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Zusatztext “Professor James A. Anderson presents historical and evolutionary arguments emphasizing current attempts to understand biological computation within a digital computer context [that] may lead to computationally easy or sociologically popular solutions which unfortunately are dangerously misleading or even wrong. Anderson's writing style is best described as a fun, fascinating, and entertaining dinner conversation where seemingly innocent conversation threads consisting of interesting anecdote sequences incrementally reveal novel insights about the strengths, limits, and future of both biological and digital computation. Required reading for anyone interested in how biological systems compute as well as anyone interested in exploiting biological constraints for developing smart machines!> Informationen zum Autor James A. Anderson has been a member of the faculty of Brown University since 1973 and is now Professor in the Department of Cognitive, Linguistic and Psychological Sciences. He received an SB in physics and PhD in physiology both from MIT. He has published extensively in the area of computational models for cognition and memory and computational neuroscience. Klappentext After Digital looks at where the field of computation began and where it might be headed, and offers predictions about a collaborative future relationship between human cognition and mechanical computation. Zusammenfassung After Digital looks at where the field of computation began and where it might be headed, and offers predictions about a collaborative future relationship between human cognition and mechanical computation. Inhaltsverzeichnis Preface Chapter 1: The Past of the Future of Computation Chapter 2: Computing Hardware: Analog Chapter 3: Computing Hardware: Digital Chapter 4: Software: Making a Digital Computer Do Something Useful Chapter 5: Human Understanding of Complex Systems Chapter 6: An Engineer's Introduction to Neuroscience Chapter 7: The Brain Works by Logic Chapter 8: The Brain Doesn't Work by Logic Chapter 9: Association Chapter 10: Cerebral Cortex: Basics Chapter 11: Cerebral Cortex: Columns and Collaterals Chapter 12: Brain Theory: History Chapter 13: Brain Theory: Constraints Chapter 14: Programming Chapter 15: Brain Theory: Numbers Chapter 16: Return to Cognitive Science Chapter 17: Loose Ends: Biological and Artificial Chapter 18: The Near Future Chapter 19: Apotheosis: Yes! Or No? Notes Index ...