No CrossRef data available.
Article contents
Grounding quantum probability in psychological mechanism
Published online by Cambridge University Press: 14 May 2013
Abstract
Pothos & Busemeyer (P&B) provide a compelling case that quantum probability (QP) theory is a better match to human judgment than is classical probability (CP) theory. However, any theory (QP, CP, or other) phrased solely at the computational level runs the risk of being underconstrained. One suggestion is to ground QP accounts in mechanism, to leverage a wide range of process-level data.
- Type
- Open Peer Commentary
- Information
- Copyright
- Copyright © Cambridge University Press 2013
References
Jones, M. & Love, B. C. (2011) Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition. Behavioral and Brain Sciences
34:169–231.CrossRefGoogle ScholarPubMed
Target article
Can quantum probability provide a new direction for cognitive modeling?
Related commentaries (34)
A quantum of truth? Querying the alternative benchmark for human cognition
At home in the quantum world
Beyond quantum probability: Another formalism shared by quantum physics and psychology
Can quantum probability help analyze the behavior of functional brain networks?
Cognition in Hilbert space
Cognitive architectures combine formal and heuristic approaches
Cold and hot cognition: Quantum probability theory and realistic psychological modeling
Disentangling the order effect from the context effect: Analogies, homologies, and quantum probability
Does quantum uncertainty have a place in everyday applied statistics?
Grounding quantum probability in psychological mechanism
If quantum probability = classical probability + bounded cognition; is this good, bad, or unnecessary?
Is quantum probability rational?
Limitations of the Dirac formalism as a descriptive framework for cognition
On the quantum principles of cognitive learning
Physics envy: Trying to fit a square peg into a round hole
Processes models, environmental analyses, and cognitive architectures: Quo vadis quantum probability theory?
Quantum mathematical cognition requires quantum brain biology: The “Orch OR” theory
Quantum modeling of common sense
Quantum models of cognition as Orwellian newspeak
Quantum probability and cognitive modeling: Some cautions and a promising direction in modeling physics learning
Quantum probability and comparative cognition
Quantum probability and conceptual combination in conjunctions
Quantum probability, choice in large worlds, and the statistical structure of reality
Quantum probability, intuition, and human rationality
Quantum structure and human thought
Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic architectures
Signal detection theory in Hilbert space
The (virtual) conceptual necessity of quantum probabilities in cognitive psychology
The cognitive economy: The probabilistic turn in psychology and human cognition
The implicit possibility of dualism in quantum probabilistic cognitive modeling
Uncertainty about the value of quantum probability for cognitive modeling
What are the mechanics of quantum cognition?
What's the predicted outcome? Explanatory and predictive properties of the quantum probability framework
Why quantum probability does not explain the conjunction fallacy
Author response
Quantum principles in psychology: The debate, the evidence, and the future