SIGAI

Recognizing that the knowledge of experts is qualitatively and not just quantitatively different from the knowledge of novices is an important pre-requisite to conducting effective knowledge acquisition. This article reviews the current cognitive ...

This article reports on work conducted at Nottingham University to investigate the utility and efficacy of selected knowledge elicitation (KE) techniques. The experimental approach taken to this research is advanced as a necessary and essential part of ...

A variety of methods have been used by expert system developers to elicit experts' knowledge and reasoning strategies. Additionally, a number of methods have been used by experimental psychologists to explore hypotheses about the nature of expertise. ...

Good communication between the domain expert and the knowledge engineer is a must for successful knowledge engineering. However, this is not an easily achieved goal because much of the process of knowledge engineering is still a relatively ad hoc ...

In this paper a paradigm for knowledge acquisition is presented. The paradigm, referred to as Multiexpert Knowledge System (MKS), is based on the philosophy that many decision problems which are candidate expert system applications do not rely on just a ...

Automated knowledge-acquisition tools can assist system builders in the creation of knowledge bases for expert systems. An important class of such tools includes programs that contain detailed models of families of application tasks. Users enter ...

Thesis: With respect to the fault diagnosis and repair problem,• experts who are not programmers can work alone to specify test and repair plans and make use of a natural idiom;• a graphical interface can be built which limits keyboard input ...

First generation expert systems rely on the use of surface knowledge, such as associational or heuristic. Second generation technology is characterized by two additional features: deep knowledge and machine learning. Three second generation methods for ...

Knowledge acquisition is a critical aspect of the knowledge engineering approaches that are used in complex diagnostic problem-solving. Experience with a machine diagnostic problem pointed to difficulties in mapping the acquired knowledge to the fault ...

Learning by Understanding Explanations (LBUE) can be an important tool for automatic knowledge acquisition in diagnostic domains. It takes fuller advantage of an expert's knowledge than some more automatic approaches and uses model-based reasoning to ...

The knowledge acquisition tools and techniques discussed in the literature deal primarily with the acquisition of human expertise applied in a particular problem domain. The acquired expertise generally includes both the decision making strategies of ...

A non-deterministic tabular representation for decision-making criteria is described and related to decision trees and production rules. Its advantages as a knowledge acquisition tool are discussed and illustrated in the context of prototyping an ...

We present a methodology and an implemented system, EAR*, for supporting knowledge acquisition. Its goal is to build an implementation-independent knowledge-level description of the target knowledge base, guided by our current understanding of the ...

Knowledge Acquisition has historically been a bottleneck in the development of knowledge based systems. While efficient and powerful techniques have been developed for knowledge representation and processing, transferring knowledge from the problem ...

In this paper we present a methodology and a program, PETRARCA, for the extensive acquisition of a case based semantic dictionary. The major limitation of existing NLP systems is a poor encoding of semantic knowledge; on the other side, it is ...

Ever since knowledge acquisition systems have been applied to real world problems, the issue of integration has become important (Gaines 88). Most often, the following types of integration are considered:• Systems are to be integrated: the ...

In the mid-80's when I joined the Texas Instruments Defense Systems Artificial Intelligence Lab, expert systems were a solution looking for a problem. My first assignment as a knowledge engineer was knowledge acquisition for a small expert system ...

The most time consuming portion of constructing an expert system is the knowledge acquisition phase. A general knowledge acquisition tool designed around a hypertext concept could allow a knowledge engineer to list important concepts, create nodes ...

The traditional method of knowledge acquisition when constructing a knowledge-based (expert) system is to depend primarily upon a single source, usually an expert in the domain under consideration. This approach has several advantages: no need to ...

The threat of AIDS is widely recognized as an important educational problem, particularly in the college age population. To date, intelligent software has not been developed and employed to effectively disseminate the critical knowledge relevant to this ...

Whether conducted manually or with the help of automated software tools, knowledge acquisition is a process fraught with numerous communication problems. It has become widely accepted that domain experts sometimes have trouble articulating their ...

The knowledge elicitation phase of expert system development continues to be identified as a major hurdle in construction of comprehensive, functional expert systems (Berry, 1987; Hoffman, 1987). One of the major difficulties is that expert knowledge is ...

This research involves a continuing effort aimed at the development and unification of the prerequisite underlying theoretical foundations for an adequate approach to knowledge elicitation from repertory grid data. The repertory grid is a sorting test ...

Knowledge acquisition is the transfer and transformation of expertise from knowledge sources in the world (mainly people) into a form that can be executed by a knowledge-based system to perform an expert task. It is widely acknowledged that the ...

The EKSPRO expert system on PC/AT is based on a 3-D CAD system (Scribe modeller), linked to a solar irradiation calculation package (Sun Code), to PASCAL material and equipment data bases, and to a Prolog II based inference engine. It allows architects ...

As more (and more) knowledge-based systems are designed for operational use, it becomes apparent that the knowledge engineering (KE) process of transferring domain expertise into the system consumes the single largest block of development time (...

As knowledge bases grow in size and complexity, tools for extracting and encoding knowledge from the domain experts become critical for the success of an expert system project. Many of the available expert system tools are designed for a broad range of ...

The performance of modeling techniques in emulating expert decision making behavior at classification tasks might be contingent upon the characteristics of tasks to which the model is applied.

The Program for Regional Observing and Forecasting Services is investigating the use of expert systems in weather forecasting, using "learning systems" as models. The first model to be tested was an adaption of Quinlan's ID3 and Friedman's CART. A "...

Analyzing and describing the dynamic scenes of an autonomous intelligent vehicle is a problem tackled in many recent research projects. However, the suggested (or realized) solutions do not introduce any methodology - they are direct implications of ...