| Links between quantum physics and thought. | |
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MedLine Citation:
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PMID: 19745485 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Quantum mechanics (QM) provides a variety of ideas that can assist in developing Artificial Intelligence for healthcare, and opens the possibility of developing a unified system of Best Practice for inference that will embrace both QM and classical inference. Of particular interest is inference in the hyperbolic-complex plane, the counterpart of the normal i-complex plane of basic QM. There are two reasons. First, QM appears to rotate from i-complex Hilbert space to hyperbolic-complex descriptions when observations are made on wave functions as particles, yielding classical results, and classical laws of probability manipulation (e.g. the law of composition of probabilities) then hold, whereas in the i-complex plane they do not. Second, i-complex Hilbert space is not the whole story in physics. Hyperbolic complex planes arise in extension from the Dirac-Clifford calculus to particle physics, in relativistic correction thereby, and in regard to spinors and twisters. Generalization of these forms resemble grammatical constructions and promote the idea that probability-weighted algebraic elements can be used to hold dimensions of syntactic and semantic meaning. It is also starting to look as though when a solution is reached by an inference system in the hyperbolic-complex, the hyperbolic-imaginary values disappear, while conversely hyperbolic-imaginary values are associated with the un-queried state of a system and goal seeking behavior. |
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Authors:
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Barry Robson |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Studies in health technology and informatics Volume: 149 ISSN: 0926-9630 ISO Abbreviation: Stud Health Technol Inform Publication Date: 2009 |
Date Detail:
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Created Date: 2009-09-11 Completed Date: 2010-01-21 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9214582 Medline TA: Stud Health Technol Inform Country: Netherlands |
Other Details:
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Languages: eng Pagination: 236-48 Citation Subset: T |
Affiliation:
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Group for Advanced Methods in Epidemiology and Statistics, St. Matthew's University School of Medicine, Grand Cayman, UK. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artificial Intelligence Delivery of Health Care Quantum Theory* Thinking* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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