Pattern recognition: human and mechanical
Pattern recognition: human and mechanical
Features and fluents (vol. 1): the representation of knowledge about dynamical systems
Features and fluents (vol. 1): the representation of knowledge about dynamical systems
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Discovering similar patterns in time series
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Rough mereology in information systems. A case study: qualitative spatial reasoning
Rough set methods and applications
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Set Analysis of Preference-Ordered Data
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Monitoring, Security, and Rescue Techniques in Multiagent Systems (Advances in Soft Computing)
Monitoring, Security, and Rescue Techniques in Multiagent Systems (Advances in Soft Computing)
Rough sets and information granulation
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
Towards an Ontology of Approximate Reason
Fundamenta Informaticae - Concurrency Specification and Programming Workshop (CS&P'2001)
Information Granule Decomposition
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P'2000)
A sequential pattern mining algorithm using rough set theory
International Journal of Approximate Reasoning
Satisfiability of Formulas from the Standpoint of Object Classification: The RST Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
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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.