---
title: "EXPERT: A System for Developing Consultation Models"
authors:
  - "Sholom M. Weiss"
  - "Casimir A. Kulikowski"
doi: ""
url: "https://ijcai.org/proceedings/1979/207"
pdf: "https://ijcai.org/proceedings/1979/0207.pdf"
venue: "Proceedings of the Sixth International Joint Conference on Artificial Intelligence"
year: 1979
pages: ""
track: ""
keywords:
---

# EXPERT: A System for Developing Consultation Models

Sholom M. Weiss, Casimir A. Kulikowski

*Proceedings of the Sixth International Joint Conference on Artificial Intelligence*.

## Abstract

EXPERT is a system for designing and building models for consultation. An EXPERT model consists of hypotheses (which can be structured into causal and taxonomic networks); findings or observations; and decision rules for logically relating these components. A relatively simple language for describing models is employed. Logical and probabilistic rules are restricted to particular types which implicitly order the tasks performed by the control strategies: classification, question selection, and explanation. Explicit representations of decision rules are emphasized, as opposed to suboptimal scoring functions. This results in more easily predictable and correctable performance for a model. The system is currently being used to develop consultation models in domains such as rheumatology, ophthalmology, and endocrinology.