IEEE Transactions on Computational Intelligence and AI in Games
Published by IEEE
ISSN : 1943-068X eISSN : 1943-0698
Abbreviation : IEEE Trans. Comput. Intell. AI Game
Aims & Scope
Cessation.
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.
View Aims & ScopeAbstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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A Survey of Monte Carlo Tree Search Methods
Citation: 1915
Authors: Cameron B., Edward, Daniel, Simon M., Peter I., Philipp, Stephen, Diego, Spyridon, Simon
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Search-Based Procedural Content Generation: A Taxonomy and Survey
Citation: 422
Authors: Julian, Georgios N., Kenneth O., Cameron
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A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft
Citation: 253
Authors: Santiago, Gabriel, Alberto, Florian, David, Mike
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Two Brains, One Game: Design and Evaluation of a Multiuser BCI Video Game Based on Motor Imagery
Citation: 144
Authors: Laurent, Fabien, Anatole