Abstract
We consider 3 place relations I(X,Z,Y) where X, Y and Z are sets of propositional variables and I(X,Z,Y) stands for the statement "Knowing Z renders X independent of Y". These relations are called graphoids. The theory of graphoids uncovers the axiomatic basis of informational dependencies and ties it to vertex separation in graphs. In this paper we advance towards a characterization of graphoids by families of graphs. Given two graphs R and B, let M be the set of all independencies which are implied by R and B under closure by the 5 graphoid axioms (defined in the text). We show the following results:
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An algorithm which generates a family of graphs that represent M.
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The number of graphs needed to represent M might be exponential.
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A polynomial time algorithm for the following problem: given an independency t is t ∈ M?
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We define annotated graphs and show an efficient representation of M by this model.
The results shown in this report are part of the MSc Thesis of the first author done under the supervision of the second author — to be presented to Graduate School of the Technion, Israel Institute of Technology. Contribution of the second author supported by the fundation for the promotion of research at the Technion.
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Bibliography
Even, S., 1979. Graph algorithms, Potomac, md.: Computer science Press.
Geiger, D., 1987. "Towards the Formalization of Informational Dependencies," UCLA Cognitive Systems Laboratory, Technical Report 880053 (R-102), (Based on the author's MS thesis).
Lauritzen, S.L., 1982 Lectures on contingency tables. 2nd ed. Ablborg Denmark: University of Aalborg press.
Paz, A., 1987 "A Full Characterization of Pseudographoids in Terms of Families of Undirected Graphs," UCLA Cognitive Systems Laboratory, Technical Report 870055 (R-95).
Pearl, J., and Paz, A., 1985. "GRAPHOIDS: A Graph-Based Logic for Reasoning about Relevance Relations," UCLA Computer Science Department, Technical Report 850038 (R-53); In Advances in Artificial Intelligence-II, Edited by B. Du Boulay et al. Amsterdam: North-Holland
Pearl, J., 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan-Kaufmann, San Mateo, CA.
Pearl, J. and Verma, T.S., 1987. The logic of representing dependencies by directed graphs. Proc. 6th Natl. Conf. on AI (AAAI-87), Seattle, 374–79.
Verma, T.S., 1986. "Causal networks: Semantics and expressiveness. Technical report R-65, Cognitive Systems Laboratory, University to California, Los Angeles.
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© 1990 Springer-Verlag Berlin Heidelberg
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Geva, R.Y., Paz, A. (1990). Toward a complete representation of graphoids in graphs — Abridged Version. In: Nagl, M. (eds) Graph-Theoretic Concepts in Computer Science. WG 1989. Lecture Notes in Computer Science, vol 411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52292-1_4
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DOI: https://doi.org/10.1007/3-540-52292-1_4
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