---
title: "Device Representation and Reasoning with Affective Relations"
authors:
  - "James M. Crawford"
  - "Daniel Dvorak"
  - "Diane J. Litman"
  - "Anil Mishra"
  - "Peter F. Patel-Schneider"
doi: ""
url: "https://ijcai.org/proceedings/1995/233"
pdf: "https://ijcai.org/proceedings/1995/0233.pdf"
venue: "Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence"
year: 1995
pages: "1814-1819"
track: "Qualitative Reasoning and Diagnosis"
keywords:
---

# Device Representation and Reasoning with Affective Relations

James M. Crawford, Daniel Dvorak, Diane J. Litman, Anil Mishra, Peter F. Patel-Schneider

*Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence*, pages 1814-1819.

## Abstract

Device representation and reasoning with affective relations occupies a middle ground between classical model-based diagnosis and heuristic expert systems. A device is modeled by specifying a set of diagnostically motivated affective relations among its components. Reasoning is then performed by a set of inference rules that reason with the model to propagate symptoms through the components. Representation and reasoning with affective relations extends several benefits of classical model-based diagnosis- the model as a unifying framework for knowledge, methodical coverage of the domain , and diagnostic reasoning based on equipment design and causality-to a class of problems where classical model-based diagnosis cannot be applied because the required models cannot be reasonably obtained or represented . Our work evolved from our redesign of a heuristic expert system for monitoring long-distance telephone switching systems, and is applicable to highly complex self-checking systems.