Machine Learning

history of Expert Systems (ES), qualities of KBS in comparison with human subject, human place in the building of ES, architecture of ES, diagnostic and planing ES
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
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, ID3 algorithm, generation of production rules, AQ11 algorithm
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 ES, verification and validation of ES, user acceptance, application areas of ES
knowledge acquisition in economics, diagrams of data flows, study of the realization abilities, paradox of the knowledge engineering, economic applications