The Computational Evolution of Cognitive Architectures (Hardcover)
Language: English
Published by Oxford University Press, Oxford, 2025
- Hardcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Condition: New
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Hardcover. What is the human mind, and how does it work? These questions have occupied humanity since antiquity but have only recently received rigorous scientific investigation. Cognitive architectures are complex software programs whose goal is to approach human-like behavior on a wide variety of tasks. This is accomplished by employing human-like, or at least human-plausible, mechanisms within an integrated framework that is claimed representative of human cognitive,perceptual, and movement capabilities. By examining how close their behavior is to human, they help us understand how the human mind and brain work. They contribute to our understanding as computationalmodels that can be tested and whose details in turn provide insights on new aspects of the human brain and mind. This field of cognitive architectures emerged at the intersection of artificial intelligence and cognitive science and in less than fifty years has spawned hundreds of projects.In The Computational Evolution of Cognitive Architectures, the authors trace the evolution of cognitive architectures, their abilities, and future prospects, from their earlylogic-based beginnings to their recent melding of classic methodologies with deep learning concepts. Analyzing over 3000 publications on more than eighty cognitive architectures and hundreds more surveys, researchpapers, and opinion pieces spanning philosophy, cognitive science, computer science, and robotics, the authors aggregate their findings into broad themes, such as common components of the architectures, their organization, interaction, and relation to human cognitive abilities. They discuss both theoretical elements of cognitive architectures and their performance before finally considering the future of cognitive architectures and their challenges. In this volume, the authors trace the evolution of cognitive architectures, their abilities, and future prospects, from their early logic-based beginnings to their recent melding of classic methodologies with deep learning concepts. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9780192844835
- Title
- The Computational Evolution of Cognitive Architectures (Hardcover)
- Author
- Dr Iuliia Kotseruba
- Publisher
- Oxford University Press, Oxford
- Publication year
- 2025
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0192844830
- ISBN 13
- 9780192844835
In The Computational Evolution of Cognitive Architectures, the authors trace the evolution of cognitive architectures, their abilities, and future prospects, from their early logic-based beginnings to their recent melding of classic methodologies with deep learning concepts. Analyzing over 3000 publications on more than eighty cognitive architectures and hundreds more surveys, research papers, and opinion pieces spanning philosophy, cognitive science, computer science, and robotics, the authors aggregate their findings into broad themes, such as common components of the architectures, their organization, interaction, and relation to human cognitive abilities. They discuss both theoretical elements of cognitive architectures and their performance before finally considering the future of cognitive architectures and their challenges.
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About the Author
John Tsotsos is Distinguished Research Professor of Vision Science, York University, Canada. He received his PhD in Computer Science from the University of Toronto in 1980, joined their faculty, and founded the University of Toronto's Computer Vision Group, leading it for 20 years. He moved to York University in 2000 as Director, Centre for Vision Research. His honours include CIFAR Fellow, Canada Research Chair in Computational Vision, IEEE Life Fellow, Fellow Canadian Academy of Engineering, and Fellow of the Royal Society of Canada. He received the 2015 Sir John William Dawson Medal for sustained excellence in multidisciplinary research and the 2020 CS-Can
"About the title" may belong to another edition of this title.
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