Original scientific paper The doctoral, thesis: “Expert System for Diagnosis and Optimisation of Marine Diesel Engines” is the result of many years of extensive practical and theoretical work on problems in the field of testing marine diesel engines and incorporating new technology during diagnosis. This work deals with problems of a complex analysis and testing a system of Diesel engine parame...

The basic agents and services of a multi-agent diagnostic system implemented in the G2 real-time expert system environment are described in this paper. The following basic services of an agent platform relevant to diagnostic applications have been implemented: a general agent object that is capable of performing cyclic, ticker (clock triggered) and one-shot behaviors, sending and receiving mess...

The use of patient-specific Decision Support Systems (DSS) may improve the quality and efficiency of health care, while reducing its costs at the same time. The adoption of such a system is largely compatible with the principles of " Evidence Based Medicine " and patient oriented care. PROMEDAS (PRObabilistic MEdical Diagnostic Advisory System) is a prototype DSS, based on a probabilistic model...

A computer system which aids computer engineers in fault diagnosis is described. The system, called CRIB (Computer Retrieval Incidence Bank) is shown to fit into the class of pattern-directed inference systems. Emphasis is placed on the "before" and "after" phases of system generation and it is shown why, to be called an expert system, these phases are important. The forms of knowledge used in ...

introduction bacterial meningitis is a known infectious disease which occurs at early ages and should be promptly diagnosed and treated. bacterial and aseptic meningitis are hard to be distinguished. therefore, physicians should be highly informed and experienced in this area. the main aim of this study was to suggest a system for distinguishing between bacterial and aseptic meningitis, using f...

This paper presents a new methodology for the incremental refinement of a knowledge base consisting of inductive rules. The novelty of the approach resides in the use of a body of deep knowledge for guiding the process of rule refinement, even in case this deep knowledge is too complex or not specific enough to deductively generate classification rules. Justifications derived from the deep know...

This paper presents the basic characteristics of a prototype fuzzy expert system for condition monitoring applications, in particular, oil analysis in Diesel engines. The system allows for reasoning under absent or imprecise measurements, providing with an interval-valued diagnostic of the suspected severity of a particular fault. A set of so-called metarules complements the basic fault diction...

In this paper we present POEMS a postoperative expert medical system currently under development in Leeds. The knowledge representation scheme using KR, an object oriented system [1], and its relation to this medical domain is described. A diagnostic engine based on KR's constraint propagation mechanism is outlined, and a knowledge acquisition scheme utilizing Active and Passive Learning method...

The acceptance of a knowledge-based system by the end user has been regarded as one of the major criteria for its success. The user interface design is one of the main reasons that hindered knowledge-based systems transition from prototype to everyday use. The success of knowledge-based systems therefore depends on the user interfaces as well as the efficiency of its knowledge encoding and reas...

Fuzzy Logic, a neural network and an expert system are combined to build a hybrid diagnosis system. With this system we introduce a new approach to the acquisition of knowledge bases. Our system consists of a fuzzy expert system with a dual source knowledge base. Two sets of rules are acquired, inductively from given examples and deductively formulated by a physician. A fuzzy neural network ser...