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 first volume investigates the coming together

Foundations of Artificial Intelligence and Robotics

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    A Paperback by Wendell H. Chun

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    Order before 4pm on Saturday for delivery by Tue 17 Nov 2026.

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      Book details

      Publisher Taylor & Francis
      Published 9 October 2026
      ISBN-13 9781032673127
      978-1032673127
      ISBN-10 1032673125
      Also in:
      Robotics

      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 first volume investigates the coming together

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