Artificial-life techniques-specifically, agent-based models and evolutionary learning algorithms-provide a potentially powerful new approach to understanding some of the fundamental processes of war. The paper introduces a simple artificial-like "toy model" of combat called Enhanced ISAAC Neural Simulation Tool (EINSTein). EINSTein is designed to illustrate how certain aspects of land combat can be viewed as self-organized, emergent phenomena resulting from the dynamical web of interactions among notional combatants. EINSTein's bottom-up, synthesist approach to the modeling of combat stands in stark contrast to the more traditional top-down, or reductionist approach taken by conventional military models, and represents a step toward developing a complex systems theoretic toolbox for identifying, exploring, and possibly exploiting self-organized emergent collective patterns of behavior on the real battlefield A description of the model is provided, along with examples of emergent agent patterns and behaviors.


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    Title :

    Exploring self-organized emergence in an agent-based synthetic warfare lab


    Contributors:

    Published in:

    Kybernetes, London ; 32 , 1-2 ; 38-76


    Publication date :

    2003


    Size :

    39 Seiten, 50 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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