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Maintaining Arc Consistency (MAC)

Maintaining Arc Consistency (MAC) MAC is the same as Back-tracking, but with calls to AC-3 interleaved... function Backtracking-Search(csp) returns solution/failure return Recursive-Backtracking({ }, csp, domains) function Recursive-Backtracking(assignment,csp,domains) returns domains/failure

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Maintaining Arc Consistency (MAC)

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  1. Maintaining Arc Consistency (MAC) MAC is the same as Back-tracking, but with calls to AC-3 interleaved... function Backtracking-Search(csp) returns solution/failure return Recursive-Backtracking({ }, csp, domains) function Recursive-Backtracking(assignment,csp,domains) returns domains/failure if assignment is complete then return assignment var Select-Unassigned-Variable(Variables[csp], assignment, csp) for each value in Order-Domain-Values(var, assignment, csp) do if value is consistent with assignment given Constraints[csp] then add {var = value} to assignment reduced_domains  AC-3(assignment,csp) // check for failure too result Recursive-Backtracking(assignment, csp, reduced_domains) if result  failure then return result remove {var = value} from assignment return failure

  2. function Min-Conflicts(csp,max_steps) returns soln/failure current  complete, random initial var assignment for i=1 to max_steps do if current is a solution (satisfies all constraints) then return current var randomly chosen conflicted variable val value that minimizes Conflicts(var,val,current,csp) current current  {var=val} return failure (or best assignment found)

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