Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Kanada, Y., A method of vector processing for shared symbolic data, Parallel Computing, X (1993) XXX-XXX. Conventional processing techniques for pipelined vector processors such a...
: This paper describes a design methodology for an object oriented database,basedon a semantic network. This approach is based on the assumption that Yemanticdata models are more p...
Recent progress in information extraction has shown how to automatically build large ontologies from high-quality sources like Wikipedia. But knowledge evolves over time; facts ha...
Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol,...
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...