Abstract
Intelligent agents are often faced with the problem of trying to merge possibly conflicting pieces of information obtained from different sources into a consistent view of the world. We propose a framework for the modelling of such merging operations with roots in the work of Spohn [14]. Unlike most approaches we focus on the merging of epistemic states, not knowledge bases. We construct a number of plausible merging operations and measure them against various properties that merging operations ought to satisfy. Finally, we discuss the connection between merging and the use of infobases [9], [10].
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
C. Baral, S. Kraus, and J. Minker. Combining multiple knowledge bases. IEEE Transactions on Knowledge and Data Engineering, 3(2):208–220, 1991.
C. Baral, S. Kraus, J. Minker, and V.S. Subrahmanian. Combining multiple knowledge bases consisting of first-order theories. Computational Intelligence, 8(1):45–71, 1992.
Mukesh Dalai. Investigations into a theory of knowledge base revision. In Proceedings of the 7th National Conference of the American Association for Artificial Intelligence, Saint Paul, Minnesota, pages 475–479, 1988.
H. Katsuno and A.O. Mendelzon. Propositional knowledge base revision and minimal change. Artificial Intelligence, 52:263–294, 1991.
Sébastien Konieczny and Ramón Pino-Pérez. On the logic of merging. In A. G. Cohn, L. Schubert, and S. C. Shapiro, editors, Principles of Knowledge Representation and Reasoning: Proceedings of the Sixth International Conference (KR’ 98), pages 488–498, San Francisco, California, 1998. Morgan Kaufmann.
Paolo Liberatore and Marco Schaerf. Arbitration (or How to Merge Knowledge Bases). IEEE Transactions on Knowledge and Engineering, 10(1):76–90, January/February 1998.
J. Lin. Integration of weighted knowledge bases. Artificial Intelligence, 83(2):363–378, 1996.
J. Lin and A. O. Mendelzon. Knowledge base merging by majority. In R. Pareschi and B. Fronhoefer, editors, Dynamic Worlds: From the Frame Problem to Knowledge Management. Kluwer Academic Publishers, Dordrecht, 1999.
Thomas Meyer. Basic Infobase Change. In Norman Foo, editor, Advanced Topics in Artificial Intelligence, volume 1747 of Lecture Notes In Artificial Intelligence, pages 156–167, Berlin, 1999. Springer-Verlag.
Thomas A. Meyer, Willem A. Labuschagne, and Johannes Heidema. Infobase Change: A First Approximation. Journal of Logic, Language and Information (to appear), 2000.
Abhaya C. Nayak. Iterated belief change based on epistemic entrenchment. Erkenntnis, 41:353–390, 1994.
P.Z. Revesz. On the semantics of arbitration. International Journal of Algebra and Computation, 7(2): 133–160, 1987.
P.Z. Revesz. On the Semantics of Theory Change: Arbitration between Old and New Information. In Proceedings PODS’ 93, 12th ACM SIGACT SIGMOD SIGART Symposium on the Principles of Database Systems, pages 71–82, 1993.
Wolfgang Spohn. Ordinal conditional functions: A dynamic theory of epistemic states. In William L. Harper and Brian Skyrms, editors, Causation in Decision: Belief, Change and Statistics: Proceedings of the Irvine Conference on Probability and Causation: Volume II, volume 42 of The University of Western Ontario Series in Philosophy of Science, pages 105–134, Dordrecht, 1988. Kluwer Academic Publishers.
V.S. Subrahmanian. Amalgamating knowledge bases. ACM Transactions on Database Systems, 19(2):291–331, 1994.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Meyer, T. (2000). Merging Epistemic States. In: Mizoguchi, R., Slaney, J. (eds) PRICAI 2000 Topics in Artificial Intelligence. PRICAI 2000. Lecture Notes in Computer Science(), vol 1886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44533-1_31
Download citation
DOI: https://doi.org/10.1007/3-540-44533-1_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67925-7
Online ISBN: 978-3-540-44533-3
eBook Packages: Springer Book Archive