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We present an enhancement of exp(ASP), a system that generates explanationgraphs for a literal l - an atom a or its default negation ~a - given an answerset A of a normal logic program P, which explain why l is true (or false) givenA and P. The new system, exp(ASPc), differs from exp(ASP) in that it supportschoice rules and utilizes constraint rules to provide explanation graphs thatinclude information about choices and constraints.

exp(ASPc) : Explaining ASP Programs with Choice Atoms and Constraint Rules