❰Reading❯ ➿ Perceptrons: An Introduction to Computational Geometry, Expanded Edition Author Marvin Minsky – Sustanon.pro Perceptrons the first systematic study of parallelism in computation has remained a classical work on threshold automata networks for nearly two decades It marked a historical turn in artificial intelPerceptrons the first systematic study of parallelism in computation has remained a classical work on threshold automata networks for nearly two decades It marked a historical turn in artificial intelligence and it is reuired reading for anyone who wants to understand the connectionist counterrevolution that is going on today Artificial intelligence research which for a time concentrated on the programming of ton Neumann computers is swinging back to the idea that intelligence might emerge from the activity of networks of neuronlike entities Minsky and Papert's book was the first example of a mathematical analysis carried far enough to show the exact limitations of a class of computing machines that could seriously be considered as models of the brain Now the new developments in mathematical tools the recent interest of physicists in the theory of disordered matter the new insights into and psychological models of how the brain works and the evolution of fast computers that can simulate networks of automata have given Perceptrons new importanceWitnessing the swing of the intellectual pendulum Minsky and Papert have added a new chapter in which they discuss the current state of parallel computers review developments since the appearance of the 1972 edition and identify new research directions related to connectionism They note a central theoretical challenge facing connectionism the challenge to reach a deeper understanding of how objects or agents with individuality can emerge in a network Progress in this area would link connectionism with what the authors have called society theories of mind Marvin L Minsky is Donner Professor of Science in MIT's Electrical Engineering and Computer Science Department Seymour A Papert is Professor of Media Technology at MIT.

Perceptrons the first systematic study of parallelism in computation has remained a classical work on threshold automata networks for nearly two decades It marked a historical turn in artificial intelligence and it is reuired reading for anyone who wants to understand the connectionist counterrevolution that is going on today Artificial intelligence research which for a time concentrated on the programming of ton Neumann computers is swinging back to the idea that intelligence might emerge from the activity of networks of neuronlike entities Minsky and Papert's book was the first example of a mathematical analysis carried far enough to show the exact limitations of a class of computing machines that could seriously be considered as models of the brain Now the new developments in mathematical tools the recent interest of physicists in the theory of disordered matter the new insights into and psychological models of how the brain works and the evolution of fast computers that can simulate networks of automata have given Perceptrons new importanceWitnessing the swing of the intellectual pendulum Minsky and Papert have added a new chapter in which they discuss the current state of parallel computers review developments since the appearance of the 1972 edition and identify new research directions related to connectionism They note a central theoretical challenge facing connectionism the challenge to reach a deeper understanding of how objects or agents with individuality can emerge in a network Progress in this area would link connectionism with what the authors have called society theories of mind Marvin L Minsky is Donner Professor of Science in MIT's Electrical Engineering and Computer Science Department Seymour A Papert is Professor of Media Technology at MIT.

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