The difficulty of domain knowledge acquisition is one of the most sensible challenges of intelligent tutoring systems. Relying on domain experts and building domain models from sc...
In this work we explore how the complexity of a problem domain affects the performance of evolutionary search using a performance-based restart policy. Previous research indicates...
Episodic knowledge is often stored in the form of textual narratives written in natural language. However, a large repository of such narratives will contain both repetitive and n...
This paper presents an extension of classical attributive logic using atomic values of attributes. In the proposed logic set values are allowed and various relational symbols are ...
Typical application fields of Knowledge Based Systems are a usually characterized by having human expertise as the only one source to specify their desired behavior. Their design...
Recent work highlights advantages in decomposing multiclass decision problems into multiple binary problems. Several strategies have been proposed for this decomposition. The most...
Problem solvers, both human and machine, have at their disposal many heuristics that may support effective search. The efficacy of these heuristics, however, varies with the probl...
In this paper we propose an ontology (formal knowledge base) creation methodology based on integrating external ontologies into the one developed by a community of the domain expe...
The research described here focuses on global tempo transformations of monophonic recordings of saxophone jazz performances. We have investigated the problem of how a performance ...