Notes on Chapter 6: Constraint Satisfaction Problems ¶ constraint satisfaction problems, or CSPs for short, are a flexible approach to searching that have proven useful in many AI-style problems CSPs ...

Constraint Programming and Machine Learning Applications Publication Trend The graph below shows the total number of publications each year in Constraint Programming and Machine Learning Applications.

Andrei Bulatov’s contributions to the field of computer science were recognized as he was one of five researchers to receive the Gödel Prize for their work on the classification of the counting ...

A method is given for maximizing a linear function subject to a quadratic and a number of linear constraints. The method differs from general convex programming methods by terminating in a finite ...

The system uses the ILOG solver constraint satisfaction package and its high-level programming library to reduce the number of strategies to a manageable fraction. This allows a later careful ...