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On knowledge evolution: acquisition, revision, contraction

On knowledge evolution: acquisition, revision, contraction We consider evolution of knowledge bases caused by a sequence of basic steps of acquisition of a new information, either consistent or inconsistent with the original system. To make this process comply with the Principe of Minimal Change, a special evidence metric is introduced for measuring distance between states of knowledge. Then a novel semantics of knowledge bases is developed suggested by the heuristics of weighted maximally consistent subsets. The latter is efficiently applied to the processes of consistent and inconsistent acquisition of knowledge, belief revision and contraction. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Non-Classical Logics Taylor & Francis

On knowledge evolution: acquisition, revision, contraction

Journal of Applied Non-Classical Logics , Volume 7 (1-2): 35 – Jan 1, 1997
35 pages

On knowledge evolution: acquisition, revision, contraction

Abstract

We consider evolution of knowledge bases caused by a sequence of basic steps of acquisition of a new information, either consistent or inconsistent with the original system. To make this process comply with the Principe of Minimal Change, a special evidence metric is introduced for measuring distance between states of knowledge. Then a novel semantics of knowledge bases is developed suggested by the heuristics of weighted maximally consistent subsets. The latter is efficiently applied to the...
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Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1958-5780
eISSN
1166-3081
DOI
10.1080/11663081.1997.10510905
Publisher site
See Article on Publisher Site

Abstract

We consider evolution of knowledge bases caused by a sequence of basic steps of acquisition of a new information, either consistent or inconsistent with the original system. To make this process comply with the Principe of Minimal Change, a special evidence metric is introduced for measuring distance between states of knowledge. Then a novel semantics of knowledge bases is developed suggested by the heuristics of weighted maximally consistent subsets. The latter is efficiently applied to the processes of consistent and inconsistent acquisition of knowledge, belief revision and contraction.

Journal

Journal of Applied Non-Classical LogicsTaylor & Francis

Published: Jan 1, 1997

Keywords: knowledge; acquisition; revision; contraction

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