Explaining Explanation, Part 1: Theoretical Foundations
- 25 May 2017
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Intelligent Systems
- Vol. 32 (3), 68-73
- https://doi.org/10.1109/mis.2017.54
Abstract
This is the first in a series of essays that addresses the manifest programmatic interest in developing intelligent systems that help people make good decisions in messy, complex, and uncertain circumstances by exploring several questions: What is an explanation? How do people explain things? How might intelligent systems explain their workings? How might intelligent systems help humans be better understanders as well as better explainers? This article addresses the theoretical foundations.Keywords
This publication has 13 references indexed in Scilit:
- Explanation and Abductive InferencePublished by Oxford University Press (OUP) ,2012
- Flexecution, Part 2: Understanding and Supporting Flexible ExecutionIEEE Intelligent Systems, 2007
- Counterfactuals and Causal InferencePublished by Cambridge University Press (CUP) ,2007
- An Abductive Theory of Scientific Method.Psychological Methods, 2005
- Learning to Understand the Forms of Causality Implicit in Scientifically Accepted ExplanationsStudies in Science Education, 2003
- Scientific Explanation and the Sense of UnderstandingPhilosophy of Science, 2002
- The Extraordinary Ordinary Powers of Abductive ReasoningTheory & Psychology, 1998
- Judging probable cause.Psychological Bulletin, 1986
- Peirce’s Theory of AbductionPublished by Springer Science and Business Media LLC ,1970
- The Inference to the Best ExplanationThe Philosophical Review, 1965