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Activity-based credit assignment (ACA) in hierarchical simulation

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 specification of systems. Mathematical definitions 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 specified 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 classifier systems.