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Abstract. Behavioral sequences of the medaka (Oryzias latipes) were continuously investigated through an automatic image recognition system in increasing temperature from 25¢ª¬³ to 35¢ªC. The observation of behavior through the movement tracking program showed many patterns of the medaka. After much observation, behavioral patterns could be divided into basically 4 patterns: active-smooth, active-shaking, inactive-smooth, and inactive-shaking. The ¡°smooth¡± and ¡°shaking¡± patterns were shown as normal movement behavior, while the ¡°smooth¡± pattern was more frequently observed in increasing temperature (35¢ª¬³) than the ¡°shaking¡± pattern. Each pattern was classified using a devised decision tree after the feature choice. It provides a natural way to incorporate prior knowledge from human experts and contains the information in a logical expression tree. The main focus of this study was to determine whether the decision tree could be useful in interpreting and classifying behavior patterns of the medaka.
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