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Distance-Based Non-Deterministic Semantics
Ofer Arieli, Anna Zamansky
39 - 50
Frontiers in Artificial Intelligence and Applications
Volume 171: Artificial General Intelligence 2008
Abstract

Representing uncertainty and reasoning with dynamically evolving systems are two related issues that are in the heart of many information systems. In this paper we show that these tasks can be successfully dealt with by incorporating distance semantics and non-deterministic matrices. The outcome is a general framework for capturing the principle of minimal change and providing a non-deterministic view of the domain of discourse. We investigate some properties of the entailment relations that are induced by this framework and demonstrate their usability in some test-cases.

$35.00 / €27.50 / £22.00
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