---
title: "The Use of Explanations for Similarity-based Learning"
authors:
  - "Andrea Pohoreckyj Danyluk"
doi: ""
url: "https://ijcai.org/proceedings/1987/55"
pdf: "https://ijcai.org/proceedings/1987/0055.pdf"
venue: "Proceedings of the Tenth International Joint Conference on Artificial Intelligence"
year: 1987
pages: "274-275"
track: "Knowledge Acquisition"
keywords:
---

# The Use of Explanations for Similarity-based Learning

Andrea Pohoreckyj Danyluk

*Proceedings of the Tenth International Joint Conference on Artificial Intelligence*, pages 274-275.

## Abstract

Due to the difficult nature ofMachine Learning, it has often been looked at in the context of "toy" domains or in more realistic domains with simplifying assumptions. We propose an integrated learning approach that combines Explanation-Based and Similarity-Based Learning methods to make learning in an inherently complex domain feasible. We discuss the use of explanations for Similarity-Based Learning and present an example from a program which applies the ideas to the domain of terrorist events.