@inproceedings{e16e82c20fd142d3b287cd6421c5e358,
title = "Base Belief Change and Optimized Recovery",
abstract = "Optimized Recovery (OR) adds belief base optimization to the traditional Recovery postulate-improving Recovery adherence without sacrificing adherence to the more accepted postulates or to the foundations approach. Reconsideration and belief liberation systems both optimize a knowledge base through consolidation of a chain of base beliefs; and recovered base beliefs are returned to the base. The effects match an iterated revision axiom and show benefits for pre-orders, as well. Any system that can resolve an inconsistent belief base can produce these results.",
keywords = "Base belief revision, knowledge base optimization, reconsideration, recovery, truth maintenance system (TMS)",
author = "Frances Johnson and Shapiro, \{Stuart C.\}",
note = "Publisher Copyright: {\textcopyright}2006 The authors. All rights reserved.; 3rd European Starting AI Researchers Symposium, STAIRS 2006 ; Conference date: 23-05-2006",
year = "2006",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "162--173",
editor = "Loris Penserini and Pavlos Peppas and Anna Perini",
booktitle = "STAIRS 2006 - Proceedings of the 3rd Starting AI Researchers' Symposium",
address = "Netherlands",
}