Activity-based Credit Assignment (ACA) in Hierarchical Simulation

Abstract : The use of activity-based credit assignment (ACA) for the automatic evaluation and selection of candidate components of systems is considered here. The whole process consists of a precise automatic structured speci fication of systems. Mathematical de nitions and algorithms are provided. ACA converges on good components/compositions faster than repository-based random search. As systems constitute a vast class of problems to be speci ed by a modeler, this automatic composition of systems opens new research perspectives. The paper also places ACA within the context of existing approaches to credit assignment in classifi er systems.
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https://hal.archives-ouvertes.fr/hal-00674306
Contributor : Alexandre Muzy <>
Submitted on : Monday, February 27, 2012 - 10:03:37 AM
Last modification on : Thursday, January 11, 2018 - 6:23:04 AM
Long-term archiving on : Monday, November 26, 2012 - 10:16:33 AM

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  • HAL Id : hal-00674306, version 1

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Alexandre Muzy, Bernard P. Zeigler. Activity-based Credit Assignment (ACA) in Hierarchical Simulation. IEEE/ACM/SCS: SpringSim Multi-conference, Symposium On Theory of Modeling and Simulation, Mar 2012, Orlando, United States. ⟨hal-00674306⟩

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