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  1. QP theory is potentially applicable to any area where there is a need to compute probabilities. The motivation to adopt QP theory is typically informed by whether the empirical situation of interest reflects some key properties of QP theory, such as incompatibility, interference, superpo-sition, and entanglement.

    • Jennifer S. Trueblood, Emmanuel M. Pothos, Jerome R. Busemeyer
    • 2014
  2. Generally, probability assignment in QP theory essentially involves a process of overlap between the cognitive state (modeled by the state vector) and different possibilities (modeled by subspaces). Thus, probability assignment in QP theory is a plausible candidate for a similarity process as well.

  3. Mar 3, 2014 · Quantum Probability (QP) theory refers to the rules for assigning probabilities to events from quantum mechanics, without the physics. QP theory is a geometric approach to probability where different possibilities (or events or questions) are represented as subspaces, of varying dimensionality, in a multidimensional Hilbert space.

  4. Apr 11, 2014 · Therefore, this paper proposes a new quantum cognition-based group decision-making model considering the interference effects between experts during the CRP by integrating quantum probability...

  5. For this reason we have seen the recent emergence of models based on an alternative probabilistic framework drawn from quantum theory. These quantum models show promise in addressing cognitive phenomena that have proven recalcitrant to modeling by means of classical probability theory.

    • Jennifer Trueblood
  6. Article. Author (s): Trueblood, Jennifer S; Pothos, Emmanuel M; Busemeyer, Jerome R.

  7. Apr 11, 2014 · The research traditions of memory, reasoning, and categorization have largely developed separately. This is especially true for reasoning and categorization, where the former has focused on logic and probability rules and the latter on similarity processes.