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Compositional evolution: interdisciplinary investigations in evolvability, modularity, and symbiosis
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Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression
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Variable discrimination of crossover versus mutation using parameterized modular structure
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Attractor Landscapes and Active Tracking: The Neurodynamics of Embodied Action
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Facilitating evolutionary innovation by developmental modularity and variability
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Dependency structure matrix, genetic algorithms, and effective recombination
Evolutionary Computation
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Can selfish symbioses effect higher-level selection?
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Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Herbert A. Simon's characterization of modularity in dynamical systems describes subsystems as having dynamics that are approximately independent of those of other subsystems (in the short term). This fits with the general intuition that modules must, by definition, be approximately independent. In the evolution of complex systems, such modularity may enable subsystems to be modified and adapted independently of other subsystems, whereas in a nonmodular system, modifications to one part of the system may result in deleterious side effects elsewhere in the system. But this notion of modularity and its effect on evolvability is not well quantified and is rather simplistic. In particular, modularity need not imply that intermodule dependences are weak or unimportant. In dynamical systems this is acknowledged by Simon's suggestion that, in the long term, the dynamical behaviors of subsystems do interact with one another, albeit in an "aggregate" manner—but this kind of intermodule interaction is omitted in models of modularity for evolvability. In this brief discussion we seek to unify notions of modularity in dynamical systems with notions of how modularity affects evolvability. This leads to a quantifiable measure of modularity and a different understanding of its effect on evolvability.