Discovering classes of strongly equivalent logic programs

  • Authors:
  • Fangzhen Lin;Yin Chen

  • Affiliations:
  • Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong;Department of Computer Science, South China Normal University, Guangzhou, P.R. China

  • Venue:
  • Journal of Artificial Intelligence Research
  • Year:
  • 2007

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Abstract

In this paper we apply computer-aided theorem discovery technique to discover theorems about strongly equivalent logic programs under the answer set semantics. Our discovered theorems capture new classes of strongly equivalent logic programs that can lead to new program simplification rules that preserve strong equivalence. Specifically, with the help of computers, we discovered exact conditions that capture the strong equivalence between a rule and the empty set, between two rules, between two rules and one of the two rules, between two rules and another rule, and between three rules and two of the three rules.