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On the semantics of theory change: arbitration between old and new information
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Proceedings of the twelfth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems table of contents
Washington, D.C., United States
Pages: 71 - 82  
Year of Publication: 1993
ISBN:0-89791-593-3
Author
Peter Z. Revesz  Univ. of Nebraska, Lincoln
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 28,   Citation Count: 23
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ABSTRACT

Katsuno and Mendelzon divide theory change, the problem of adding new information to a logical theory, into two types: revision and update. We propose a third type of theory change: arbitration. The key idea is the following: the new information is considered neither better nor worse than the old information represented by the logical theory. The new information is simply one voice against a set of others already incorporated into the logical theory. From this follows that arbitration should be commutative. First we define arbitration by a set of postulates and then describe a model-theoretic characterization of arbitration for the case of propositional logical theories. We also study weighted arbitration where different models of a theory can have different weights.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  23


REVIEW

"Vasant B. Kaujalgi : Reviewer"

Theory of change is relevant to databases, artificial intelligence, and belief revision. General rules for updating are difficult for large heterogeneous databases. Logical theory is complex for such databases, particularly when views and inte  more...