Nonmonotonic reasoning: from complexity to algorithms

  • Authors:

  • C. Cayrol;M.-C. Lagasquie-Schiex;T. Schiex

  • Affiliations:

  • IRIT, 118 route de Narbonne, 31062 Toulouse Cedex, France E-mail: {testemal,lagasq}@irit.fr;IRIT, 118 route de Narbonne, 31062 Toulouse Cedex, France E-mail: {testemal,lagasq}@irit.fr;INRA, Chemin de Borde Rouge, BP 27, 31326 Castanet Tolosan Cedex, France E-mail: tschiex@toulouse.inra.fr

  • Venue:
  • Annals of Mathematics and Artificial Intelligence
  • Year:
  • 1998

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Abstract

The purpose of this paper is to outline various results regarding the computational complexity and the algorithms of nonmonotonic entailment in different coherence‐based approaches. Starting from a (non necessarily consistent) belief base E and a pre‐order on E, we first present different mechanisms for selecting preferred consistent subsets. Then we present different entailment principles in order to manage these multiple subsets. The crossing point of each generation mechanism m and each entailment principle p defines an entailment relation (E,\leq)\mathrel{\mid\!\sim\,}^{p,m}\Phi which we study from the computational complexity point of view. The results are not very encouraging since the complexity of all these nonmonotonic entailment relations is, in most restricted languages, larger than the complexity of monotonic entailment. So, we decided to extend Binary Decision Diagrams technics, which are well suited to the task of solving NP‐hard logic‐based problems. Both theoretical and experimental results are described along this line in the last sections.