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  2. Matchbox Educable Noughts and Crosses Engine - Wikipedia

    en.wikipedia.org/wiki/Matchbox_Educable_Noughts...

    It was designed to play human opponents in games of noughts and crosses (tic-tac-toe) by returning a move for any given state of play and to refine its strategy through reinforcement learning. This was one of the first types of artificial intelligence.

  3. Response-prompting procedures - Wikipedia

    en.wikipedia.org/wiki/Response-prompting_procedures

    Because teachers are required to use multiple types of prompts (e.g., verbal and physical prompts), the SLP prompting procedure may be complicated for use in typical settings, [6] but may be similar to non-systematic teaching [7] procedures typically used by teachers that involve giving learners an opportunity to exhibit a behavior ...

  4. Games and learning - Wikipedia

    en.wikipedia.org/wiki/Games_and_learning

    Games alone will not make schools more efficient, cannot replace teachers or serve as an educational resource that can reach an infinite number of students. The extent of the roles games will play in learning remains to be seen. More research in this area is needed to determine impact of games and learning.

  5. Fair game: More teachers are 'gaming' during lessons, but is ...

    www.aol.com/fair-game-more-teachers-gaming...

    Jul. 16—Games are shaking up the classroom — not as a student distraction but as a new learning mode. Gamification — the implementation of gamelike elements — is becoming increasingly ...

  6. Self-play - Wikipedia

    en.wikipedia.org/wiki/Self-play

    In multi-agent reinforcement learning experiments, researchers try to optimize the performance of a learning agent on a given task, in cooperation or competition with one or more agents. These agents learn by trial-and-error, and researchers may choose to have the learning algorithm play the role of two or more of the different agents.

  7. Neuroevolution - Wikipedia

    en.wikipedia.org/wiki/Neuroevolution

    For example, the outcome of a game (i.e., whether one player won or lost) can be easily measured without providing labeled examples of desired strategies. Neuroevolution is commonly used as part of the reinforcement learning paradigm, and it can be contrasted with conventional deep learning techniques that use backpropagation ( gradient descent ...

  8. Gamification of learning - Wikipedia

    en.wikipedia.org/wiki/Gamification_of_learning

    The teacher may also publish a leaderboard online which illustrates the students who have earned the most XP, or reached the highest level of play. The teacher may define the parameters of the classroom "game", giving the ultimate learning goal a name, defining the learning tasks which make up the unit or the course, and specifying the rewards ...

  9. What Video Games Have to Teach Us About Learning and Literacy

    en.wikipedia.org/wiki/What_Video_Games_Have_to...

    Katie Salen promotes games as a learning tool for the 21st century. She helped design and launch Quest to Learn [11] where learning takes place by playing and exploring games. The curriculum is organized around the idea that "digital games are central to the lives of today's children and also increasingly, as their speed and capabilities grow ...