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Simulating brain functions based on computational learning theory
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Simulating brain functions based on computational learning theory

01/04/2011–31/03/2014

抄録

Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research, Category: Grant-in-Aid for Scientific Research (B), Fund Type: -, Overall Grant Amount: - (direct: 14700000, indirect: 4410000) In this study, we construct various models of brain functions, such as motion, thinking and memory based on computational learning theory, and analyze their behavior in the following fashion: (1) we construct a state transition model for the motion and simulate the robot motion using this model, (2) we construct a neural network model for the memory and analyze its behavior, and (3) we design an efficient algorithm for card game playing using Monte Carlo Simulation. Finally we construct a unified methodology for simulating brain functions based on the above results.

ファイルとリンク (1)

url
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23300055表示

メトリック

1 レコードビュー

詳細

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