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Journal of the Experimental Analysis of Behavior logoLink to Journal of the Experimental Analysis of Behavior
. 1983 Nov;40(3):239–251. doi: 10.1901/jeab.1983.40-239

On the effects of food deprivation and component reinforcer rates on multiple-schedule performance

Lesle Charman, Michael Davison
PMCID: PMC1347935  PMID: 16812347

Abstract

Six pigeons were used to investigate the effects of varying body weight and component reinforcer rates in two-component multiple variable-interval variable-interval schedules. In Parts 1 and 3 of the experiment, unequal component reinforcer rates were arranged, and body weights were respectively increased and decreased. At 80% ad lib weight, response-rate ratios were closer to unity than reinforcer-rate ratios, but at 100% or more of ad lib weight, response-rate ratios generally equaled reinforcer-rate ratios. In Part 2, component reinforcer-rate ratios were varied over five conditions with the subjects maintained at 100% or more of their ad lib weights, and response-rate ratios matched reinforcer-rate ratios. The data thus support the empirical finding that response allocation in multiple schedules is a function of deprivation. Although this qualitative result is predicted by three models of multiple-schedule performance, only a model that assumes no direct component interaction adequately describes the data.

Keywords: multiple schedules, variable-interval schedules, sensitivity to reinforcement, food deprivation, pigeons

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Baum W. M. On two types of deviation from the matching law: bias and undermatching. J Exp Anal Behav. 1974 Jul;22(1):231–242. doi: 10.1901/jeab.1974.22-231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Charman L., Davison M. On the effects of component durations and component reinforcement rates in multiple schedules. J Exp Anal Behav. 1982 May;37(3):417–439. doi: 10.1901/jeab.1982.37-417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Davison M. C., Hunter I. W. Performance on variable-interval schedules arranged singly and concurrently. J Exp Anal Behav. 1976 May;25(3):335–345. doi: 10.1901/jeab.1976.25-335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Herrnstein R. J., Loveland D. H. Hunger and contrast in a multiple schedule. J Exp Anal Behav. 1974 May;21(3):511–517. doi: 10.1901/jeab.1974.21-511. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Herrnstein R. J. On the law of effect. J Exp Anal Behav. 1970 Mar;13(2):243–266. doi: 10.1901/jeab.1970.13-243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Hinson J. M., Staddon J. E. Behavioral competition: a mechanism for schedule interactions. Science. 1978 Oct 27;202(4366):432–434. doi: 10.1126/science.705334. [DOI] [PubMed] [Google Scholar]
  7. McLean A. P., White K. G. Temporal constraint on choice: Sensitivity and bias in multiple schedules. J Exp Anal Behav. 1983 May;39(3):405–426. doi: 10.1901/jeab.1983.39-405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Shimp C. P., Wheatley K. L. Matching to relative reinforcement frequency in multiple schedules with a short component duration. J Exp Anal Behav. 1971 Mar;15(2):205–210. doi: 10.1901/jeab.1971.15-205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Todorov J. C. Component duration and relative response rates in multiple schedules. J Exp Anal Behav. 1972 Jan;17(1):45–49. doi: 10.1901/jeab.1972.17-45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. WILKINSON G. N. Statistical estimations in enzyme kinetics. Biochem J. 1961 Aug;80:324–332. doi: 10.1042/bj0800324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Williams B. A. Another look at contrast in multiple schedules. J Exp Anal Behav. 1983 Mar;39(2):345–384. doi: 10.1901/jeab.1983.39-345. [DOI] [PMC free article] [PubMed] [Google Scholar]

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