SOAR: an architecture for general intelligence
Artificial Intelligence
Unified theories of cognition
Derivational Analogy in PRODIGY: Automating Case Acquisition, Storage, and Utilization
Machine Learning - Special issue on case-based reasoning
Dynamics of complex systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Behavioral pattern identification through rough set modelling
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Near Sets. Special Theory about Nearness of Objects
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
Interactive Granular Computing in Rightly Judging Systems
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
A wistech paradigm for intelligent systems
Transactions on rough sets VI
Discovery of process models from data and domain knowledge: a rough-granular approach
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Modeling complex architectures based on granular computing on ontology
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Discovery of processes and their interactions from data and domain knowledge
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Rough sets and vague concept approximation: from sample approximation to adaptive learning
Transactions on Rough Sets V
Near Sets. Special Theory about Nearness of Objects
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Interactive information systems: Toward perception based computing
Theoretical Computer Science
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We discuss some rough set tools for perception modelling that have been developed in our project for a system for modelling networks of classifiers for compound concepts. Such networks make it possible to recognize behavioral patterns of objects and their parts changing over time. We present a method that we call a method for on-line elimination of non-relevant parts (ENP). This method was developed for on-line elimination of complex object parts that are irrelevant for identifying a given behavioral pattern. Some results of experiments with data from the road simulator are included.