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The capabilities of chaos and complexity.

Abel DL - Int J Mol Sci (2009)

Bottom Line: In addition their cause-and-effect relationships and mechanisms of action must be delineated.But can spontaneous chaos and complexity steer events and processes toward pragmatic benefit, select function over non function, optimize algorithms, integrate circuits, produce computational halting, organize processes into formal systems, control and regulate existing systems toward greater efficiency?Can a low-informational rapid succession of Prigogine's dissipative structures self-order into bona fide organization?

View Article: PubMed Central - PubMed

Affiliation: The Gene Emergence Project, The Origin of Life Science Foundation, Inc., Greenbelt, MD 20770-1610, USA. life@us.net

ABSTRACT
To what degree could chaos and complexity have organized a Peptide or RNA World of crude yet necessarily integrated protometabolism? How far could such protolife evolve in the absence of a heritable linear digital symbol system that could mutate, instruct, regulate, optimize and maintain metabolic homeostasis? To address these questions, chaos, complexity, self-ordered states, and organization must all be carefully defined and distinguished. In addition their cause-and-effect relationships and mechanisms of action must be delineated. Are there any formal (non physical, abstract, conceptual, algorithmic) components to chaos, complexity, self-ordering and organization, or are they entirely physicodynamic (physical, mass/energy interaction alone)? Chaos and complexity can produce some fascinating self-ordered phenomena. But can spontaneous chaos and complexity steer events and processes toward pragmatic benefit, select function over non function, optimize algorithms, integrate circuits, produce computational halting, organize processes into formal systems, control and regulate existing systems toward greater efficiency? The question is pursued of whether there might be some yet-to-be discovered new law of biology that will elucidate the derivation of prescriptive information and control. "System" will be rigorously defined. Can a low-informational rapid succession of Prigogine's dissipative structures self-order into bona fide organization?

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a) The degree of three-dimensional computational complexity within a pile of pick-up sticks is staggering. But what exactly does this enormous degree of complexity DO? What sophisticated formal function does this pile of objects generate? Mere combinatorial complexity must never be confused with formal utility. b) A row of dip switch settings depicts a different category of complexity—algorithmic, cybernetic programming complexity. Choice contingency is incorporated into purposeful configurable switch-settings that collectively prescribe formal function.
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f2-ijms-10-00247: a) The degree of three-dimensional computational complexity within a pile of pick-up sticks is staggering. But what exactly does this enormous degree of complexity DO? What sophisticated formal function does this pile of objects generate? Mere combinatorial complexity must never be confused with formal utility. b) A row of dip switch settings depicts a different category of complexity—algorithmic, cybernetic programming complexity. Choice contingency is incorporated into purposeful configurable switch-settings that collectively prescribe formal function.

Mentions: In the pile of “Pick-up Sticks” seen in Figure 2, very little order and patterning are present. Uncertainty as to how the sticks will fall is high. The pile of sticks is highly complex. In this three-dimensional model, it would probably be intractable to compute the complexity of relationships of each of these sticks to all of the other sticks. The degree of complexity would be staggering. But what exactly does this enormous degree of complexity DO? The pile of pick-up sticks achieves no utility of any kind. The imagined capabilities of stand-alone complexity are in reality miniscule at best.


The capabilities of chaos and complexity.

Abel DL - Int J Mol Sci (2009)

a) The degree of three-dimensional computational complexity within a pile of pick-up sticks is staggering. But what exactly does this enormous degree of complexity DO? What sophisticated formal function does this pile of objects generate? Mere combinatorial complexity must never be confused with formal utility. b) A row of dip switch settings depicts a different category of complexity—algorithmic, cybernetic programming complexity. Choice contingency is incorporated into purposeful configurable switch-settings that collectively prescribe formal function.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2662469&req=5

f2-ijms-10-00247: a) The degree of three-dimensional computational complexity within a pile of pick-up sticks is staggering. But what exactly does this enormous degree of complexity DO? What sophisticated formal function does this pile of objects generate? Mere combinatorial complexity must never be confused with formal utility. b) A row of dip switch settings depicts a different category of complexity—algorithmic, cybernetic programming complexity. Choice contingency is incorporated into purposeful configurable switch-settings that collectively prescribe formal function.
Mentions: In the pile of “Pick-up Sticks” seen in Figure 2, very little order and patterning are present. Uncertainty as to how the sticks will fall is high. The pile of sticks is highly complex. In this three-dimensional model, it would probably be intractable to compute the complexity of relationships of each of these sticks to all of the other sticks. The degree of complexity would be staggering. But what exactly does this enormous degree of complexity DO? The pile of pick-up sticks achieves no utility of any kind. The imagined capabilities of stand-alone complexity are in reality miniscule at best.

Bottom Line: In addition their cause-and-effect relationships and mechanisms of action must be delineated.But can spontaneous chaos and complexity steer events and processes toward pragmatic benefit, select function over non function, optimize algorithms, integrate circuits, produce computational halting, organize processes into formal systems, control and regulate existing systems toward greater efficiency?Can a low-informational rapid succession of Prigogine's dissipative structures self-order into bona fide organization?

View Article: PubMed Central - PubMed

Affiliation: The Gene Emergence Project, The Origin of Life Science Foundation, Inc., Greenbelt, MD 20770-1610, USA. life@us.net

ABSTRACT
To what degree could chaos and complexity have organized a Peptide or RNA World of crude yet necessarily integrated protometabolism? How far could such protolife evolve in the absence of a heritable linear digital symbol system that could mutate, instruct, regulate, optimize and maintain metabolic homeostasis? To address these questions, chaos, complexity, self-ordered states, and organization must all be carefully defined and distinguished. In addition their cause-and-effect relationships and mechanisms of action must be delineated. Are there any formal (non physical, abstract, conceptual, algorithmic) components to chaos, complexity, self-ordering and organization, or are they entirely physicodynamic (physical, mass/energy interaction alone)? Chaos and complexity can produce some fascinating self-ordered phenomena. But can spontaneous chaos and complexity steer events and processes toward pragmatic benefit, select function over non function, optimize algorithms, integrate circuits, produce computational halting, organize processes into formal systems, control and regulate existing systems toward greater efficiency? The question is pursued of whether there might be some yet-to-be discovered new law of biology that will elucidate the derivation of prescriptive information and control. "System" will be rigorously defined. Can a low-informational rapid succession of Prigogine's dissipative structures self-order into bona fide organization?

Show MeSH
Related in: MedlinePlus