One aspect of rational behavior is that agents can pursue multiple goals in parallel. Current BDI theory and systems do not provide a theoretical or architectural framework for dec...
Alexander Pokahr, Lars Braubach, Winfried Lamersdo...
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
tract State Machines to Concurrent Transaction Logic Dumitru Roman1 , Michael Kifer2 , and Dieter Fensel1 1 STI Innsbruck, Austria 2 State University of New York at Stony Brook, US...
Taxonomic case-based reasoning is a conversational casebased reasoning methodology that employs feature subsumption taxonomies for incremental case retrieval. Although this approa...