An incremental curative learning approach for planning with incorrect domain theories

Incorrect domain theories, and the flawed plans derived from them, are an inescapable aspect of planning in the real world. Previous learning approaches to the incorrect domain theory problem have relied on diagnosing failures to determine fixes to the domain theory to prevent the failures in the future. However, perfect failure diagnosis is itself an intractable problem, and preventive learners are subject to the problem of faulty fixes due to incorrect failure diagnoses.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Engineering, System Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Gervasio, Melinda Tumaneng

Contributors dc:contributor

• DeJong, Gerald F.

• Engineering, System Science
• Artificial Intelligence
• Computer Science

Statement dc:rights

• Copyright 1996 Gervasio, Melinda Tumaneng

Language dc:language

eng

Identifier

9780591198201
AAI9712280
(UMI)AAI9712280

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/23724