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Cancer, Complexity, ComputationWhat Cancer Is

Cancer, Complexity, Computation: What Cancer Is [The problem of cancer is examined from the metaphysical standpoint of essence and ground. An essentialist definition of cancer is assumed that would be valid in all possible worlds in which cancer could logically exist. The grounds of cancer are then examined and elucidated. Two grounding cancer properties are identified and discussed: symmetry-breaking and computational intelligence. Each examination leads to concrete conclusions for novel therapeutic approaches and a more fundamental understanding of what cancer is at bottom. Other possible cancer grounding properties related to evolution, adaptability and stochastic features are identified for future work. This approach is novel and offers new solutions to the problem of cancer.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Cancer, Complexity, ComputationWhat Cancer Is

Part of the Emergence, Complexity and Computation Book Series (volume 46)
Editors: Balaz, Igor; Adamatzky, Andrew
Frost, J. James
Cancer, Complexity, Computation — Aug 12, 2022
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17 pages

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-031-04378-9
Pages
1 –18
DOI
10.1007/978-3-031-04379-6_1
Publisher site
See Chapter on Publisher Site

Abstract

[The problem of cancer is examined from the metaphysical standpoint of essence and ground. An essentialist definition of cancer is assumed that would be valid in all possible worlds in which cancer could logically exist. The grounds of cancer are then examined and elucidated. Two grounding cancer properties are identified and discussed: symmetry-breaking and computational intelligence. Each examination leads to concrete conclusions for novel therapeutic approaches and a more fundamental understanding of what cancer is at bottom. Other possible cancer grounding properties related to evolution, adaptability and stochastic features are identified for future work. This approach is novel and offers new solutions to the problem of cancer.]

Published: Aug 12, 2022

Keywords: Cancer; Intelligence; Symmetry-breaking; Computation; Ground

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