We compared the performance of Bayesian learning strategies and approximations to such strategies, which are far less computationally demanding, in a setting requiring individuals to make binary decisions based on experience. Extending Bayesian updating schemes, we compared the different strategies while allowing for various implementations of memory and knowledge about the environment. The dyn...

despite several calls to support evidence-informed policy-making, variations in uptake of evidence into policy persist. this editorial brings together and builds on previous knowledge translation (kt) frameworks and theories to present a simple, yet, holistic approach for promoting evidence-informed policies. the proposed conceptual framework is characterized by its impact-oriented approach and...

Over the years, nonmonotonic rules have proven to be a very expressive and useful knowledge representation paradigm. They have recently been used to complement the expressive power of Description Logics (DLs), leading to the study of integrative formal frameworks, generally referred to as hybrid knowledge bases, where both DL axioms and rules can be used to represent knowledge. The need to use ...

Heute übliche Lösungen im Bereich der Wissensentdeckung in Daten (Data Mining bzw. Knowledge Discovery in Data Bases – KDD) bieten keine oder nur unzureichende Werkzeuge, um bei der Suche nach interessanten Mustern in Daten Hintergrundwissen des Anwenders über die Analysedomäne einzubinden. Das hier beschriebene Dissertationsprojekt sucht hierfür eine Lösung durch die Integration von Ansätzen u...

the generation, acquisition, utilization and application of knowledge/ information is an indispensable factor for growth and development. nigeria’s vision 20: 2020 is a blueprint designed for the development of the country with emphasis on making it one of the top developed economies by the year 2020. however, the observation and analysis of the vision’s objectives and thematic areas shows that...