Factorizing Equivalent Variable Pairs in ROBDD-Based Implementations of Pos

The subject of groundness analysis for (constraint) logic programs has been widely studied, and interesting domains have been proposed. Pos has been recognized as the most suitable domain for capturing the kind of dependencies arising in groundness analysis, and Reduced Ordered Binary Decision Diagrams (ROBDDs) are generally accepted to be the most efficient representation for Pos. Unfortunately, the size of an ROBDDs is, in the worst case, exponential in the number of variables it depends upon. Earlier work [2] has shown that a hybrid representation that separates the definite information from the dependency information is considerably more efficient than keeping the two together. The aim of the present paper is to push this idea further, also separating out certain dependency information, in particular all pairs of variables that are always either both ground or neither ground. We find that this new hybrid representation is a significant improvement over previous work.

• Type: Conference
• Year: 1998
• Where: AGP
• Authors: Roberto Bagnara, Peter Schachte
• Keywords: AGP 1998, Artificial Intelligence, Dependency Information, Groundness Analysis, Hybrid Representation