Meta-level architectures for dynamic control of reasoning processes are quite powerful. In the literature many applications in reasoning systems modelling complex tasks are descri...
This paper presents an integrated modeling framework where the learning and knowledge retrieval mechanisms of the ACT-R cognitive architecture are combined with a semantic resource...
This paper presents an initial design of the "Plug-nAnalyze" framework for the tradeoff analysisin determining architecture alternatives that have different strength and...
Intelligent software agents aiming for general intelligence are likely to be exceedingly complex systems and, as such, will be difficult to implement and to customize. Frameworks h...
Abstract. We propose CLP(QS), a declarative spatial reasoning framework capable of representing and reasoning about high-level, qualitative spatial knowledge about the world. We sy...