Information about Test

  1. Artificial neural network

    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

    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

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

  4. Reinforcement

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

  5. Machine learning

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

  6. Behaviorism

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

  7. Deep learning

    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

    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

    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

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