  In this report, we inspect the application of an evolutionary approach to the
game of Rack'O, which is a card game revolving around the notion of decision
making. We first apply the evolutionary technique for obtaining a set of rules
over many generations and then compare them with a script written by a human
player. A high-level domain-specific language is used that deter-mines which
the sets of rules are synthesized. We report the results by providing a
comprehensive analysis of the set of rules and their implications.
