Information about Test

  1. Artificial neural network

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    ANNs serve as the learning component in such applications. Dynamic programming coupled with ANNs (giving neurodynamic programming) has been applied to

  2. Social learning theory

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    absence of motor reproduction or direct reinforcement. In addition to the observation of behavior, learning also occurs through the observation of rewards

  3. Programmed learning

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    Programmed learning (or programmed instruction) is a research-based system which helps learners work successfully. The method is guided by research done

  4. Reinforcement

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    In behavioral psychology, reinforcement is a consequence applied that will strengthen an organism's future behavior whenever that behavior is preceded

  5. Machine learning

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    learning, the environment is typically represented as a Markov Decision Process (MDP). Many reinforcement learning algorithms use dynamic programming

  6. Behaviorism

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    or a consequence of that individual's history, including especially reinforcement and punishment contingencies, together with the individual's current

  7. Deep learning

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    Deep learning (also known as deep structured learning or differential programming) is part of a broader family of machine learning methods based on artificial

  8. Operant conditioning

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    conditioning) is a type of associative learning process through which the strength of a behavior is modified by reinforcement or punishment. It is also a procedure

  9. Learning

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    of social learning which takes various forms, based on various processes. In humans, this form of learning seems to not need reinforcement to occur, but

  10. B. F. Skinner

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    the last reinforcement. This schedule yields steady responding at a rate that varies with the average frequency of reinforcement. (e.g., learning Japanese

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