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  2. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  3. Rule-based system - Wikipedia

    en.wikipedia.org/wiki/Rule-based_system

    In computer science, a rule-based system is a computer system in which domain-specific knowledge is represented in the form of rules and general-purpose reasoning is used to solve problems in the domain. Two different kinds of rule-based systems emerged within the field of artificial intelligence in the 1970s:

  4. Expert system - Wikipedia

    en.wikipedia.org/wiki/Expert_system

    In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. [1] Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural programming code. [2]

  5. Outline of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Outline_of_artificial...

    International Joint Conferences on Artificial Intelligence; Machine Intelligence Research Institute; Partnership on AI – founded in September 2016 by Amazon, Facebook, Google, IBM, and Microsoft. Apple joined in January 2017. It focuses on establishing best practices for artificial intelligence systems and to educate the public about AI.

  6. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    A network is typically called a deep neural network if it has at least two hidden layers. [3] Artificial neural networks are used for various tasks, including predictive modeling, adaptive control, and solving problems in artificial intelligence. They can learn from experience, and can derive conclusions from a complex and seemingly unrelated ...

  7. Automated planning and scheduling - Wikipedia

    en.wikipedia.org/wiki/Automated_planning_and...

    Given a description of the possible initial states of the world, a description of the desired goals, and a description of a set of possible actions, the planning problem is to synthesize a plan that is guaranteed (when applied to any of the initial states) to generate a state which contains the desired goals (such a state is called a goal state).

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