Improving the Efficiency of Minimal Model Generation by Extracting Branching Lemmas

DOI Web Site Web Site 6 Citations 17 References
  • Hasegawa Ryuzo
    Graduate School of Information Science and Electrical Engineering, Kyushu University
  • Fujita Hiroshi
    Graduate School of Information Science and Electrical Engineering, Kyushu University
  • Koshimura Miyuki
    Graduate School of Information Science and Electrical Engineering, Kyushu University

Bibliographic Information

Other Title
  • 分岐補題の抽出による極小モデル生成の効率化
  • ブンキホ ダイ ノ チュウシュツ ニ ヨル キョクショウ モデル セイセイ ノ コウリツカ

Search this article

Abstract

We present an efficient method for minimal model generation. The method employs branching assumptions and lemmas so as to prune branches that lead to nonminimal models, and to reduce minimality tests on obtained models. Branching lemmas are extracted from a subproof of a disjunct, and work as factorization. This method is applicable to other approaches such as Bry’s constrained search or Niemelä’s groundedness test, and greatlyimpro ves their efficiency. We implemented MM-MGTP based on the method. Experimental results with MM-MGTP show a remarkable speedup compared to MM-SATCHMO.

Journal

Citations (6)*help

See more

References(17)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top