AKRR'08
International and Interdisciplinary Conference on
Adaptive Knowledge Representation and Reasoning
Espoo, Finland,
September 2008
Background
Knowledge representation and reasoning are traditional areas within
artificial intelligence. In the modern society they are underlying
building blocks in various kinds of information systems and networks.
Knowledge representation and reasoning are also central themes in
cognitive science and epistemology. Relevant questions include how we
know what we know, how we can make useful inferences, and how we can
use computers in models and applications of knowledge representation
and reasoning. Traditional models have been based on predicate logic,
semantic networks and other symbolic representations.
One of the central goals of the AKRR'08
conference is to probe alternative representations and algorithms such
as statistical latent variable models, vector space representations,
statistical machine learning,
artificial neural networks, and dynamical systems.
