Rule-based specifications have been very successful as a declarative approach in many domains, due to the handy yet solid foundations offered by rule-based machineries like term and graph rewriting. Realistic problems, however, call for suitable techniques to guarantee scalability. For instance, many domains exhibit a hierarchical structure that can be exploited conveniently. This is particularly evident for composition associations of models. We propose an explicit representation of such structured models and a methodology that exploits it for the description and analysis of model- and rule-based systems. The approach is presented in the framework of rewriting logic and its efficient implementation in the rewrite engine Maude and is illustrated with a case study. © 2010 Springer-Verlag.
CITATION STYLE
Boronat, A., Bruni, R., Lluch Lafuente, A., Montanari, U., & Paolillo, G. (2010). Exploiting the hierarchical structure of rule-based specifications for decision planning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6117 LNCS, pp. 2–16). https://doi.org/10.1007/978-3-642-13464-7_2
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