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5 CONSTRAINT SATISFACTION PROBLEMS

5 CONSTRAINTSATISFACTIONPROBLEMSI nwhich weseehowtreatingstatesasmore thanjustlittleblack boxesleadsto theinventionofa range ofpowerfulnew search methodsanda deeperunderstandingofproblemstructure and4 exploredtheideathatproblemscanbesolvedby searchinginaspaceofstates. Thesestatescanbeevaluatedbydomain-specif icheuristicsandtestedtoseewhetherthey ,however,eachstateis is representedbyanarbi-BLACKBOX trarydatastructurethatcanbeaccessedonlyb ytheproblem-specificroutines thesuccessorfunction,heuristicfunction, , whosestatesandgoaltestconformtoa standard,structured,andverysimplereprese ntation( ).

}Successor function: a value can be assigned to any unassigned variable, provided that it does not conflict with previously assigned variables.}Goal test: the current assignment is complete.}Path cost: a constant cost (e.g., 1) for every step. Every solution must be a complete assignment and therefore appears at depth n if there are n variables.

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INTRODUCTION

aima.cs.berkeley.edu

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20 STATISTICAL LEARNING METHODS - Artificial intelligence

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