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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb003...
Part of book or chapter of book . 2006 . Peer-reviewed
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Variations on backtracking for TMS

Authors: Ulrich Junker;

Variations on backtracking for TMS

Abstract

We review the backtracking technique of Doyle's Truth Maintenance System (TMS). Backtracking in principle is to recover from a failure state by retracting some assumptions. We discuss three possible applications for the TMS: (1) Transforming a contradiction proof into a direct proof if a false-node is labelled with In. (2) Selecting another extension if an odd loop failure arises. (3) Doing theory revision if no extension exists. In this paper, we elaborate the first and the second alternative. If the TMS is used in an autoepistemic or default prover (as in [15]) it needs sufficient justifications for first-order proofs. We show how backtracking allows to complete this set incrementally by applying a special case of the deduction theorem. For finding extensions, we describe Doyle's label methods as meta rules deriving statements of the form In(p) and ¬In(q). If a node q of an odd loop is labelled with In and Out we obtain a contradiction in this meta reasoning system. Hence, we can again apply backtracking to identify and retract the label assumptions being responsible for the failure. Thus, we obtain an efficient TMS that detects an extension whenever one exists.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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