國立臺灣大學昆蟲學系暨研究所洪淑彬2006-07-252018-06-292006-07-252018-06-292004http://ntur.lib.ntu.edu.tw//handle/246246/12599豆象（Callosobruchus spp.）內食 性的生態特性，使得雌豆象對寄主的選 擇行為一直被視為攸關子代的存活競 爭的一種適應性行為。因此，雌豆象搜 尋的行為法則一直是產卵行為研究的 主要課題之一。本研究以行為錄影記錄 及彙整豆象搜尋經歷資料，配合功能性 編碼分析方式建立模式以瞭解豆象搜 尋過程中之訊息處理與決策。此行為分 析系統的建立預期將對探討生物訊息 處理過程及對行為生態學之研究有相 當助益。Animal cognition involves information processing and decision-making in a dynamic fashion. An apparatus to reveal the structure of cognitive processing is to encode the sequential behaviors into functional schemes so that the behavioral database can be dissected and reassembled without being constrained by unrealistic model assumptions. Specifically this set of new analyzing techniques is applied on the cognitive processing of the female bean weevil, Callosobruchus maculatus, which explores environment mainly for the ovipositional purpose. First, using functional coding schemes, individual female bean weevil’s longitudinal behavioral trajectory across a geometric landscape is coded into a two-level hierarchy code sequences. With each code standing for a biological state and, at the same time, representing a random generating algorithm, the main use of this algorithmic composition is to serve as a spatial-temporal platform to explore pattern recognitions on the beetle’s cognitive processing. The underpinning is that statistically this hierarchy is a new way of summarizing behavioral data by mapping out possible non-stationarity of the underlying cognitive mechanisms behind the observed behavioral database. Consequently our approach is very useful to preserve the individual beetle’s local as well as global cognitive templates and patterns, and its temporal orders driven by physiological outputs as responses to the changes in environmental conditions. As a final product, a structural system of recognized patterns on a coherent data-driven timescale potentially is a very valuable model in cognitive science and behavioral ecology.application/pdf177470 bytesapplication/pdfzh-TW國立臺灣大學昆蟲學系暨研究所Callosobruchus maculatusalgorithmic compositionfunctional coding schemepattern recognitionreporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/12599/1/922313B002061.pdf