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Expert systems
Veselovský, Michal ; Konečný, Pavel (referee) ; Dvořák, Jiří (advisor)
Expert systems (ES) are commercially one of the most succesfull use of artificial intelligence (AI) - since eighties of the 20th century. They are often used in medicine, industry, science, trade, banking etc. Expert system is a software using knowledge of human experts for solving very complicated tasks and problems, which would otherwise require participating or consultation of one or more specialists on these issues. This software simulates decision-making of human expert in solving complicated tasks, and tries to reach the most probable result, ideally same as the expert´s opinion. Typical feature of expert systems, differencing it from usual software, is separating of decision making engine (inference engine) and knowledge base – same expert system with different knowledge base may serve for different purposes. This feature is used for creating empty expert systems – shells. Other features, which may not occur at all ES, are ability to make decision with uncertainty, and ability to explain the decision. Goal of this work is to describe basic principles of ES, using freely available information sources, and then describe and analyze resources for creating of these systems, using mainly information from official web sites.
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Expert systems
Veselovský, Michal ; Konečný, Pavel (referee) ; Dvořák, Jiří (advisor)
Expert systems (ES) are commercially one of the most succesfull use of artificial intelligence (AI) - since eighties of the 20th century. They are often used in medicine, industry, science, trade, banking etc. Expert system is a software using knowledge of human experts for solving very complicated tasks and problems, which would otherwise require participating or consultation of one or more specialists on these issues. This software simulates decision-making of human expert in solving complicated tasks, and tries to reach the most probable result, ideally same as the expert´s opinion. Typical feature of expert systems, differencing it from usual software, is separating of decision making engine (inference engine) and knowledge base – same expert system with different knowledge base may serve for different purposes. This feature is used for creating empty expert systems – shells. Other features, which may not occur at all ES, are ability to make decision with uncertainty, and ability to explain the decision. Goal of this work is to describe basic principles of ES, using freely available information sources, and then describe and analyze resources for creating of these systems, using mainly information from official web sites.
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