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University of Illinois at Urbana-Champaign
An explanation-based learning approach to incremental planning
Abstract
dc:descriptionPlanning is the task of finding a set of operators whose executive transforms the current world state into a world state which satisfies some goal criterion. Because many tasks involve focussed change of a world state, planning techniques are relevant to a wide variety of important AI tasks such as automatic programming, process design and control, and manufacturing engineering.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Chien, Steve Ankuo
- Contributors dc:contributor
-
- DeJong, Gerald F.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- Copyright 1991 Chien, Steve Ankuo
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9124395
(UMI)AAI9124395 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/19510