Metainterpreters for expert system construction

Metainterpreters for Expert System Construction

D We discuss the use of metainterpreters for building expert systems in PROLOG. Three issues are covered. The first is a technique for mixing a metainterpreter into an object program imbuing it with the functionality specified by the metainterpreter. Mixing a metainterpreter into a PROLOG program consists of two steps: partially evaluating the metainterpreter with respect to the object program ...

An expert system for construction planning

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...

Methodological Simplicity in Expert System Construction

Probabilistic rules and their variants have recently supported several successful applications of expert systems, in spite of the difficulty of committing informants to particular conditional probabilities or “certainty factors,” and in spite of the experimentally observed insensitivity of system performance to perturbations of the chosen values. Here we survey recent developments concerning re...

Risk Identification Expert System for Metro Construction Based on Bim

This paper presents a BIM-based Risk Identification Expert System (B-RIES) for metro construction, composed of three main built-in subsystems: BIM extraction, knowledge base management, and risk identification subsystems. The engineering parameter information related to risk factors is extracted from the BIM of a specific project where the IFC standard plays a bridge role between the BIM data a...

Expert System for Industrial Waste Recycling In Road Construction