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This work lies in the fusion of experimental economics and data mining. Itcontinues author's previous work on mining behaviour rules of human subjectsfrom experimental data, where game-theoretic predictions partially fail towork. Game-theoretic predictions aka equilibria only tend to success withexperienced subjects on specific games, what is rarely given. Apart from gametheory, contemporary experimental economics offers a number of alternativemodels. In relevant literature, these models are always biased by psychologicaland near-psychological theories and are claimed to be proven by the data. Thiswork introduces a data mining approach to the problem without using vastpsychological background. Apart from determinism, no other biases are regarded.Two datasets from different human subject experiments are taken for evaluation.The first one is a repeated mixed strategy zero sum game and the second -repeated ultimatum game. As result, the way of mining deterministicregularities in human strategic behaviour is described and evaluated. As futurework, the design of a new representation formalism is discussed.

Mining Determinism in Human Strategic Behavior