Machine learning and games
نویسندگان
چکیده
منابع مشابه
Machine Learning in Games: A Survey
This paper provides a survey of previously published work on machine learning in game playing. The material is organized around a variety of problems that typically arise in game playing and that can be solved with machine learning methods. This approach, we believe, allows both, researchers in game playing to find appropriate learning techniques for helping to solve their problems as well as m...
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While Artificial Intelligence has successfully outperformed humans in complex combinatorial games (such as chess and checkers), humans have retained their supremacy in social interactions that require intuition and adaptation, such as cooperation and coordination games. Despite significant advances in learning algorithms, most algorithms adapt at times scales which are not relevant for interact...
متن کاملGame Theoretic and Machine Learning Techniques for Balancing Games
Game balance is the problem of determining the fairness of actions or sets of actions in competitive, multiplayer games. This problem primarily arises in the context of designing board and video games. Traditionally, balance has been achieved through large amounts of play-testing and trial-and-error on the part of the designers. In this thesis, it is our intent to lay down the beginnings of a f...
متن کاملLearning about Recycling and Reuse through Pre-School Games
Learning about Recycling and Reuse through Pre-School Games S.M. Shobeyri, Ph.D. H. Meybodi A. Saraadipoor S. Rashidi Environmental education is the most fundamental approach to environmental protection and can begin from the pre-school level and through the use of games. To show the effectiveness of this approach, a random sample of 30 preschoolers of ages 5 and 6 was se...
متن کاملMachine Learning Techniques for Stackelberg Security Games: a Survey
The present survey aims at presenting the current machine learning techniques employed in security games domains. Specifically, we focused on papers and works developed by the Teamcore of University of Southern California, which deepened different directions in this field. After a brief introduction on Stackelberg Security Games (SSGs) and the poaching setting, the rest of the work presents how...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2006
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-006-8919-x