Among other concerns, construction planning involves the choice of construction technology, the definition of work tasks, the estimation of required resources and durations, the estimation of costs, and the preparation of a project schedule. A prototype knowledge intensive expert system to accomplish these tasks, CONSTRUCTION PLANEX, is described in this paper. This system generates project act...

Both advisory systems and expert systems provide expertise to support decision making in a myriad of domains. Expert systems are used to solve problems in well defined, narrowly focused problem domains, whereas advisory systems are designed to support decision making in more unstructured situations which have no single correct answer. This paper provides an overview of advisory systems, which i...

The solution of most commercial rule-based expert systems consists of two components –the conclusion(s) reached and a calculated measure of belief in the conclusion(s), expressed as a single number. In non-deterministic domains, this number is often the most critical factor in analyzing the solution. However, as this paper reviews, a robust calculus for this number has yet to be documented, ind...

Compared with expert systems for specific disease diagnosis, knowledge-based systems to assist decision making in triage usually try to cover a much wider domain but can use a smaller set of variables due to time restrictions, many of them subjective so that accurate models are difficult to build. In this paper, we first study criteria that most affect the performance of systems for triage assi...

GIS is a tool for the production of applied geographic knowledge as well as for its wide dissemination and use. This paper examines the problems of quality control and monitoring resulting from the ease with which non-experts can now produce, using GIS, many kinds of documents thus far obtainable only from experts. Because the quality of a GIS product is largely a function of the background ass...

The paper discusses methodological achievements which have been incorporated into second generation expert systems. The key ideas are (1) to incorporate more principled knowledge about the domain into a knowledge based system and to reason from these ((rst) principles, (2) to deene the conceptual model explicitly, and (3) to do some abstraction. Abstraction is done on three levels: the factual ...

Medical software tools began to emerge during the 1980's, some became known as 'expert systems'. In contrast to conventional software which process data, expert systems process 'knowledge'. For this reason, expert systems are also called ‘Knowledge Based Systems' (KBS). The most well known medical example is MYCIN.' This expert system was developed at Stanford University in 1976 to aid physicia...

This paper describes a current research project investigating belief revision in intelligent systems by modelling the librarian in interaction with a literature-seeking user. The work is designed both to test a theory of agent behaviour based on belief revision proposed by Galliers, and to evaluate a model of the librarian developed by Belkin, Brooks and Daniels, through computational implement...

This paper presents three prototypical expert systems that were developed in different fields of the steel making industry. It is described which kind of knowledge has to be represented, what are the techniques required for intelligent reasoning, and why expert systems offer better solutions to the described problems than traditional programming approaches. From the given applications the main ...

An expert system for design of progressive die (ESPDIE) has been developed for die designers working in sheet metal industries. Production rule based expert system is utilized for constructing system modules. All modules are user interactive and designed to be loaded in AutoCAD. System is capable of automating all major activities (checking design features of sheet metal parts, design of strip-...