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Science, Strategy and War The Strategic Theory of ... - Boekje Pienter

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exist only because they are open. <strong>The</strong>y feed on the flux <strong>of</strong> matter <strong>and</strong> energy coming to themfrom the outside world. We can isolate a crystal, but cities <strong>and</strong> cells die when cut <strong>of</strong>f fromtheir environment. <strong>The</strong>y form an integral part <strong>of</strong> the world from which they can drawsustenance, <strong>and</strong> they cannot be separated from the fluxes that they incessantly transform.<strong>The</strong> non-linearity <strong>of</strong> natureIt was obvious that this was not a linear process but highly non-linear. Far-fromequilibrium,the system’s flow processes are interlinked through multiple feedback loops <strong>and</strong>the corresponding mathematical equations are non-linear. <strong>The</strong> farther a dissipative structureis from equilibrium, the greater its complexity <strong>and</strong> the higher is the degree <strong>of</strong> non-linearity inthe mathematical equations describing it 12 .Out <strong>of</strong> these development, chaos theory emerged in the eighties as a popularconcept which focuses on thoroughly unstable regions <strong>and</strong> on non-linearity <strong>of</strong> systemsbehavior. It reflects the recognition that non-linear phenomena dominate much more <strong>of</strong> theinanimate world than we had thought, <strong>and</strong> that they are an essential aspect <strong>of</strong> the networkpatterns <strong>of</strong> living systems. It absorbs many <strong>of</strong> the former systems theoretical insights into atheory <strong>of</strong> cause <strong>and</strong> effect, albeit a radically different one from Newtonian cause <strong>and</strong> effectrelationships. In the Newtonian paradigm the discovery <strong>of</strong> non-linear relationships would beimmediately ‘linearized’, in other words, replaced by linear approximations. <strong>The</strong> equations <strong>of</strong>classical science deal with small oscillations, shallow waves, small changes in temperature etc.In the world <strong>of</strong> linear equations we thought we knew that systems described by simpleequations behaved in simple ways, while those described by complicated equations behavedin complicated ways. In the non-linear world, simple deterministic equations may produce anunsuspected richness <strong>and</strong> variety <strong>of</strong> behavior. On the other h<strong>and</strong>, complex <strong>and</strong> seeminglychaotic behavior can give rise to ordered structures, to subtle <strong>and</strong> beautiful patterns.Chaos theory describes the specific range <strong>of</strong> irregular behaviors in a system thatmoves or change 13 . <strong>The</strong> thrust <strong>of</strong> chaos theory is that small inputs in a closed system mayproduce large, unpredictable consequences, <strong>and</strong> that these systems may jump from orderedstates to chaotic states based on those small inputs. This feature is the consequence <strong>of</strong> thefrequent occurrence <strong>of</strong> self-reinforcing feedback processes. In that chaos operates in a closedsystem, it does not, as is commonly thought, describe a non-deterministic phenomenon. Infact, the whole point to chaos theory is that the fate <strong>of</strong> the system is determined by smallfactors which become magnified over time. It is the fact that these factors are too many, <strong>and</strong>too small to know, that cause the system to be unpredictable. <strong>The</strong> behavior <strong>of</strong> chaoticsystems is not merely r<strong>and</strong>om but shows a deeper level <strong>of</strong> patterned order. Advances incomputer technology as well as new mathematical techniques appearing in the 1970s <strong>and</strong>1980s enabled scientists to make these underlying patterns visible in distinct shape.<strong>The</strong> philosophical thrust <strong>of</strong> chaos theory is that uncertainty can be caused by smallchanges which, even if these changes are anticipated, results in an unpredictable system. Thisdoes not mean that the behavior <strong>of</strong> the system is totally unpredictable. Long term trends canbe distilled with a certain level <strong>of</strong> probability, the range <strong>of</strong> change can to some extend beestimated. However, the Sensitivity to Initial Conditions (SIC) <strong>of</strong> many systems does force oneto shift from a quantitive towards a qualitative analysis 14 . Long term predictions however are12 Horgan, p.182.13 Glenn E. James, Chaos <strong>The</strong>ory: <strong>The</strong> Essentials for Military Applications (Naval <strong>War</strong> College Press,Newport R.I., 1995), p.3.14 Capra (1996), p.123.126

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