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An Ansatz for a Theory of Living Systems

Chu, Dominique and Barnes, David J. (2015) An Ansatz for a Theory of Living Systems. In: 2015 IEEE Symposium Series on Computational Intelligence. IEEE, pp. 1087-1093. ISBN 978-1-4799-7560-0. (doi:10.1109/SSCI.2015.156) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

Mathematical and computational modelling is now firmly established as an important tool in life sciences. However, it is not yet established as a source of biological knowledge on an equal footing with experimentation. Here we argue that there are now substantial opportunities for a new theoretical biology that not only benefits from experimental research but also influences this research. We argue that such a new theoretical biology would need to find the appropriate level of abstraction and combine aspects of Artificial Life and theoretical biophysics. We also provide an outline of a research agenda that could lead to experimentally testable insights into biological systems.

Item Type: Book section
DOI/Identification number: 10.1109/SSCI.2015.156
Uncontrolled keywords: artificial life; biological systems; living systems theory; theoretical biology; theoretical biophysics
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Dominique Chu
Date Deposited: 07 Mar 2016 10:57 UTC
Last Modified: 25 Sep 2019 11:47 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/54445 (The current URI for this page, for reference purposes)
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