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Journal article
A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft
IEEE transactions on computational intelligence and AI in games, v 5(4), pp 293-311
Dec 2013
Abstract
This paper presents an overview of the existing work on AI for real-time strategy (RTS) games. Specifically, we focus on the work around the game StarCraft, which has emerged in the past few years as the unified test bed for this research. We describe the specific AI challenges posed by RTS games, and overview the solutions that have been explored to address them. Additionally, we also present a summary of the results of the recent StarCraft AI competitions, describing the architectures used by the participants. Finally, we conclude with a discussion emphasizing which problems in the context of RTS game AI have been solved, and which remain open.
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Details
- Title
- A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft
- Creators
- Santiago Ontanon - Drexel UniversityGabriel Synnaeve - Lab. of Cognitive Sci. & Psycholinguistics (LSCP), Ecole Normale Super. (ENS), Paris, FranceAlberto Uriarte - Drexel UniversityFlorian Richoux - University of NantesDavid Churchill - University of AlbertaMike Preuss - European Research Center for Information Systems
- Publication Details
- IEEE transactions on computational intelligence and AI in games, v 5(4), pp 293-311
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000328732600001
- Scopus ID
- 2-s2.0-84890950508
- Other Identifier
- 991019167818604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering