Experimental evidence for chaotic dynamics in decision-making (バイオ情報学)
スポンサーリンク
概要
- 論文の詳細を見る
In our previous studies, the non-random performance of decision-making without prior information (Blind Choice) has been indicated. This performance is well described by the Golden Ratio and its numerical properties through out experimental conditions. Therefore we have suggested existence of some common mechanism for the Blind Choice. Inthis paper, we discuss a new numerical method to study this mechanism. The basic idea behind this method is assumption of dynamical system employed for decision-making. The main result obtained using the method is extraction of a specific space describing the system's structures. Here we focus on the organization of this space's structure which is performed in accordance with interaction of repelling and attracting fixed point deployed across the space. These results suggest that mental information processing underlying the Blind Choice is based on a chaotic system. This system and the Golden Ratio are hypothesized to be contained in Implicit Primordial Knowledge.
- 一般社団法人情報処理学会の論文
- 2007-06-14
著者
-
INUI Toshio
Department of Psychology, Faculty of letters, Kyoto University
-
Inui Toshio
Department Of Intelligence Science And Technology Graduate School Of Informatics Kyoto University:js
-
Inui Toshio
Department Of Intelligence Science And Technology Graduate School Of Informatics Kyoto University
-
Tarasenko Sergey
Department Of Intelligence Science And Technology Graduate School Of Informatics Kyoto University
-
Abdikeev Niyaz
Faculty of Informatics, Plekhanov Russian Academy of Economics
-
Abdikeev Niyaz
Faculty Of Informatics Plekhanov Russian Academy Of Economics
関連論文
- Analysis of Small Vergence Eye-movement in Stereopsis with Random-dot Stereograms
- Facioscapulohumeral Muscular Dystrophy: Clinical Diversity and Genetic Abnormalities in Japanese Patients
- Experimental evidence for chaotic dynamics in decision-making (バイオ情報学)
- Perceptual Independence between Identity and Orientation in Shape Recognition
- Integration of Multiple Cues in Shape from Texture