Reasoning about change: time and causation from the standpoint of artificial intelligence
Reasoning about change: time and causation from the standpoint of artificial intelligence
Some philosophical problems from the standpoint of artificial intelligence
Readings in nonmonotonic reasoning
Rough mereology in information systems. A case study: qualitative spatial reasoning
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research
TSDM '00 Proceedings of the First International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining-Revised Papers
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Handbook on Ontologies (International Handbooks on Information Systems)
Handbook on Ontologies (International Handbooks on Information Systems)
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
Spatio-Temporal Approximate Reasoning over Complex Objects
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
Speed up gradual rule mining from stream data! A B-Tree and OWA-based approach
Journal of Intelligent Information Systems
A sequential pattern mining algorithm using rough set theory
International Journal of Approximate Reasoning
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We consider the problem of reasoning about information changes in the context of complex concepts approximated hierarchically and actions that can be triggered to change properties of investigated objects. A given object can be in an unwanted state, where some concept is not satisfied to the required degree. We would like to find a plan (sequence of actions to be executed) of object’s transformation to a new state which is acceptable. Presented approach is based on reasoning about changes.