Modeling human behavior can be complicated and expensive. To be able to reduce costs, new methodologies and tools must be developed that automate the creation of human behavior mo...
Despite the growing interest for component-based systems, few works tackle the question of the trust we can bring into a component. This paper presents a method and a tool for bui...
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Our experience in the IDAS natural language generation project has shown us that IDAS'S KLONE-like classifier, originally built solely to hold a domain knowledge base, could ...
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...