• history of Knowledge Based Systems (KBS), qualities of KBS in comparison with human subject, human place in the building of KBS, architecture of KBS, diagnostic and planing KBS
• system of production rules and its formal definition, forward and backward chaining, inference network and search through it
• uncertain knowledge processing, uncertainty in knowledge base and data base, types of uncertainty and its representation, models of uncertainty processing
• general extensional model of uncertainty processing, subjective Byesian method
• intuitive model of uncertainty processing, algebraic theory for uncertainty processing
• Dempster - Shaffer spaces, Dempster - Shaffer method of uncertainty knowledge processing
• fuzzy method of uncertainty knowledge processing, fuzzification, inference of simple rules (GRISP, FUZZY-GRISP, FUZZY-FUZZY), inference of multi-rules, aggregation, defuzzification,
• representation of meta-knowledge, meta-knowledge of second level, application of various kinds of meta-knowledge
• process of knowledge acquisition, machine learning, decision tree building, transformation to production rules
• combination data analysis, KDA algorithm, application of KDA
• direct knowledge transformation, knowledge acquisition from experts: direct an indirect methods, repertory grid
• multidimensional scaling, Johnson's hierarchic clustering, modification and refining of knowledge
• explanation mechanism, types of explanations: explanation according prepared texts, explanation generated from program, explanation according model
• security of KBS, verification and validation of KBS, user acceptance, user model
• control of the type "Table" in the system with more knowledge source, application areas of KBS

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