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Is evolution by natural selection the algorithm of biological evolution?

Is evolution by natural selection the algorithm of biological evolution?
Is evolution by natural selection the algorithm of biological evolution?
It is tempting to be confident that we know how biological evolution works. After all, we know a mechanism capable of producing adaptation, and we understand the necessary and sufficient conditions for this to occur, and those conditions are met in natural populations – the rest is surely just details. However, there can be many different algorithms that utilise a given underlying mechanism (sub-algorithm), and in other contexts we cannot assert that we know what algorithm is operating just because we identify a sub-algorithm it contains. Using sorting algorithms based on the mechanism of ‘compare and swap’ (as an analogue of evolutionary algorithms based on natural selection) we discuss three substantial ways in which an algorithm can be based on, and depend on, a mechanism and yet not be that mechanism, each of which has some bearing on natural processes of evolution: 1) unstructured versus structured applications of a mechanism, 2) data-independent versus data-dependent, 3) iterative versus recursive. In the context of computational algorithms more generally, it is easy to see that each of these issues corresponds to different algorithmic classes. We suggest that in natural evolution, it is not obvious that none of these issues apply, nor that the empirical evidence supports the view that an unstructured, data-independent and iterative interpretation of natural selection is sufficient to create biological evolution.
0-262-31050-3
121-128
MIT Press
Watson, Richard
ce199dfc-d5d4-4edf-bd7b-f9e224c96c75
Adami, Christoph
Bryson, David M.
Ofria, Charles
Pennock, Robert T.
Watson, Richard
ce199dfc-d5d4-4edf-bd7b-f9e224c96c75
Adami, Christoph
Bryson, David M.
Ofria, Charles
Pennock, Robert T.

Watson, Richard, (2012) Is evolution by natural selection the algorithm of biological evolution? Adami, Christoph, Bryson, David M., Ofria, Charles and Pennock, Robert T. (eds.) In Artificial Life XIII: Proceedings of the Thirteenth International Conference on the Synthesis and Simulation of Living Systems. MIT Press., pp. 121-128.

Record type: Conference or Workshop Item (Paper)

Abstract

It is tempting to be confident that we know how biological evolution works. After all, we know a mechanism capable of producing adaptation, and we understand the necessary and sufficient conditions for this to occur, and those conditions are met in natural populations – the rest is surely just details. However, there can be many different algorithms that utilise a given underlying mechanism (sub-algorithm), and in other contexts we cannot assert that we know what algorithm is operating just because we identify a sub-algorithm it contains. Using sorting algorithms based on the mechanism of ‘compare and swap’ (as an analogue of evolutionary algorithms based on natural selection) we discuss three substantial ways in which an algorithm can be based on, and depend on, a mechanism and yet not be that mechanism, each of which has some bearing on natural processes of evolution: 1) unstructured versus structured applications of a mechanism, 2) data-independent versus data-dependent, 3) iterative versus recursive. In the context of computational algorithms more generally, it is easy to see that each of these issues corresponds to different algorithmic classes. We suggest that in natural evolution, it is not obvious that none of these issues apply, nor that the empirical evidence supports the view that an unstructured, data-independent and iterative interpretation of natural selection is sufficient to create biological evolution.

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More information

Published date: 2012
Venue - Dates: Artificial Life XIII: 13th International Conference on the Simulation and Synthesis of Living Systems, United States, 2012-08-19 - 2012-08-22
Organisations: Agents, Interactions & Complexity, EEE

Identifiers

Local EPrints ID: 342172
URI: http://eprints.soton.ac.uk/id/eprint/342172
ISBN: 0-262-31050-3
PURE UUID: b9ce2362-73d8-4279-b52e-125803b505e5

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Date deposited: 14 Aug 2012 14:23
Last modified: 25 Oct 2017 03:16

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Contributors

Author: Richard Watson
Editor: Christoph Adami
Editor: David M. Bryson
Editor: Charles Ofria
Editor: Robert T. Pennock

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