Anti-prenexing and Prenexing for Modal Logics

Efficient proof methods for normal modal logics are highly desirable, as such logical systems have been widely used in computer science to represent complex situations. Resolution-based methods are often designed to deal with formulae in a normal form and the efficiency of the method (also) relies on how efficient (in the sense of producing fewer and/or shorter clauses) the translation procedure is. We present a normal form for normal modal logics and show how the use of simplification, for specific normal logics, together with anti-prenexing and prenexing techniques help us to produce better sets of clauses.

[1]  Ronald Fagin,et al.  Reasoning about knowledge , 1995 .

[2]  Clare Dixon,et al.  Resolution-based proof for multi-modal temporal logics of knowledge , 2000, Proceedings Seventh International Workshop on Temporal Representation and Reasoning. TIME 2000.

[3]  Christoph Weidenbach,et al.  Computing Small Clause Normal Forms , 2001, Handbook of Automated Reasoning.

[4]  Uwe Egly On the Value of Antiprenexing , 1994, LPAR.

[5]  Clare Dixon,et al.  Clausal temporal resolution , 1999, TOCL.

[6]  W. van der Hoek,et al.  Epistemic logic for AI and computer science , 1995, Cambridge tracts in theoretical computer science.

[7]  Anand S. Rao,et al.  Decision Procedures for BDI Logics , 1998, J. Log. Comput..

[8]  David A. Plaisted,et al.  A Structure-Preserving Clause Form Translation , 1986, J. Symb. Comput..