IEEE Transactions on Computational Intelligence and AI in Games

Issue 1 • March 2012

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  • Table of contents

    Publication Year: 2012, Page(s): C1
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  • IEEE Transactions on Computational Intelligence and AI in Games publication information

    Publication Year: 2012, Page(s): C2
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  • A Survey of Monte Carlo Tree Search Methods

    Publication Year: 2012, Page(s):1 - 43
    Cited by:  Papers (295)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2846 KB) | HTML iconHTML

    Monte Carlo tree search (MCTS) is a recently proposed search method that combines the precision of tree search with the generality of random sampling. It has received considerable interest due to its spectacular success in the difficult problem of computer Go, but has also proved beneficial in a range of other domains. This paper is a survey of the literature to date, intended to provide a snapsho... View full abstract»

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  • Neurovisual Control in the Quake II Environment

    Publication Year: 2012, Page(s):44 - 54
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1265 KB) | HTML iconHTML

    A wide variety of tasks may be performed by humans using only visual data as input. Creating artificial intelligence that adequately uses visual data allows controllers to use single cameras for input and to interact with computer games by merely reading the screen render. In this research, we use the Quake II game environment to compare various techniques that train neural network (NN) controller... View full abstract»

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  • The Mario AI Benchmark and Competitions

    Publication Year: 2012, Page(s):55 - 67
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1018 KB) | HTML iconHTML

    This paper describes the Mario AI benchmark, a game-based benchmark for reinforcement learning algorithms and game AI techniques developed by the authors. The benchmark is based on a public domain clone of Nintendo's classic platform game Super Mario Bros, and completely open source. During the last two years, the benchmark has been used in a number of competitions associated with international co... View full abstract»

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  • Monte Carlo Beam Search

    Publication Year: 2012, Page(s):68 - 72
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (481 KB) | HTML iconHTML

    Monte Carlo tree search is the state of the art for multiple games and for solving puzzles such as Morpion Solitaire. Nested Monte Carlo (NMC) search is a Monte Carlo tree search algorithm that works well for solving puzzles. We propose to enhance NMC search with beam search. We test the algorithm on Morpion Solitaire. Thanks to beam search, our program has been able to match the record score of 8... View full abstract»

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  • IEEE Computational Intelligence Society Information

    Publication Year: 2012, Page(s): C3
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  • IEEE Transactions on Computational Intelligence and AI in Games information for authors

    Publication Year: 2012, Page(s): C4
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Aims & Scope

The IEEE Transactions on Computational Intelligence and AI in Games (T-CIAIG) publishes archival journal quality original papers in computational intelligence and related areas in artificial intelligence applied to games, including but not limited to videogames, mathematical games, human–computer interactions in games, and games involving physical objects. Emphasis is placed on the use of these methods to improve performance in and understanding of the dynamics of games, as well as gaining insight into the properties of the methods as applied to games. It also includes using games as a platform for building intelligent embedded agents for the real world. Papers connecting games to all areas of computational intelligence and traditional AI are considered.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Graham Kendall
The University of Nottingham
Jalan Broga, 43500 Semenyih
Selangor Darul Ehsan, Malaysia
Tel.: +6(30) 8924 8306
Fax: +6(30) 8924 8299
graham.kendall@nottingham.ac.uk
http://www.graham-kendall.com

Editorial Assistant
Wendy Knibb
wendy.knibb@gmail.com