Automata networks and methods for obtaining optimized dynamicall

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395 23, G06F 1518

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active

056029640

ABSTRACT:
A system for obtaining optimum performance and optimum graceful degradation from Lie algebra descriptions of a spectrum of reconfigurable network architectures, including, neural nets and cellular automata comprised of interconnected nodes. The dynamic performance of the computational process is monitored by continued extraction of Liapounov exponent indicators, reconfiguring said reconfigurable network architecture when said indicators predict non-optimum performance. The reconfigurable networks are reconfigured and compensatory adjustments are made of signal sampling performance and operating system performance of said reconfigurable network architecture, and the operating system architecture is optimized to the computational task by reconfiguration of nodal capabilities and degree of interconnectedness between nodes to obtain any Lie algebra description architectural form between ideal neural net with maximum interconnectedness and ideal cellular automata with maximum nodal capability.

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Local Controllability and Motion Planning For Some Classes of Systems with Drift Proceedings of the 30th Conference on Decision and Control--IEEE Dec. 1991.

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