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Linear deterministic accumulator models of simple choice.

Andrew Heathcote1, Jonathon Love

  • 1School of Psychology, The University of Newcastle Callaghan, NSW, Australia.

Frontiers in Psychology
|September 1, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces the Lognormal race (LNR) model for simple choice behavior, finding it accurately describes lexical decision task data. Both LNR and the LBA model support similar psychological conclusions regarding evidence accumulation.

Keywords:
evidence accumulationlexical-decision tasklinear ballistic accumulatormathematical modelingresponse time

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Area of Science:

  • Cognitive psychology
  • Computational neuroscience
  • Decision science

Background:

  • Simple choice behavior is often modeled as a race between evidence accumulation processes.
  • Deterministic race models simplify these processes by focusing on between-choice noise over within-choice noise.
  • Linear deterministic models offer computational tractability for analyzing choice behavior.

Purpose of the Study:

  • To introduce and evaluate a new linear deterministic race model, the Lognormal race (LNR).
  • To compare the LNR model's performance against the established Linear Ballistic Accumulator (LBA) model.
  • To assess how these models account for benchmark effects in simple choice tasks.

Main Methods:

  • Development of the Lognormal race (LNR) model, a mathematically simple linear deterministic race model.
  • Application and comparison of the LNR and LBA models to lexical decision task data.
  • Analysis of response times and choice probabilities to evaluate model fit.

Main Results:

  • The LNR model provides an accurate description of the lexical decision task data.
  • The LBA model offered a slightly superior fit to the data compared to the LNR model.
  • Both models yielded comparable psychological interpretations of the observed choice behavior.

Conclusions:

  • Linear deterministic race models, including the newly developed LNR, are effective tools for understanding simple choice.
  • The LNR model represents a viable alternative for analyzing evidence accumulation in decision-making.
  • The findings support the general framework of evidence accumulation theories in explaining cognitive processes underlying choice.