On Computing Constraint Abduction Answers

  • Authors:
  • Michael Maher;Ge Huang

  • Affiliations:
  • NICTA and University of NSW, Sydney, Australia;NICTA and University of NSW, Sydney, Australia

  • Venue:
  • LPAR '08 Proceedings of the 15th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning
  • Year:
  • 2008

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Abstract

We address the problem of computing and representing answers of constraint abduction problems over the Herbrand domain. This problem is of interest when performing type inference involving generalized algebraic data types. We show that simply recognizing a maximally general answer or fully maximal answer is co-NP complete. However we present an algorithm that computes the (finite) set of fully maximal answers of an abduction problem. The maximally general answers are generally infinite in number but we show how to generate a finite representation of them when only unary function symbols are present.