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Theoretical Biology and Medical Modelling

, 2:29

First Online: 11 August 2005Received: 23 May 2005Accepted: 11 August 2005


Genetic algorithms instruct sophisticated biological organization. Three qualitative kinds of sequence complexity exist: random RSC, ordered OSC, and functional FSC. FSC alone provides algorithmic instruction. Random and Ordered Sequence Complexities lie at opposite ends of the same bi-directional sequence complexity vector. Randomness in sequence space is defined by a lack of Kolmogorov algorithmic compressibility. A sequence is compressible because it contains redundant order and patterns. Law-like cause-and-effect determinism produces highly compressible order. Such forced ordering precludes both information retention and freedom of selection so critical to algorithmic programming and control. Functional Sequence Complexity requires this added programming dimension of uncoerced selection at successive decision nodes in the string. Shannon information theory measures the relative degrees of RSC and OSC. Shannon information theory cannot measure FSC. FSC is invariably associated with all forms of complex biofunction, including biochemical pathways, cycles, positive and negative feedback regulation, and homeostatic metabolism. The algorithmic programming of FSC, not merely its aperiodicity, accounts for biological organization. No empirical evidence exists of either RSC of OSC ever having produced a single instance of sophisticated biological organization. Organization invariably manifests FSC rather than successive random events RSC or low-informational self-ordering phenomena OSC.

KeywordsSelf-organization self-assembly self-ordering self-replication genetic code origin genetic information self-catalysis. Abbreviations used in this paperRSCRandom Sequence Complexity

OSCOrdered Sequence Complexity

FSCFunctional Sequence Complexity

Electronic supplementary materialThe online version of this article doi:10.1186-1742-4682-2-29 contains supplementary material, which is available to authorized users.

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Autor: David L Abel - Jack T Trevors


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