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

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<strong>The</strong> final region is the boundary between the stable <strong>and</strong> chaotic zones. Known as thecomplex region or the “edge <strong>of</strong> chaos”, it is a phase transition zone between the stable<strong>and</strong> chaotic regions.Systems poised in this boundary zone are optimized to evolve, adapt, <strong>and</strong> processinformation about their environments. As complex systems evolve, they appear to movetoward this boundary between stability <strong>and</strong> chaos, <strong>and</strong> become increasingly more complex.Deep in the ordered regime perturbations cannot propagate through the system. Deep in thechaotic regime the system would be too sensitive to small perturbations to maintain itsorganization 53 . Thus complex behavior is on the border between predictability <strong>and</strong> nonpredictability.Complex systems are somewhat more stable <strong>and</strong> less active than are thedynamics <strong>of</strong> chaotic markets or seasonal fluctuations in the size <strong>of</strong> insect populations.Complex systems possess characteristics <strong>of</strong> both stable <strong>and</strong> chaotic systems. One the oneh<strong>and</strong> they exhibit sufficiently stable behavior to allow retention <strong>of</strong> information, to transferinformation across different systems <strong>and</strong> across time, <strong>and</strong> to reproduce themselves; on theother h<strong>and</strong>, they are sufficiently chaotic to permit the creative use <strong>of</strong> information <strong>and</strong> toallow change.SchemataA key behavior <strong>of</strong> complex systems is their ability to process information <strong>and</strong> use <strong>of</strong>schema’s 54 . This is similar to the idea <strong>of</strong> mental modules <strong>of</strong> systems theory (<strong>and</strong> theconnection between schema’s <strong>and</strong> Boyd’s work does not have to be addressed at lengthagain). <strong>The</strong> systems sense their environments <strong>and</strong> collect information about surroundingconditions. <strong>The</strong>y then respond to this information via a set <strong>of</strong> internal models that guidetheir actions. In the data stream a system identifies particular regularities <strong>and</strong> compressesthem in a concise schema’s or internal models ( in psychology schema’s refer to a patternused by the mind to grasp an aspect <strong>of</strong> reality). This schema is used to sift through data insubsequent stages, to describe the environment <strong>and</strong> make predictions <strong>of</strong> events. <strong>The</strong>descriptions can be more or less accurate, the predictions can be more or less predictable <strong>and</strong>the prescriptions can lead to more or less favorable outcomes. All these consequences arethen fed back to exert ‘selection pressures’ on the competition among various schemata(here we see the familiar doctrine process surface, doctrines can be seen as internal modelsfor military organizations).<strong>The</strong>re are two kinds <strong>of</strong> internal models, or schemata; tacit <strong>and</strong> overt. A tacit internalmodel simply prescribes a current action, under an implicit prediction <strong>of</strong> some desired futurestate (a notion Boyd included in his comm<strong>and</strong> <strong>and</strong> control philosophy). An overt internalmodel is used as a basis for explicit, but internal, exploration <strong>of</strong> alternatives, a process <strong>of</strong>tencalled lookahead 55 . A schema thus has several functions: a description <strong>of</strong> an observed system,a prediction <strong>of</strong> events, or a prescription for behavior <strong>of</strong> the complex adaptive system itself.Whether Complex Systems adapt to change depends in part on their capability to processinginformation, to form <strong>and</strong> select adequate models <strong>and</strong> to anticipate. Thus variants <strong>of</strong> themodel are subject to selection <strong>and</strong> progressive adaptation 56 .53 Capra, (1996) citing Stuart Kauffman, p.204.54 See John Holl<strong>and</strong>, Hidden Order, How Adaptation Builds Complexity (Perseus Books, Reading,Massechussetts, 1995), pp.31-34 <strong>and</strong> Gell-Mann, pp.17-25.55 Holl<strong>and</strong>, p.33.56 Gell-Mann interestingly makes the comparison between schemata <strong>and</strong> scientific theories, notinghow Popper's falsification principle acts as a selection mechanism. However, he also notes that science136

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