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
Towards an ontology of approximate reason
Fundamenta Informaticae
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
Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
Monitoring, Security, and Rescue Techniques in Multiagent Systems (Advances in Soft Computing)
Monitoring, Security, and Rescue Techniques in Multiagent Systems (Advances in Soft Computing)
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
Rough sets and information granulation
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Information Granule Decomposition
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P'2000)
Modelling Complex Patterns by Information Systems
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
From an Information System to a Decision Support System
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
From Information System to Decision Support System
Transactions on Rough Sets IX
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
Satisfiability of Formulas from the Standpoint of Object Classification: The RST Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Transactions on rough sets VIII
Research on rough set theory and applications in China
Transactions on rough sets VIII
Satisfiability judgement under incomplete information
Transactions on Rough Sets XI
Planning based on reasoning about information changes
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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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.