A neural network-based approach to modeling the allocation of behaviors in concurrent schedule, variable interval learning

Erica J. Newland, Songhua Xu, Willard L. Miranker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper we present a neural network-based model of the acquisition of choice behaviors. We employ a multi-layer perceptron, trained using back-propagation 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 steadystate behavior and learning patterns at the molar level.

Original languageEnglish (US)
Title of host publicationProceedings - 4th International Conference on Natural Computation, ICNC 2008
Pages245-249
Number of pages5
DOIs
StatePublished - Dec 19 2008
Event4th International Conference on Natural Computation, ICNC 2008 - Jinan, China
Duration: Oct 18 2008Oct 20 2008

Publication series

NameProceedings - 4th International Conference on Natural Computation, ICNC 2008
Volume2

Other

Other4th International Conference on Natural Computation, ICNC 2008
CountryChina
CityJinan
Period10/18/0810/20/08

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computational Mechanics

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