Artificial Intelligence (AI), especially expert systems technology, has very promising possibilities for more fully automating the analysis of medical research data. The Program on the Surgical Control of the Hyperlipidemias (POSCH), a national multi-centered clinical trial has been experimenting with using AI in its data analyses for several years. Three projects are described in this paper. T...

Risk assessment for construction safety is critical for effective project control. Traditional risk assessment approaches mostly rely on expert opinion because of limited accident data. Therefore, assessment results may lack precision because of experts‟ subjectivity and limited cognition when multiple safety risks are assessed simultaneously. This study developed a new assessment approach base...

1N-ATE is an on-going project aimed at developing expert consultant systems for guiding a novice technician through each step of an electronics troubleshooting session. One goal of the project is to automatically produce, given a set of initial symptoms, a binary (pass/fail) decision tree of testpoints to be checked by the technician. This paper discusses our initial approach using a modified g...

The purpose of the paper is to present a concept of energy efficiency and financial evaluation of counterflow dryer. Energy efficiency and many other efficiency indexes of the dryer and all additional devices like heater, heat exchangers, tubing and fans are calculated. Expert system provides also the financial evaluation of the investment. Many investments could be considered. The system provi...

At present, the competition to participate in international projects through EPC general contracting mode is becoming more and fierce. Accurate identification objective classification of risk factors are prerequisites ensure success project. In order improve research level China's project management, based on relevant journal literature expert interviews management projects, existing results su...

Case based reasoning (CBR) uses the knowledge from former experiences ("known cases"). Since special knowledge of an expert is mainly subject to his experiences, the CBR techniques are a good base for the development of expert systems. We investigate the problem for technical diagnosis. Diagnosis is not considered as a classiication task, but as a process to be guided by computer assisted exper...

Predicting the development of artificial intelligence (AI) is a difficult project – but a vital one, according to some analysts. AI predictions already abound: but are they reliable? This paper will start by proposing a decomposition schema for classifying them. Then it constructs a variety of theoretical tools for analysing, judging and improving them. These tools are demonstrated by careful a...

This paper reports on a project, conducted jointly between SaskEnergy/Transgas and the University of Regina, which aims at developing an integrated decision support system for the optimization of natural gas pipeline operations. In this integrated approach, both expert systems and operations research techniques are used to model the operations of the gas pipelines. The decision support system c...

The goal of this project is to develop a cognitive model of expert ship-handling performance. This model was integrated with an intelligent tutoring system and an immersive visual simulation used by the U.S. Navy. This intelligent tutor and expert cognitive model (written in a Java-based version of ACT-R) provides feedback to the student based on the student actions in order to reduce workload ...

The use of fuzzy logic to describe abstract concepts and when designing decision making systems to make decisions that are much closer to the way a human does is an interesting and useful area to explore. To effectively implement these types of systems expert knowledge is required in the application area. This can be a problem if the people designing a system of this nature are not experts in t...