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Scientific Workflows for Game Analytics
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Author(s): Apostolos Georgas (Hellenic Open University, Greece), Dimitris Kalles (Hellenic Open University, Greece)and Vasileios A. Tatsis (Institute of Physical Chemistry, University of Muenster, Germany & Hellenic Open University, Greece)
Copyright: 2014
Pages: 11
Source title:
Encyclopedia of Business Analytics and Optimization
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 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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