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Behavioral Ecology and Sociobiology

, Volume 15, Issue 1, pp 61–64 | Cite as

Imperfectly optimal animals

A correction
  • Alasdair I. Houston
  • John M. McNamara
Article

Summary

Janetos and Cole (1981) make several errors in their analysis. We point out these errors and supply the correct analysis. In doing so we illustrate techniques and ideas which can be usefully applied to many problems in this area.

Keywords

Correct Analysis Optimal Animal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Charnov EL (1976) Optimal foraging: the marginal value theorem. Theor Popul Biol 9:129–136Google Scholar
  2. Houston AI (1980) Godzilla v. the creature from the black lagoon. In: Toates FM, Halliday TR (eds) The analysis of motivational processes. Academic Press, London, pp 297–318Google Scholar
  3. Houston AI, Kacelnik A, McNamara JM (1982) Some learning rules for acquiring information. In: McFarland DJ (ed) Functional ontogeny. Pitmans, London, pp 140–191Google Scholar
  4. Houston AI, McNamara JM (1981) How to maximize reward rate on two variable-interval paradigms. J Exp Anal Behav 35:367–396Google Scholar
  5. Janetos AC, Cole BJ (1981) Imperfectly optimal animals. Behav Ecol Sociobiol 9:203–209Google Scholar
  6. Johns M, Miller RG (1963) Average renewal loss rate. Ann Math Stat 34:396–401Google Scholar
  7. McNamara JM, Houston AI (1980) The application of statistical decision theory to animal behaviour. J Theor Biol 85:673–690Google Scholar
  8. Staddon JER, Hinson JM, Kram R (1981) Optimal choice. J Exp Anal Behav 35:397–412Google Scholar

Copyright information

© Springer-Verlag 1984

Authors and Affiliations

  • Alasdair I. Houston
    • 1
  • John M. McNamara
    • 2
  1. 1.Department of ZoologyUniversity of CambridgeCambridgeEngland
  2. 2.School of MathematicsUniversity of BristolBristolEngland

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