |
Release | : 2021-03-02 |
Genre | : Computers |
ISBN | : 1541675800 |
A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world—not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. One of the Financial Times' Best Books of 2021 One of Bill Gates' Five Favorite Books of 2021
Author | : Jeff Hawkins |
Publisher | : Macmillan |
Total Pages | : 276 |
Release | : 2007-04-01 |
Genre | : Computers |
ISBN | : 1429900458 |
From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.
Author | : Ben Goertzel |
Publisher | : Springer Science & Business Media |
Total Pages | : 232 |
Release | : 2013-03-07 |
Genre | : Psychology |
ISBN | : 146124336X |
0. 0 Psychology versus Complex Systems Science Over the last century, psychology has become much less of an art and much more of a science. Philosophical speculation is out; data collection is in. In many ways this has been a very positive trend. Cognitive science (Mandler, 1985) has given us scientific analyses of a variety of intelligent behaviors: short-term memory, language processing, vision processing, etc. And thanks to molecular psychology (Franklin, 1985), we now have a rudimentary understanding of the chemical processes underlying personality and mental illness. However, there is a growing feeling-particularly among non-psychologists (see e. g. Sommerhoff, 1990) - that, with the new emphasis on data collection, something important has been lost. Very little attention is paid to the question of how it all fits together. The early psychologists, and the classical philosophers of mind, were concerned with the general nature of mentality as much as with the mechanisms underlying specific phenomena. But the new, scientific psychology has made disappointingly little progress toward the resolution of these more general questions. One way to deal with this complaint is to dismiss the questions themselves. After all, one might argue, a scientific psychology cannot be expected to deal with fuzzy philosophical questions that probably have little empirical signifi cance. It is interesting that behaviorists and cognitive scientists tend to be in agreement regarding the question of the overall structure of the mind.
Author | : Jacques Lautrey |
Publisher | : Amer Psychological Assn |
Total Pages | : 373 |
Release | : 2003-01 |
Genre | : Medical |
ISBN | : 9781557989710 |
This volume brings together leading scholars in intelligence research to present various perspectives. Each contributor builds upon past studies of intelligence and explores new ideas that differ radically from traditional notions about intelligence. Contributors also examine how intelligence changes over the lifespan, focusing on such issues as the importance of environmental context in determining intelligence and the importance of understanding how intelligence relates to other constructs like emotion and temperament.
Author | : Tommaso Mansi |
Publisher | : Academic Press |
Total Pages | : 274 |
Release | : 2019-11-28 |
Genre | : Science |
ISBN | : 012817594X |
Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.
Author | : Robert J. Sternberg |
Publisher | : Cambridge University Press |
Total Pages | : 351 |
Release | : 2018-01-11 |
Genre | : Education |
ISBN | : 1107176573 |
Provides an overview of leading scholars' approaches to understanding the nature of intelligence, its measurement, its investigation, and its development.
Author | : Randall D. Beer |
Publisher | : |
Total Pages | : 248 |
Release | : 1990 |
Genre | : Science |
ISBN | : |
The "intelligence" of traditional artificial intelligence systems is notoriously narrow and inflexible--incapable of adapting to the constantly changing circumstances of the real world. Although traditional artificial intelligence systems can be successful in narrowly prescribed domains, they are inappropriate for dynamic, complex domains, such as autonomous robot navigation.**This book proposes an alternative methodology for designing intelligent systems based on a model of intelligence as adaptive behavior. The author describes an experiment in computational neuroethology--the computer modeling of neuronal control of behavior--in which the nervous system for an artificial insect is modeled. The experiment demonstrates that simple, complete intelligent agents are able to cope with complex, dynamic environments--suggesting that adaptive models of intelligence, based on biological bases of adaptive behavior, may prove to be very useful in the design of intelligent, autonomous systems
Author | : Melanie Mitchell |
Publisher | : Farrar, Straus and Giroux |
Total Pages | : 336 |
Release | : 2019-10-15 |
Genre | : Computers |
ISBN | : 0374715238 |
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.