Book Review – Good Video Games + Good Learning: Collected essays on video games, learning and literacy

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Learning to play public good games

We extend recent analyses of stochastic effects in game dynamical learning to cases of multiplayer games, and to games defined on networked structures. By means of an expansion in the noise strength we consider the weak-noise limit, and present an analytical computation of spectral properties of fluctuations in multi-player public good games. This extends existing work on two-player games. In p...

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Learning, Attentional Control, and Action Video Games

While humans have an incredible capacity to acquire new skills and alter their behavior as a result of experience, enhancements in performance are typically narrowly restricted to the parameters of the training environment, with little evidence of generalization to different, even seemingly highly related, tasks. Such specificity is a major obstacle for the development of many real-world traini...

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Video Games and Education: Designing Learning

Recently, attention has been paid to computer and video games as a medium for learning. This article provides a way of conceptualizing them as possibility spaces for learning. It provides an overview of two research programs: (1) an after-school program using commercial games to develop deep expertise in game play and game creation, and (2) an in-school program using game techniques to teach sc...

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Learning to Play 2D Video Games

Our goal in this project is to implement a machine learning system which learns to play simple 2D video games. More specifically, we focus on the problem of building a system that is capable of learning to play a variety of different games well, rather than trying to build a system that can play a single game perfectly. We begin by encoding individual video frames using features that capture th...

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Deep Apprenticeship Learning for Playing Video Games

Recently it has been shown that deep neural networks can learn to play Atari games by directly observing raw pixels of the playing area. We show how apprenticeship learning can be applied in this setting so that an agent can learn to perform a task (i.e. play a game) by observing the expert, without any explicitly provided knowledge of the game’s internal state or objectives. Background Mnih et...

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ژورنال

عنوان ژورنال: The International Review of Research in Open and Distributed Learning

سال: 2007

ISSN: 1492-3831

DOI: 10.19173/irrodl.v8i3.498