The propositional nature of human associative learning.

Chris J. Mitchell*, Houwer J De, Peter F. Lovibond

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The past 50 years have seen an accumulation of evidence suggesting that associative learning depends on high-level cognitive processes that give rise to propositional knowledge. Yet, many learning theorists maintain a belief in a learning mechanism in which links between mental representations are formed automatically. We characterize and highlight the differences between the propositional and link approaches, and review the relevant empirical evidence. We conclude that learning is the consequence of propositional reasoning processes that cooperate with the unconscious processes involved in memory retrieval and perception. We argue that this new conceptual framework allows many of the important recent advances in associative learning research to be retained, but recast in a model that provides a firmer foundation for both immediate application and future research.
Original languageEnglish
Pages (from-to)183-198
Number of pages0
JournalBehav Brain Sci
Volume32
Issue number2
DOIs
Publication statusPublished - 23 Apr 2009

Keywords

  • Animals
  • Association Learning
  • Awareness
  • Cognition
  • Conditioning
  • Classical
  • Humans
  • Memory
  • Models
  • Psychological
  • Neural Pathways

Fingerprint

Dive into the research topics of 'The propositional nature of human associative learning.'. Together they form a unique fingerprint.

Cite this