---
title: "Induction of Relational Productions in the Presence of Background Information"
authors:
  - "Steven A. Vere"
doi: ""
url: "https://ijcai.org/proceedings/1977/82"
pdf: "https://ijcai.org/proceedings/1977/0082.pdf"
venue: "Proceedings of the Fifth International Joint Conference on Artificial Intelligence"
year: 1977
pages: "349-354"
track: "Knowledge Acquisition"
keywords:
---

# Induction of Relational Productions in the Presence of Background Information

Steven A. Vere

*Proceedings of the Fifth International Joint Conference on Artificial Intelligence*, pages 349-354.

## Abstract

An operational theory is developed for the generalization of relational productions in the presence of background information. This provides a unified theoretical solution for a broad class of intelligence paradigms, including letter sequence completion, visual analogies, and the learning of operators from before-and-after situation pairs or from situation sequences . Relational productions are used as a formal model for operators. The generalization process is given access to a common body of background information. Background literals which have association chains to foreground literals may be incorporated into the generalization. This theory has been computer implemented in SNOBOL4, and examples illustrate its application in the four paradigms mentioned above .