Constraint satisfaction is a research area in computer science and artificial intelligence that deals with solving problems by finding values for variables that satisfy a set of constraints. These constraints can be logical, numerical, or structural in nature, and the goal is to find a solution that meets all of the constraints simultaneously. Constraint satisfaction problems have applications in various fields such as scheduling, planning, design, and optimization. Researchers in this area develop algorithms and techniques to efficiently solve these problems and find optimal solutions.