- New
-
Topics
- All Categories
- Metaphysics and Epistemology
- Value Theory
- Science, Logic, and Mathematics
- Science, Logic, and Mathematics
- Logic and Philosophy of Logic
- Philosophy of Biology
- Philosophy of Cognitive Science
- Philosophy of Computing and Information
- Philosophy of Mathematics
- Philosophy of Physical Science
- Philosophy of Social Science
- Philosophy of Probability
- General Philosophy of Science
- Philosophy of Science, Misc
- History of Western Philosophy
- Philosophical Traditions
- Philosophy, Misc
- Other Academic Areas
- Journals
- Submit material
- More
Quantum probability and cognitive modeling: Some cautions and a promising direction in modeling physics learning
Behavioral and Brain Sciences 36 (3):284-285 (2013)
Abstract
Quantum probability theory offers a viable alternative to classical probability, although there are some ambiguities inherent in transferring the quantum formalism to a less determined realm. A number of physicists are now looking at the applicability of quantum ideas to the assessment of physics learning, an area particularly suited to quantum probability ideas.Author's Profile
My notes
Similar books and articles
The Potential of Using Quantum Theory to Build Models of Cognition.Zheng Wang, Jerome R. Busemeyer, Harald Atmanspacher & Emmanuel M. Pothos - 2013 - Topics in Cognitive Science 5 (4):672-688.
Perspectives on Modeling in Cognitive Science.Richard M. Shiffrin - 2010 - Topics in Cognitive Science 2 (4):736-750.
Introduction to computational cognitive modeling.Ron Sun - 2008 - In The Cambridge Handbook of Computational Psychology. Cambridge University Press. pp. 3--19.
Uncertainty about the value of quantum probability for cognitive modeling.Christina Behme - 2013 - Behavioral and Brain Sciences 36 (3):279-280.
Concepts and Their Dynamics: A Quantum‐Theoretic Modeling of Human Thought.Diederik Aerts, Liane Gabora & Sandro Sozzo - 2013 - Topics in Cognitive Science 5 (4):737-772.
The direction of time.Hans Reichenbach - 1956 - Mineola, N.Y.: Dover Publications. Edited by Maria Reichenbach.
The implicit possibility of dualism in quantum probabilistic cognitive modeling.Donald Mender - 2013 - Behavioral and Brain Sciences 36 (3):298-299.
Dynamic mechanistic explanation: computational modeling of circadian rhythms as an exemplar for cognitive science.William Bechtel & Adele Abrahamsen - 2010 - Studies in History and Philosophy of Science Part A 41 (3):321-333.
Raising the bar for connectionist modeling of cognitive developmental disorders.Morten H. Christiansen, Christopher M. Conway & Michelle R. Ellefson - 2002 - Behavioral and Brain Sciences 25 (6):752-753.
Cold and hot cognition: Quantum probability theory and realistic psychological modeling.Philip J. Corr - 2013 - Behavioral and Brain Sciences 36 (3):282 - 283.
Ontological aspects of information modeling.Robert L. Ashenhurst - 1996 - Minds and Machines 6 (3):287-394.
Entering Modeling Space. An Apprenticeship in Molecular Modeling.Carl Trindle - 1999 - Hyle 5 (2):145 - 160.
How Modeling Can Go Wrong: Some Cautions and Caveats on the Use of Models.Patrick Grim & Nicholas Rescher - 2013 - Philosophy and Technology 26 (1):75-80.
Analytics
Added to PP
2013-10-27
Downloads
31 (#501,295)
6 months
8 (#352,434)
2013-10-27
Downloads
31 (#501,295)
6 months
8 (#352,434)
Historical graph of downloads
Author's Profile
References found in this work
The Emperor’s New Mind: Concerning Computers, Minds, andthe Laws of Physics.Roger Penrose - 1989 - Science and Society 54 (4):484-487.
PhilPapers logo by Andrea Andrews and Meghan Driscoll.
This site uses cookies and Google Analytics (see our terms & conditions for details regarding the privacy implications). Use of this site is subject to terms & conditions.
All rights reserved by The PhilPapers Foundation
Server: philpapers-web-7c76586df8-5tf24 uwo