Description

Book Synopsis

Artificial intelligence (AI) is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software. Meanwhile, robotics is an engineering field that compliments AI. There can be situations where AI can function without a robot (e.g., Turing Test) and robotics without AI (e.g., teleoperation), but in many cases, each technology requires each other to exhibit a complete system: having smart robots and AI being able to control its interactions (i.e., effectors) with its environment. This book provides a complete history of computing, AI, and robotics from its early development to stateâofâtheâart technology, providing a roadmap of these complicated and constantly evolving subjects.

Divided into two volumes covering the progress of symbolic logic and the explosion in learning/deep learning in natural language and perception, this second volume goes more inâdepth into the his

Foundations of Artificial Intelligence and

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    A Hardback by Wendell H. Chun

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      Book details

      Publisher CRC Press
      Published 12/24/2024
      ISBN-13 9781032673141
      978-1032673141
      ISBN-10 1032673141

      Description

      Book Synopsis

      Artificial intelligence (AI) is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software. Meanwhile, robotics is an engineering field that compliments AI. There can be situations where AI can function without a robot (e.g., Turing Test) and robotics without AI (e.g., teleoperation), but in many cases, each technology requires each other to exhibit a complete system: having smart robots and AI being able to control its interactions (i.e., effectors) with its environment. This book provides a complete history of computing, AI, and robotics from its early development to stateâofâtheâart technology, providing a roadmap of these complicated and constantly evolving subjects.

      Divided into two volumes covering the progress of symbolic logic and the explosion in learning/deep learning in natural language and perception, this second volume goes more inâdepth into the his

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