A framework for reasoning under uncertainty based on non-deterministic distance semantics

  • Authors:
  • Ofer Arieli;Anna Zamansky

  • Affiliations:
  • School of Computer Science, The Academic College of Tel-Aviv, Israel;School of Computer Science, Tel-Aviv University, Israel

  • Venue:
  • International Journal of Approximate Reasoning
  • Year:
  • 2011

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Abstract

In this paper, we introduce a general and modular framework for formalizing reasoning with incomplete and inconsistent information. Our framework is composed of non-deterministic semantic structures and distance-based considerations. This combination leads to a variety of entailment relations that can be used for reasoning about non-deterministic phenomena and are inconsistency-tolerant. We investigate the basic properties of these entailments, as well as some of their computational aspects, and demonstrate their usefulness in the context of model-based diagnostic systems.