Case-based problem-solving systems reason and learn from experiences, building up case libraries of problems and solutions to guide future reasoning. The expected bene ts of this l...
As part of our investigation of how abstract principles are operationalized to facilitate their application to specific fact situations, we have begun to develop and experiment wit...
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
Superscalar microprocessor efficiency is generally not as high as anticipated. In fact, sustained utilization below thirty percent of peak is not uncommon, even for fully optimized...
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...