نتایج جستجو برای: playing approach

تعداد نتایج: 1318465  

2013
Daniel Krieg Joachim Stroth Matthias Kaschube Richard P. Feynman

Journal: :DEStech Transactions on Social Science, Education and Human Science 2018

Journal: :Applied sciences 2022

The genre characteristics of RPG (role-playing game), which have high expectations for sales and continuous profit generation, created a phenomenon that has attracted many developers to become interested in the market. However, recently, development been mass-produced includes similar content, sensational advertisements, low quality, excessive billing induction, negatively affected game market ...

1996
R. Cenni

The separated electromagnetic responses RL(q, ω) and RT (q, ω) for inclusive electron scattering off nuclei are studied within a functional scheme.

2017
Erin M. Bryant Jennifer Marmo Artemio Ramirez Artemio Ramirez

2013
Jacek Mandziuk Yew-Soon Ong Karol Waledzik

In this paper, we deal with the topic of multi-game playing, i.e. creating agents able to autonomously learn to play any game within some arbitrarily defined genre. We describe the motivation for research in this particular area and briefly summarize the most important undertakings. Subsequently, we present a relatively young multi-game playing platform, called the General Game Playing (GGP) an...

2017

This paper presents extensions and improvements of previous work, where we defined a CBR system for action selection in the robot soccer domain. We show empirical results obtained with real robots, comparing our team playing approach with an individualist approach. Source URL: https://www.iiia.csic.es/en/node/55378 Links [1] https://www.iiia.csic.es/en/staff/raquel-ros [2] https://www.iiia.csic...

Journal: :J. Inf. Sci. Eng. 2003
Ming-Da Wu Ying-Hong Liao Chuen-Tsai Sun

Game playing and genetic algorithms (GAs) are two important topics in artificial intelligence (AI). In this work we employ network tournament to assist in teaching these concepts associated with AI. Three exercises that implement a game-playing program are designed to help students learn relevant topics in AI. The first exercise involves game theory, e.g. mini-max search and alpha-beta pruning....

2008
Jan Lemeire

Computer algorithms for game playing rely on a state evaluation which is based on a set of features and patterns. Such evaluation can, however, never fully capture the full complexity of games such as chess, since the impact of a feature or a pattern on the game outcome heavily relies on the game’s context. It is a well-known problem in pattern-based learning that too many too specialized patte...

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