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Statistical Analysis in MiroSot

By J. L. Baxter, J. M. Garibaldi, E. K. Burke and M. Norman

Abstract

The world of robot soccer is a subjective one due to the di cult nature of collecting data. In this paper we present a number of non-parametric statistical tests that can be used to analyze the performance of strategies without the need for a large sample size. We present results that show a \case-based " strategy performs signi cantly better (statistically) than a \potential eld " strategy in simulation based on a sample of only ten games. These populations have the same variance."

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.335
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