Affiliations: Polish-Japanese Institute of Information Technology,
Koszykowa 86, 02-008 Warsaw, Poland. E-mail: synak@pjwstk.edu.pl | Institute of Mathematics, University of
Rzeszów, Rejtana 16A, 35-959 Rzeszów, Poland. E-mail:
bazan@univ.rzeszow.pl | Institute of Mathematics, Warsaw University, Banacha
2, 02-097 Warsaw, Poland. E-mail: skowron@mimuw.edu.pl | Department of Electrical and Computer Engineering,
University of Manitoba, Winnipeg, Manitoba R3T 5V6, Canada. E-mail:
jfpeters@ee.umanitoba.ca
Abstract: We discuss the problems of spatio-temporal reasoning in the context
of hierarchical information maps and approximate reasoning networks (AR
networks). Hierarchical information maps are used for representations of domain
knowledge about objects, their parts, and their dynamical changes. AR networks
are patterns constructed over sensory measurements and they are discovered from
hierarchical information maps and experimental data. They make it possible to
approximate domain knowledge, i.e., complex spatio-temporal concepts and
reasonings represented in hierarchical information maps. Experiments with
classifiers based on AR schemes using a road traffic simulator are also briefly
presented.
Keywords: complex objects, concept approximation, spatio-temporal reasoning, information maps, pattern, sensor measurement, AR schemes, AR networks
