@inproceedings{1799c2784b6e4885a0e7ced3655336f3,
title = "Toward a process model of explanation with implications for the type-token problem",
abstract = "The ability to generate explanations plays a central role in human cognition. Generating explanations requires a deep conceptual understanding of the domain in question and tremendous flexibility in the way concepts are accessed and used. Together, these requirements constitute challenging design requirements for a model of explanation. We describe our progress toward providing a such a model, based on the LISA model of analogical inference (Hummel & Holyoak, 1997, 2003). We augment LISA with a novel representation of causal relations, and with an ability to flexibly combine knowledge from multiple sources in LTM without falling victim to the type-token problem. We demonstrate how the resulting model can serve as a starting point for an explicit process model of explanation.",
keywords = "Analogy, Explanation, LISA",
author = "Hummel, {John E.} and Landy, {David H.} and Derek Devnich",
year = "2008",
language = "English (US)",
isbn = "9781577353980",
series = "AAAI Fall Symposium - Technical Report",
pages = "79--86",
booktitle = "Naturally-Inspired Artificial Intelligence - Papers from the AAAI Fall Symposium, Technical Report",
note = "2008 AAAI Fall Symposium ; Conference date: 07-11-2008 Through 09-11-2008",
}