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Abductive inference and delusional belief.

Max Coltheart¹, Peter Menzies, John Sutton

¹Centre for Cognitive Science, Macquarie University, Sydney, NSW 2019, Australia. max@maccs.mq.edu.au

Cognitive Neuropsychiatry

|December 18, 2009

Summary

Delusional beliefs arise from abnormal cognitive data, not just conscious experiences. A second cognitive impairment, affecting belief evaluation, is necessary alongside the initial data processing issue for delusions to form.

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Area of Science:

Cognitive Neuroscience
Psychiatry
Philosophy of Mind

Background:

Delusional beliefs are often viewed as logical conclusions from unusual experiences.
Previous models have not fully accounted for the cognitive underpinnings of delusion formation.

Purpose of the Study:

To investigate the cognitive processes underlying delusional belief formation.
To differentiate between abnormal data generation and belief evaluation impairments.
To propose a novel inferential model for delusions.

Main Methods:

Analysis of cognitive abnormalities associated with seven distinct delusions.
Identification of neuropsychological impairments contributing to abnormal data.
Application of Bayesian inference to model abductive reasoning in delusion.

Main Results:

Abnormal cognitive data, not always conscious, can initiate delusions.
A single cognitive impairment is insufficient; a second impairment in belief evaluation is crucial.
Abductive inference, modeled via Bayesian principles, best explains the transition from abnormal data to delusional belief.

Conclusions:

Delusional beliefs result from a two-stage cognitive process involving abnormal data and impaired belief evaluation.
Abductive inference provides a robust framework for understanding delusion formation.
This model offers new insights into the neurocognitive basis of psychiatric disorders.