The Potential of Quantum Probability for Modeling Cognitive Processes
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| Publication date | 2011 |
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| Book title | Expanding the Space of Cognitive Science: proceedings of the 33d Annual Meeting of the Cognitive Science Society |
| Book subtitle | Boston, Massachusetts, July 20-23, 2011 |
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| Event | 33rd annual meeting of the Cognitive Science Society |
| Pages (from-to) | 1336-1337 |
| Publisher | Austin, TX: Cognitive Science Society |
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| Abstract | Quantum probability (QP) theory is a theory for how to assign probabilities to observables. In the context of physics, it has been successfully employed by researchers for over 100 years and has been the basis for some of the most impressive discoveries of the human mind (e.g., the transistor, and so the microchip, and the laser). But the applicability of QP theory is not limited to physical phenomena and, indeed, there has been growing interest in exploring the potential of QP theory in areas as diverse as economics (Baaquie, 2004), information theory (e.g., Grover, 1997), and psychology. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://cogsci.mindmodeling.org/2011/papers/0311/index.html http://www.blutner.de/Pages%20from%20cogsci11_proceedings.pdf |
| Other links | https://cogsci.mindmodeling.org/2011/ |
| Downloads |
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