Comparative similarity, tree automata, and diophantine equations

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Abstract

The notion of comparative similarity 'X is more similar or closer to Y than to Z' has been investigated in both foundational and applied areas of knowledge representation and reasoning, e.g., in concept formation, similarity-based reasoning and areas of bioinformatics such as protein sequence alignment. In this paper we analyse the computational behaviour of the 'propositional' logic with the binary operator 'closer to a set τ1 than to a set τ2 and nominals interpreted over various classes of distance (or similarity) spaces. In particular, using a reduction to the emptiness problem for certain tree automata, we show that the satisfiability problem for this logic is ExpTime-complete for the classes of all finite symmetric and all finite (possibly non-symmetric) distance spaces. For finite subspaces of the real line (and higher dimensional Euclidean spaces) we prove the undecidability of satisfiability by a reduction of the solvability problem for Diophantine equations. As our 'closer' operator has the same expressive power as the standard operator > of conditional logic, these results may have interesting implications for conditional logic as well. © Springer-Verlag Berlin Heidelberg 2005.

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APA

Sheremet, M., Tishkovsky, D., Wolter, F., & Zakharyaschev, M. (2005). Comparative similarity, tree automata, and diophantine equations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3835 LNAI, pp. 651–665). https://doi.org/10.1007/11591191_45

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