On the Complexity of Plan Adaptation by Derivational Analogy in a Universal Classical Planning Framework

TitleOn the Complexity of Plan Adaptation by Derivational Analogy in a Universal Classical Planning Framework
Publication TypeBook Chapters
Year of Publication2002
AuthorsAu T-C, Muñoz-Avila H, Nau DS
EditorCraw S, Preece A
Book TitleAdvances in Case-Based Reasoning
Series TitleLecture Notes in Computer Science
Volume2416
Pagination199 - 206
PublisherSpringer Berlin / Heidelberg
ISBN Number978-3-540-44109-0
KeywordsComputer science
Abstract

In this paper we present an algorithm called DerUCP, which can be regarded as a general model for plan adaptation using Derivational Analogy. Using DerUCP, we show that previous results on the complexity of plan adaptation do not apply to Derivational Analogy. We also show that Derivational Analogy can potentially produce exponential reductions in the size of the search space generated by a planning system.

URLhttp://www.springerlink.com/content/db2mr13j90mfrcaw/abstract/