A Case Study in Computational Psychiatry: Addiction as Failure Modes of the Decision-Making System. Addiction as Failure Modes of the Decision-Making System.

Cody J. Walters, A. D. Redish

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

We review a new perspective on addiction as due to failure modes of decision-making networks. In a sense, this suggests that addiction is a symptom that can arise from any of a number of potential underlying vulnerabilities. We identify four primary action-selection systems and review how multiple deficits (or "failure modes") of these systems can lead to continued harmful dysfunction typically identified as addiction. These methods have shaped a new generation of tools for studying the etiology of neuropsychiatric dysfunction. These tools are aimed at identifying specific failure modes so that treatments can be individualized for specific patients. Moving beyond dysfunction, we also review how a computational understanding of treatment paradigms can reveal their interaction with these multiple decision systems, which can suggest ways to identify the patients most likely to be helped by treatments and ways to improve the treatments themselves.

Original languageEnglish (US)
Title of host publicationComputational Psychiatry
Subtitle of host publicationMathematical Modeling of Mental Illness
PublisherElsevier Inc.
Pages199-217
Number of pages19
ISBN (Electronic)9780128098264
ISBN (Print)9780128098257
DOIs
StatePublished - 2018

Keywords

  • Addiction
  • Computational psychiatry
  • Decision-making
  • Gambling
  • Neuroeconomics
  • Substance abuse
  • Treatments for addiction

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