Connecting the free energy principle with quantum cognition

Yukio Pegio Gunji*, Shuji Shinohara, Vasileios Basios

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

It appears that the free energy minimization principle conflicts with quantum cognition since the former adheres to a restricted view based on experience while the latter allows deviations from such a restricted view. While free energy minimization, which incorporates Bayesian inference, leads to a Boolean lattice of propositions (classical logic), quantum cognition, which seems to be very dissimilar to Bayesian inference, leads to an orthomodular lattice of propositions (quantum logic). Thus, we address this challenging issue to bridge and connect the free energy minimization principle with the theory of quantum cognition. In this work, we introduce “excess Bayesian inference” and show that this excess Bayesian inference entails an underlying orthomodular lattice, while classic Bayesian inference entails a Boolean lattice. Excess Bayesian inference is implemented by extending the key idea of Bayesian inference beyond classic Bayesian inference and its variations. It is constructed by enhancing the idea of active inference and/or embodied intelligence. The appropriate lattice structure of its logic is obtained from a binary relation transformed from a distribution of the joint probabilities of data and hypotheses by employing a rough-set lattice technique in accordance with quantum cognition logic.

Original languageEnglish
Article number910161
JournalFrontiers in Neurorobotics
Volume16
DOIs
Publication statusPublished - 2022 Sep 2

Keywords

  • Bayesian inference
  • free energy minimization
  • lattice theory
  • quantum cognition
  • rough set

ASJC Scopus subject areas

  • Biomedical Engineering
  • Artificial Intelligence

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