Abstract:
Summary form only given. Two expert systems are used to demonstrate how expert system technology can support arts applications. ARTCRITIC is a prototype of a large-scale system designed to contain a knowledge base about the basis for a detailed critical analysis of a work of visual art. The second expert system demonstrated is GLUE. GLUE contains a knowledge base covering several dozen adhesives that would be most appropriate to use in reconstructuring, consolidating, and stabilizing damaged wooden objects of art.< Keywords:
Dozen
By using Visual C++ 6.0 as the developing method,utilizing SQL,Access and the classes such as CDaoTableDef,CDaoRecordset,CDaoQueryDef,CDaoDatabase which are encapsulated in MFC DAO.A kind of welding procedure expert system has been developed.The manipulation including browse,addition,deletion,correction of the knowledge base has been solved to the expansion of the expert system.The relevant knowledge base operation of welding procedure expert system has been introduced by example.One of the most important problems-management of knowledge base has been solved in this paper.Testing results show that the expert system can meet the actual demands as its good design and arrangement.
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Visual Basic
Sql server
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The phrase 'expert system' has been widely used to describe computer systems which are capable of performing at or near to the level of an expert. Expert systems may be recognized by their construction or by their performance. Structurally, expert systems usually comprise a knowledge-base, an inference engine and an interface with the user as shown in Figure 1. The knowledge-base contains the raw material of the expert system; the rules and facts representing the expertise. An important part of that knowledge-base usually will be heuristic in nature and this is particularly so with respect to expert systems in medicine. A large amount of a specialist's knowledge is informal and experimential in nature and this heuristic knowledge is often what sets the specialist apart from the general practitioner or indeed sets the latter apart from the medical student. The inference engine is a computer program which attempts to resolve the user's enquiries by operating on and interacting with the knowledge-base. Finally, the interface with the user serves two purposes: first, to make the system relatively easy to use and second, and very importantly, to provide an explanation and justification for the results, advice and suggestions obtained from using the system (Winfield, 1982). There will be other parts to an expert system which are used to refine and modify the knowledge-base. The performance of an expert system is of utmost importance and it is the most fundamental test for whether a computer system falls into this classification. d'Agapeyeff (1984) defines expert systems as being: a) programmed to a significant extent, from an explicit representation of empirical human knowledge; b) readable by those who provided the knowledge and, potentially, by similarly knowledgeable users and managers; c) able to provide explanations of their reasoning on demand; d) quickly alterable with (comparatively) low risk of unwanted side effects.' d'Agapeyeff describes the knowledge-base as being empirical, suggesting that it is informal or heuristic knowledge rather than comprising clear and formal rules as written in textbooks. This does not preclude the inclusion of formal knowledge in the expert system but it is clear that heuristic knowledge occupies a key role in the development of expert systems. Much medical knowledge is heuristic in nature; for example, an experienced doctor might use a rule in diagnosis such as: 'If symptoms A and B are observed then C is plausible but certainly not D'. In the field of medicine, expert systems will enable specialist expertise (a rare commodity) to be available to non-specialists such as general practitioners.(ABSTRACT TRUNCATED AT 400 WORDS)
Legal expert system
Forward chaining
Interface (matter)
Subject-matter expert
Phrase
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Abstract An "expert system" consists of a knowledge base containing information of a general nature and an inference system that receives data from the user and applies the knowledge base to produce advice and explanations. An expert system stripped of its knowledge base (a tool) may be used to build new expert systems. Existing systems relevant for laboratory medicine are reviewed. The role in the laboratory of expert systems and their integration and evaluation are discussed.
Legal expert system
Subject-matter expert
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A description is given of expert system technology, including the principles, development, and applications of expert systems. Examples are described that illustrate the scope of expert systems applications in concrete construction, and the use of expert systems to replace or supplement guides prepared by the American Concrete Institute (ACI). The expert system, an interactive system consisting of 3 major components, a domain-speciic knowledge base of facts and heuristics, a problem-specific data base, and an inference engine (control system), is schematically presented. Knowledge and knowledge acquisition are discussed. Expert systems software is also discussed.
Subject-matter expert
Legal expert system
Scope (computer science)
Heuristics
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Expert System Environment/VM is an expert system shell—a general-purpose system for constructing and executing expert system applications. An application expert has both factual knowledge about an application and knowledge about how that factual knowledge should be organized and processed. In addition, many applications require application-dependent procedures to access databases or to do specialized processing. An important and novel part of Expert System Environment/VM is the technique used to allow the expert or knowledge-base builder to enter the control knowledge and to interface with application-dependent procedures. This paper discusses these high-level interfaces for the knowledge-base builder.
Legal expert system
Interface (matter)
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Expert system has been used in many fields such as medicine, agriculture, forestry, public health, economics etc. Expert system represent the expert to provide advice to the user so that no longer need to meet directly with an expert. Knowledge base is the most important and decisive part in expert system. Errors in the knowledge base would result in an incorrect conclusion. However, due to time and budget constraints, an expert will be difficult to gain knowledge from a variety of sources including research then the information derived from the public can be an important source of knowledge for expert system. In this paper we purpose a model for development of a knowledge base in an expert system by combining expert knowledge and information or evidence from the public (tacit knowledge) that expected an expert system that is always factual. The combination of evidence using Dempster's rule of combination.
Legal expert system
Subject-matter expert
Expert elicitation
Tacit Knowledge
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Mechanical design requires high-experience knowledge, and an expert system is effective in such a situation. In case knowledge is inputted into this expert system, it is desirable for an expert to directly input knowledge. In this research, a system to which the knowledge input to an expert system is made as for anyone is proposed. Therefore, an expert system structure is described first, and the knowledge base built by the production system is described berow. The Expert system is made as an experiment by them, and the mechanical design expert system and knowledge base has validity checked.
Legal expert system
Subject-matter expert
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The article proposes the development of an expert diagnostic system, namely, the construction of a knowledge base and internal rules for assessing the condition of the gas pumping unit by the parameters of vibration. The choice of environment for the implementation of the expert system was carried out. On the basis of the performed researches of failures and defects of the gas pumping unit, the method of diagnosing those defects were proposed, and also the conditions to determine the normal state of the functioning of the installation were formulated. When developing the expert system, a general structure, the construction of a knowledge database, and the construction of internal rules for the diagnosis of the gas pumping unit were proposed. The rules of construction of the expert systems with variable values were considered. The determination of the technical condition of the unit using vibration parameters is made both by the content of the relevant information at the time, and on the basis of analysis of its change over the time. An expert system was offered that provides an analysis of transitional states of control objects, also describes the knowledge base and the number of rules that are used for conclusions of the expert system.
Basis (linear algebra)
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The article presents the issue of determining diagnostic information for the needs of testing the condition of wind farm equipment. To this end, the essence of the structure of an intelligent expert system was presented and described. The structure of the tested object is shown in the form of a functional and diagnostic model. Based on the developed model of the examined object, diagnostic information was determined in the form of a set of basic elements and a set of diagnostic signals, which are later used in the construction of an expert knowledge base. The expert knowledge base is determined by sets of facts and rules applied. An important part of this article is description of the structure of the expert system and the expert knowledge base used in it. Keywords: wind farm, renewable energy, technical diagnostics, diagnostic inference, artificial intelligence
Legal expert system
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