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What are association formation models?

Anthony Dickinson1

  • 1University of Cambridge, Cambridge, England. ad15@cam.ac.uk

Learning & Behavior
|January 6, 2009
PubMed
Summary
This summary is machine-generated.

The propositional account and association formation models (AFMs) of associative learning differ not in representation type but in the learning processes that create these representations. Both are crucial for understanding human learning.

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Area of Science:

  • Cognitive Psychology
  • Learning Sciences

Background:

  • De Houwer's (2009) propositional account of associative learning posits specific assumptions about association formation models (AFMs).
  • AFMs traditionally assume excitatory link representations and automatic learning processes.

Discussion:

  • Application of AFMs to human causal and contingency learning has primarily used propositional representations.
  • Excitatory link representations are necessary to account for non-rational outcomes in associative learning.
  • Some AFMs applied to human associative learning involve non-automatic processing.

Key Insights:

  • The core distinction between propositional accounts and AFMs is not the form of representations (propositional vs. excitatory links).
  • The critical difference lies in the specific learning mechanisms that generate associative representations.

Outlook:

  • Further research should explore the interplay between representation types and learning processes.
  • Clarifying these distinctions can refine models of human associative, causal, and contingency learning.