---
title: "Computing Effect-to-Cause/Cause-to-Effect Diagnoses Within NdL"
authors:
  - "Béchir el Ayeb"
  - "Shengrui Wang"
doi: ""
url: "https://ijcai.org/proceedings/1993/184"
pdf: "https://ijcai.org/proceedings/1993/0184.pdf"
venue: "Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence"
year: 1993
pages: "1332-1337"
track: "Neural Networks"
keywords:
---

# Computing Effect-to-Cause/Cause-to-Effect Diagnoses Within NdL

Béchir el Ayeb, Shengrui Wang

*Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence*, pages 1332-1337.

## Abstract

The computation of effect-to-cause (called also deductive) diagnoses is rather straighforward whatever the considered framework- logical, neural , etc. This paper focuses on the computation of cause-to-effect (called also abductive) diagnoses. Ultimately, we show how mechanize the abduction within a neural framework and illustrate our mechanization by illustrati ve examples. Finally, we present instructive lessons learnt from our experimentation with NdL (a Neural Diagnosis Laboratory) and point out the innovative features of this work as well as the important issues deserving further investigations.