Activity-based Credit Assignment (ACA) in Hierarchical Simulation
Résumé
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.
Domaines
Modélisation et simulation
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