Towards a Science of Experimental Complexity: An Artificial-Life Approach to Modeling Warfare Export

@inproceedings{ISAACEINSTein, abstract = {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 combat. This paper takes a step toward this goal by introducing two simple artificial-life-like "toy models" of land combat called ISAAC and EINSTein. These models are designed to illustrate how certain aspects of land combat can be viewed as emergent phenomena resulting from the collective, nonlinear, decentralized interactions among notional combatants. Their bottom-up, synthesist approach to the modeling of combat stands in stark contrast to the more traditional top-down, or reductionist approach taken by most conventional models, and represents a preliminary step toward developing a complex systems theoretic analyst's toolbox for identifying, exploring, and possibly exploiting self-organized emergent collective patterns of behavior on the battlefield.}, author = {Ilachinski, A.}, booktitle = {5th Experimental Chaos Conference}, citeulike-article-id = {1699197}, editor = {Ding, M. and Ditto, W. L. and Pecora, L. M. and Spano, M. L.}, keywords = {agent-based-modelling, complexity}, posted-at = {2007-09-27 05:06:16}, priority = {2}, title = {Towards a Science of Experimental Complexity: An Artificial-Life Approach to Modeling Warfare}, year = {1999} }

TY - CONF ID - ISAACEINSTein L3 - citeulike-article-id:1699197 N2 - 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 combat. This paper takes a step toward this goal by introducing two simple artificial-life-like "toy models" of land combat called ISAAC and EINSTein. These models are designed to illustrate how certain aspects of land combat can be viewed as emergent phenomena resulting from the collective, nonlinear, decentralized interactions among notional combatants. Their bottom-up, synthesist approach to the modeling of combat stands in stark contrast to the more traditional top-down, or reductionist approach taken by most conventional models, and represents a preliminary step toward developing a complex systems theoretic analyst's toolbox for identifying, exploring, and possibly exploiting self-organized emergent collective patterns of behavior on the battlefield. TI - Towards a Science of Experimental Complexity: An Artificial-Life Approach to Modeling Warfare T2 - 5th Experimental Chaos Conference KW - agent-based-modelling KW - complexity AU - Ilachinski, A A2 - Ding, M A2 - Ditto, WL A2 - Pecora, LM A2 - Spano, ML PY - 1999/// ER -