This paper presents a new view of problem solving motivated by a new kind of truth maintenance system. Unlike previous truth maintenance systems which were based on manipulating justifications. this truth maintenance system is, in addition, based on manipulating assumption sets. As a consequence it is possible to work effectively and efficiently with inconsistent information, context switching is free, and most backtracking (and all retraction) is avoided. These capabilities motivate a different kind of problem -solving architecture in which multiple potential solutions are explored simultaneously. This architecture is particularly well-suited for tasks where a reasonable fraction of the potential solutions must be explored.
%0 Journal Article
%1 Kleer1986
%A de Kleer, Johan
%D 1986
%J Artificial Intelligence
%K kiwi
%T An Assumption-based TMS
%V 28
%X This paper presents a new view of problem solving motivated by a new kind of truth maintenance system. Unlike previous truth maintenance systems which were based on manipulating justifications. this truth maintenance system is, in addition, based on manipulating assumption sets. As a consequence it is possible to work effectively and efficiently with inconsistent information, context switching is free, and most backtracking (and all retraction) is avoided. These capabilities motivate a different kind of problem -solving architecture in which multiple potential solutions are explored simultaneously. This architecture is particularly well-suited for tasks where a reasonable fraction of the potential solutions must be explored.
@article{Kleer1986,
abstract = {This paper presents a new view of problem solving motivated by a new kind of truth maintenance system. Unlike previous truth maintenance systems which were based on manipulating justifications. this truth maintenance system is, in addition, based on manipulating assumption sets. As a consequence it is possible to work effectively and efficiently with inconsistent information, context switching is free, and most backtracking (and all retraction) is avoided. These capabilities motivate a different kind of problem -solving architecture in which multiple potential solutions are explored simultaneously. This architecture is particularly well-suited for tasks where a reasonable fraction of the potential solutions must be explored.},
added-at = {2008-11-14T13:33:38.000+0100},
author = {de Kleer, Johan},
biburl = {https://www.bibsonomy.org/bibtex/2b5df9abeabe183a23f39520b007298b7/fraktalek},
citeulike-article-id = {3508838},
interhash = {6af8a9f1927c0e3800c47e6dc454e968},
intrahash = {b5df9abeabe183a23f39520b007298b7},
journal = {Artificial Intelligence},
keywords = {kiwi},
posted-at = {2008-11-13 14:13:57},
priority = {2},
timestamp = {2008-11-14T13:33:39.000+0100},
title = {An Assumption-based TMS},
volume = 28,
year = 1986
}