Discovering related concepts in a multi-agent system among agents with diverse ontologies is difficult using existing knowledge representation languages and approaches. We describ...
Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. ...
In previous work, we developed a framework for expressing general preference information in default logic and logic programming. Here we show that the approach of Brewka and Eiter ...
Much work has been done on building a parser for natural languages, but most of this work has concentrated on supervised parsing. Unsupervised parsing is a less explored area, and...
The expected first hitting time is an important issue in theoretical analyses of evolutionary algorithms since it implies the average computational time complexity. In this paper,...