Mark Atkins, Florida Institute of Technology, USA

Two approaches are taken here in an endeavor to discover natural definitions of knowledge and wisdom that are justifiable with respect to both theory and practice, using graph theory: (1) The metrics approach is to produce graphs that force an increase in various graph metrics, whereas (2) the dimensions approach is based on the observation that the graphical representation of aggelia in the DIKW hierarchy seems to increase in dimension with each step up the hierarchy. The dimensions method produces far more cogent definitions than the metrics method, so that is the set of definitions proposed, especially for use in artificial intelligence.

Knowledge Representation, Artificial Intelligence, Graph Theory, DAG, DIKW