Constraint Satisfaction Problem

Constraint Satisfaction Problem

Constraint satisfaction problems (CSPs) are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations. CSPs represent the entities in a problem as a homogeneous collection of finite constraints over variables, which is solved by constraint satisfaction methods. CSPs are the subject of intense research in both artificial intelligence and operations research, since the regularity in their formulation provides a common basis to analyze and solve problems of many unrelated families. CSPs often exhibit high complexity, requiring a combination of heuristics and combinatorial search methods to be solved in a reasonable time. The boolean satisfiability problem (SAT), the Satisfiability Modulo Theories (SMT) and answer set programming (ASP) can be roughly thought of as certain forms of the constraint satisfaction problem.

Examples of simple problems that can be modeled as a constraint satisfaction problem

  • Eight queens puzzle
  • Map coloring problem
  • Sudoku

Examples demonstrating the above are often provided with tutorials of ASP, boolean SAT and SMT solvers. In the general case, constraint problems can be much harder, and may not be expressible in some of these simpler systems.

Read more about Constraint Satisfaction Problem:  Formal Definition, Resolution of CSPs, Variants of CSPs

Famous quotes containing the words constraint, satisfaction and/or problem:

    In America a woman loses her independence for ever in the bonds of matrimony. While there is less constraint on girls there than anywhere else, a wife submits to stricter obligations. For the former, her father’s house is a home of freedom and pleasure; for the latter, her husband’s is almost a cloister.
    Alexis de Tocqueville (1805–1859)

    When a man’s feeling and character are injured, he ought to seek a speedy redress.... My character you have injured, and further you have insulted me in the presence of a court and large audience. I therefore call upon you as a gentleman to give me satisfaction for the same.
    Andrew Jackson (1767–1845)

    From cradle to grave this problem of running order through chaos, direction through space, discipline through freedom, unity through multiplicity, has always been, and must always be, the task of education, as it is the moral of religion, philosophy, science, art, politics and economy; but a boy’s will is his life, and he dies when it is broken, as the colt dies in harness, taking a new nature in becoming tame.
    Henry Brooks Adams (1838–1918)