Our research demonstrates the utility of incorporating pattern recognition with machine learning in adversarial domains. We use induction to recognize cognitive behavioral patterns of an adversary and use those patterns for tactical planning in the adversarial domain. Results of our methodology for the application domain of chess are presented.