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Artificial Intelligence

Artificial Intelligence

Artificial Intelligence

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem-solving".

As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. A quip in Tesler's Theorem says "AI is whatever hasn't been done yet." For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomously operating cars, intelligent routing in content delivery networks, and military simulations.


  1. Representation And Methods

  2. The Intelligent Computer

  3. What Artificial Intelligence Can do

  4. Python for Artificial Intelligence

  5. Agents and Control

  6. Searching for Solutions

  7. Reasoning with Constraints

  8. Propositions and Inference

  9. Planning with Certainty

  10. Supervised Machine Learning

  11. Reasoning Under Uncertainty

  12. Planning with Uncertainty

  13. Learning with Uncertainty

  14. Multiagent Systems

  15. Reinforcement Learning

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