Skip to main content

Functional Learning

  • Reference work entry
Encyclopedia of the Sciences of Learning

Synonyms

Function learning; Probabilistic learning

Definition

Functional learning is the learning of continuous functional mappings relating stimulus and response continua. Through functional learning, an organism (human or animal) acquires a judgment rule for correctly assigning each stimulus value encountered in a certain domain to one and only one response value. Examples of such rules commonly expressed by people in daily life are “the better the product, the higher its price” and “the higher the temperature, the faster the cooking.”

Theoretical Background

Most laws in the environment (e.g., physics laws, biology laws) may be expressed in terms of functional relations between events. People’s ability to detect and learn these continuous relations, and not just the associations between pairs of events, has certainly strong adaptive value.

Associative learning typically takes place when a reduced set of stimuli is used. In many experimental studies, few associations are considered,...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 3,400.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 2,999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Brunswik, E. (1952). The conceptual framework of psychology. Chicago: University of Chicago Press.

    Google Scholar 

  • Cooksey, R. W. (1996). Judgment analysis: Theory, methods, and applications. San Diego: Academic.

    Google Scholar 

  • Liégeois, L., Chasseigne, G., Papin, S., & Mullet, E. (2003). Improving high school students’ understanding of potential difference in simple electric circuits. International Journal of Science Education, 25, 1129–1145.

    Google Scholar 

  • Smedslund, J. (1955). Multiple probability learning. Oslo: Akademisk Forlag.

    Google Scholar 

Further Reading

  • Holzworth, R. J. (2001). Multiple cue probability learning. In K. R. Hammond & T. R. Stewart (Eds.), The essential Brunswik: Beginnings, explications, applications (pp. 348–350). Oxford: Oxford University Press.

    Google Scholar 

  • Musielak, C., Chasseigne, G., & Mullet, E. (2006). The learning of non-linear functions among younger and older adults. Experimental Aging Research, 32, 317–340.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Etienne Mullet .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this entry

Cite this entry

Mullet, E. (2012). Functional Learning. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_323

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-1428-6_323

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-1427-9

  • Online ISBN: 978-1-4419-1428-6

  • eBook Packages: Humanities, Social Sciences and Law

Publish with us

Policies and ethics