Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

Constraint satisfaction problems are ubiquitous in many domains. They are typically solved using conventional digital computing architectures that do not reflect the distributed nature of many of ...

constraint satisfaction problems, or CSPs for short, are a flexible approach to searching that have proven useful in many AI-style problems CSPs can be used to solve problems such as graph-coloring: ...

If you’ve ever completed a sudoku puzzle, then you’ve completed a constraint satisfaction problem (CSP). This type of problem is defined as a mathematical question where a number of constraints or ...

Marcel Jackson receives funding from the Australian Research Council for a project involving the algebraic theory of constraint satisfaction problems. When you look at a train or university timetable ...