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Natural General Intelligence: How understanding the brain can help us build AI - Hardcover

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9780192843883: Natural General Intelligence: How understanding the brain can help us build AI
  • PublisherOxford University Press
  • Publication date2023
  • ISBN 10 0192843885
  • ISBN 13 9780192843883
  • BindingHardcover
  • LanguageEnglish
  • Number of pages352
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    • 4.53 out of 5 stars
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Summerfield, Christopher
Published by Oxford University Press, 2023
ISBN 10: 0192843885 ISBN 13: 9780192843883
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Published by Oxford University Press, 2022
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Hardcover. Condition: Near Fine. Dust Jacket Condition: Very Good. 1st Edition. A close to Fine 1st Edition copy with unmarked text & illustrations, no inscriptions, no wear to binding and black cloth boards displaying a minor trace of use to crown of spine only. The dust wrapper remains Very Good/highly presentable with some traces of surface wear to top edge/top corner tips. Please see five pictures attached for a closer look. Seller Inventory # ABE-1745244448595

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Published by Oxford University Press, Oxford, 2022
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Hardcover. Condition: new. Hardcover. Since the time of Turing, computer scientists have dreamed of building artificial general intelligence (AGI) - a system that can think, learn and act as humans do. Over recent years, the remarkable pace of progress in machine learning research has reawakened discussions about AGI. But what would a generally intelligent agent be able to do? What algorithms, architectures, or cognitive functions would it need? To answer these questions, we turn to the study of naturalintelligence. Humans (and many other animals) have evolved precisely the sorts of generality of function that AI researchers see as the defining hallmark of intelligence. The fields of cognitivescience and neuroscience have provided us with a language for describing the ingredients of natural intelligence in terms of computational mechanisms and cognitive functions and studied their implementation in neural circuits. Natural General Intelligence describes the algorithms and architectures that are driving progress in AI research in this language, by comparing current AI systems and biological brains side by side. In doing so, it addresses deep conceptualissues concerning how perceptual, memory and control systems work, and discusses the language in which we think and the structure of our knowledge. It also grapples with longstanding controversies about thenature of intelligence, and whether AI researchers should look to biology for inspiration. Ultimately, Summerfield aims to provide a bridge between the theories of those who study biological brains and the practice of those who are seeking to build artificial brains. Natural General Intelligence aims to provide a bridge between the theories of those who study biological brains and the practice of those who are seeking to build artificial brains. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780192843883

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