Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
This paper considers a semantic approach for merging logic programs under answer set semantics. Given logic programs P1, . . . , Pn, the goal is to provide characterisations of the...
James P. Delgrande, Torsten Schaub, Hans Tompits, ...
In spite of the more advanced modularisation mechanisms, aspect-oriented programs still suffer from evolution problems. Due to the fragile pointcut problem, seemingly safe modifica...
Andy Kellens, Kim Mens, Johan Brichau, Kris Gybels
Although classical object-oriented programming languages provide high-level modeling capacities t data type, inheritance etc.), they remain low-level when it comes to data manipul...
In this work we introduce event-driven grammars, a kind of graph grammars that are especially suited for visual modelling environments generated by meta-modelling. Rules in these g...