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Scientific Workflows for Game Analytics

Scientific Workflows for Game Analytics

Apostolos Georgas, Dimitris Kalles, Vasileios A. Tatsis
Copyright: © 2014 |Pages: 11
ISBN13: 9781466652026|ISBN10: 1466652020|EISBN13: 9781466652033
DOI: 10.4018/978-1-4666-5202-6.ch190
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MLA

Georgas, Apostolos, et al. "Scientific Workflows for Game Analytics." Encyclopedia of Business Analytics and Optimization, edited by John Wang, IGI Global, 2014, pp. 2115-2125. https://doi.org/10.4018/978-1-4666-5202-6.ch190

APA

Georgas, A., Kalles, D., & Tatsis, V. A. (2014). Scientific Workflows for Game Analytics. In J. Wang (Ed.), Encyclopedia of Business Analytics and Optimization (pp. 2115-2125). IGI Global. https://doi.org/10.4018/978-1-4666-5202-6.ch190

Chicago

Georgas, Apostolos, Dimitris Kalles, and Vasileios A. Tatsis. "Scientific Workflows for Game Analytics." In Encyclopedia of Business Analytics and Optimization, edited by John Wang, 2115-2125. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5202-6.ch190

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Abstract

Scientific workflows bring together the logistics of complex e-science applications and software services in a user friendly environment. This has become more pronounced with the porting of such applications to the Grid. We report on the design and implementation of scientific workflows to investigate game learning using two of the most widely used scientific workflows systems, Taverna and Kepler, as well as a workflow portal, WS-PGrade. Besides the engineering insight, we offer experimental evidence on how one can set up complex computational processes for investigating interactions between autonomous players, with the final aim of designing optimized interaction sequences for machine learning of playing tactics.

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