---
title: "Consistency and Plausible Reasoning"
authors:
  - "J. Ross Quinlan"
doi: ""
url: "https://ijcai.org/proceedings/1983/33"
pdf: "https://ijcai.org/proceedings/1983/0033.pdf"
venue: "Proceedings of the Eighth International Joint Conference on Artificial Intelligence"
year: 1983
pages: "137-143"
track: "Expert Systems"
keywords:
---

# Consistency and Plausible Reasoning

J. Ross Quinlan

*Proceedings of the Eighth International Joint Conference on Artificial Intelligence*, pages 137-143.

## Abstract

The usual approach to plausible reasoning is to associate a validity measure with each fact or rule, and to compute from these a validity measure for any deduction that is made. This approach is shown to be inappropriate for some classes of problems, particularly those in which the evidence is not internally consistent. Two current plausible reasoning architectures are summarized and each applied to the same smal l task. An analysis of th e performance of these systems reveals deficiencies in each case . The paper then outlines a new approach based on the discovery of consistent subsets of the given evidence . This system can be used either in isolation or in conjunction with a validity - propagating architecture. Comparat iv e results from implementations of all three systems are presented .