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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Published on: September 8, 2023

Can quantum probability provide a new direction for cognitive modeling?

Emmanuel M Pothos1, Jerome R Busemeyer

  • 1Department of Psychology, City University London, London EC1V 0HB, United Kingdom. emmanuel.pothos.1@city.ac.uk

The Behavioral and Brain Sciences
|May 16, 2013
PubMed
Summary

Quantum probability (QP) theory offers a novel framework for cognitive modeling, explaining findings difficult for classical probability (CP) theory. This approach enhances understanding of human rationality and decision-making processes.

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Last Updated: May 11, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

  • Cognitive Science
  • Quantum Physics
  • Decision Theory

Background:

  • Classical probability (Bayesian) theory is the dominant framework for cognitive modeling.
  • Empirical findings in cognitive science, particularly from Tversky and Kahneman, challenge classical probability principles.
  • Quantum probability theory, dominant in physics, presents an alternative probabilistic approach.

Purpose of the Study:

  • To explore the potential advantages of quantum probability (QP) theory in cognitive modeling.
  • To demonstrate how QP principles can naturally explain empirical findings that are problematic for classical probability (CP) theory.
  • To investigate the implications of a QP approach for understanding human rationality.

Main Methods:

  • Introduction to quantum probability (QP) theory.
  • Illustration of QP theory applications with psychological examples.
  • Review of empirical findings motivating QP in cognitive theory and discussion of QP-CP convergence.

Main Results:

  • Quantum probability theory's context- and order-dependent assessments offer explanations for cognitive phenomena.
  • Concepts like superposition states and entanglement provide novel ways to model cognitive states.
  • QP theory appears to offer a more accurate and powerful account of certain cognitive processes compared to CP theory.

Conclusions:

  • Quantum probability theory presents a promising alternative framework for cognitive modeling.
  • QP theory can provide more natural explanations for complex cognitive behaviors and decision-making.
  • Adopting a QP approach has significant implications for the understanding of human rationality.