Explaining how to play real-time strategy games

Metoyer, R., Stumpf, S. , Neumann, C., Dodge, J., Cao, J. and Schnabel, A. (2009) Explaining how to play real-time strategy games. In: Bramer, M., Ellis, R. and Petridis, M. (eds.) Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII. Springer: London, pp. 249-262. ISBN 9781848829824 (doi: 10.1007/978-1-84882-983-1_18)

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Abstract

Real-time strategy games share many aspects with real situations in domains such as battle planning, air traffic control, and emergency response team management which makes them appealing test-beds for Artificial Intelligence (AI) and machine learning. End user annotations could help to provide supplemental information for learning algorithms, especially when training data is sparse. This paper presents a formative study to uncover how experienced users explain game play in real-time strategy games. We report the results of our analysis of explanations and discuss their characteristics that could support the design of systems for use by experienced real-time strategy game users in specifying or annotating strategy-oriented behavior.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Stumpf, Dr Simone
Authors: Metoyer, R., Stumpf, S., Neumann, C., Dodge, J., Cao, J., and Schnabel, A.
College/School:College of Science and Engineering > School of Computing Science
Publisher:Springer
ISBN:9781848829824
Published Online:19 October 2009

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