The interpretation of behavior-model correlations in unidentified cognitive models
Bibliographic Data
| ID | 21640944 |
|---|---|
| Authors | Leendert van Maanen (0000-0001-9120-1075, University of Applied Sciences Utrecht, corresponding author), Steven Miletić (0000-0001-7399-2926, Amsterdam University of the Arts) |
| Year | 2021 |
| Volume | 28 |
| Issue | 2 |
| Pages | 374-383 |
| Publication date | 2021-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychonomic Bulletin & Review (JOURNAL) |
| Journal identifiers | ISSN: 1069-9384 • E-ISSN: 1531-5320 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.3758/s13423-020-01783-y |
| PMID | 32767046 |
| OpenAlex | W3048152762 |
| Language | EN |
| Citations received | 3 |
| References cited | 41 |
The rise of computational modeling in the past decade has led to a substantial increase in the number of papers that report parameter estimates of computational cognitive models. A common application of computational cognitive models is to quantify individual differences in behavior by estimating how these are expressed in differences in parameters. For these inferences to hold, models need to be identified, meaning that one set of parameters is most likely, given the behavior under consideration. For many models, model identification can be achieved up to a scaling constraint, which means that under the assumption that one parameter has a specific value, all remaining parameters are identified. In the current note, we argue that this scaling constraint implies a strong assumption about the cognitive process that the model is intended to explain, and warn against an overinterpretation of the associative relations found in this way. We will illustrate these points using signal detection theory, reinforcement learning models, and the linear ballistic accumulator model, and provide suggestions for a clearer interpretation of modeling results
Algorithm · Cognition · Cognitive model · Cognitive psychology · Computational model · Econometrics · Scaling · Cognitive Science and Mapping · Computer Science · Mathematics · Neural and Behavioral Psychology Studies · Neural dynamics and brain function · Psychology · Artificial Intelligence
Bayesian Cognitive Modeling
Learning the value of information in an uncertain world
Reinforcement Learning
Cortical substrates for exploratory decisions in humans
The Diffusion Decision Model
A theory of memory retrieval.
A Simplex Method for Function Minimization
The simplest complete model of choice response time
Detection Theory
Assessing inter-individual differences with task-related functional neuroimaging
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |