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A Neural Network-Based Approach to Modeling the Allocation of Behaviors in Concurrent Schedule, Variable Interval Learning

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3 Author(s)
Erica J. Newland ; Dept. of Comput. Sci., Yale Univ., New Haven, CT ; Songhua Xu ; Willard L. Miranker

In this paper we present a neural network-based model of the acquisition of choice behaviors. We employ a multi-layer perceptron, trained using backpropagation with a modified desired-output vector, to model behavior in concurrent-schedule, variable-interval, reinforcing learning situations. We show that our model can be used to describe and predict steady state behavior and learning patterns at the molar level.

Published in:

2008 Fourth International Conference on Natural Computation  (Volume:2 )

Date of Conference:

18-20 Oct. 2008