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Activity Number:
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175
- Contributed Poster Presentations: Section on Statistical Learning and Data Science
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Type:
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Contributed
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Date/Time:
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Monday, July 31, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Learning and Data Science
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Abstract #324674
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Title:
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Periodicity in Game Theory
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Author(s):
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Michael Alexander Smith* and Bret Benesh and Jamylle Carter and Deidra A. Coleman and Jack Good and Jennifer Travis and Mark Ward
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Companies:
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Purdue University and The College of St. Benedict/St. John's University and Diablo Valley College and Philander Smith College and Purdue University and Lone Star College-North Harris and Purdue University
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Keywords:
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Game Theory ;
Data Driven Analysis ;
Periodicities
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Abstract:
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We use data driven analysis to make conjectures about the periodicity of the structure of a two player game. The approach is computationally intensive (building on a database consisting of terabytes on data about the game) and utilizes tools of data science and some visualization. We are working towards an understanding of the structure of the game from a data driven perspective in an effort to characterize the precise periodicities. This work is supported by NSF grant DSM #1246818.
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Authors who are presenting talks have a * after their name.
