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Action selection under constraints: dynamic optimization of behavior in machines and humans

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3 Author(s)
Kozma, R. ; Dept. of Math. Sci., Univ. of Memphis, TN, USA ; Harter, D. ; Achunala, S.

Biological brains are capable of adaptive behavior to sustain performance in tasks in the face of increasingly difficult constraints.. We present a task with varying conditions of resource and time constraints. We compare our heuristic and neural network models to human data and speculate about dynamic mechanisms of action selection

Published in:

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:3 )

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