Metoyer, R., Stumpf, S. , Neumann, C., Dodge, J., Cao, J. and Schnabel, A. (2010) Explaining how to play real-time strategy games. Knowledge-Based Systems, 23(4), pp. 295-301. (doi: 10.1016/j.knosys.2009.11.006)
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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: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| 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 |
| Journal Name: | Knowledge-Based Systems |
| Publisher: | Elsevier |
| ISSN: | 0950-7051 |
| ISSN (Online): | 1872-7409 |
| Published Online: | 22 November 2009 |
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