On the non-uniqueness problem in integrated information theory

Jake R. Hanson, Sara I. Walker

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Integrated Information Theory (IIT) 3.0 is among the leading theories of consciousness in contemporary neuroscience. The core of the theory relies on the calculation of a scalar mathematical measure of consciousness, φ, which is inspired by the phenomenological axioms of the theory. Here, we show that despite its widespread application, φ is not a well-defined mathematical concept in the sense that the value it specifies is non-unique. To demonstrate this, we introduce an algorithm that calculates all possible φ values for a given system in strict accordance with the mathematical definition from the theory. We show that, to date, all published φ values under consideration are selected arbitrarily from a multitude of equally valid alternatives. Crucially, both and are often predicted simultaneously, rendering any interpretation of these systems as conscious or not, non-decidable in the current formulation of IIT.

Original languageEnglish (US)
Article numberniad014
JournalNeuroscience of Consciousness
Volume2023
Issue number1
DOIs
StatePublished - 2023

Keywords

  • computational neuroscience
  • consciousness
  • integrated information theory (IIT)
  • mathematical theories of consciousness
  • non-uniqueness

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Clinical Psychology
  • Neurology
  • Clinical Neurology
  • Psychiatry and Mental health

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