Foundations of Intelligent Systems

theoretic multi-agent systems.- Searching for features defined by hyperplanes.- Inductive database design.- Enhancing query processing of information systems.- Structuring and retrieval of the complex predicate arguments proper to the NKRL conceptual language.- On the handling of imperfect data in relational database systems from null values to possibility distributions.- Modified component valuations in Valuation Based systems as a way to optimize query processing.- Learning for decision making: The FRD approach and a comparative study.- The application of rough sets-based data mining technique to differential diagnosis of meningoenchepahlitis.- A rough set framework for data mining of prepositional default rules.- An empirical study on the incompetence of attribute selection criteria.- Locally finite, proper and complete operators for refining Datalog programs.- Forest fire management with Negoplan.- An architecture for a deductive Fuzzy Relational Database.- A multi-step process for discovering, managing and refining strong functional relations hidden in databases.- An architecture and methodology for the design and development of Technical Information Systems.- Explaining explanation closure.- PAC-learning logic programs under the closed-world assumption.- Planning, truth criteria and the systematic approach to action and change.- Automated inductive reasoning as a support of deductive reasoning in a user-independent automation of inductive theorem proving.- Semantic query optimization for bottom-up evaluation.- Dynamically changing behavior: An agent-oriented view to modeling intelligent information systems.- A multi-layer architecture for knowledge-based system synthesis.- MuRaLi: An architecture for multiple reasoning.- Heterogeneous view integration via sketches and equations.- DLAB: A declarative language bias formalism.- Knowledge discovery in databases and data mining.- Learning with noise in engineering domains.- Hierarchical conceptual clustering in a first order representation.- Rule discovery from databases with decision matrices.