coherence

Using machine learning to evaluate and enhance models of probabilistic inference

Generic neural networks can enhance content models.

Awareness of option attractiveness increases the attraction search effect: Modeling the awareness effect in an extended iCodes model

People search information of the more attractive option even more when they are made aware of the attractiveness of options.

Salience effects in information acquisition: No evidence for a top-down coherence influence

Salience effects on information search do not work indirectly.

A new and unique prediction for cue-search in a parallel-constraint satisfaction network model: The attraction search effect

People tend to search information of the more attractive option.

Probabilistic coherence measures: A psychological study of coherence assessment

People follow Bayesian principles in subjective coherence assessment.

Parallel-Constraint Satisfaction Network Model of Decision Making

Simulation of the PCS-Network Model of Decision Making; app at `http://apps.marc-jekel.de/PCSnew`.

Parallel-Constraint Satisfaction Network Model of Risky Choice

Simulation of the PCS-Network Model of Risky Choice; app at `http://apps.marc-jekel.de/PCSRiskyChoiceGui`.

Sequential-iCodes

Model simulation; app at `https://coherence.shinyapps.io/Antrag_integration`.

What is adaptive about adaptive decision making? A parallel constraint satisfaction theory for decision making

Single-mechanism accounts predict process and choice data in probabilistic decision making better than multi-mechanism accounts.

Approximating rationality under incomplete information: Adaptive inferences for missing cue values based on cue-discrimination

People use base rates and discrimination rates of cues to infer cue-values.