This paper describes a replication model of human operators’ situation assessment and decision making in a simulated area reconnaissance wargame. A variety of factors that affect human operators’ threat assessment and decision making were identified and categorized based on interviews with Subject Matter Experts and a review of defense doctrine on area reconnaissance. By combining these factors with the capabilities of existing synthetic environments, a schema consisting of a set of Bayesian networks and associated joint probability distributions for human operators’ situation assessment and decision making was developed. To verify and validate the proposed schema, a software system was designed and implemented, and then used for analyzing the consistency between the replicator’s decisions and human players’ decisions. Results showed that the proposed approach replicated human operators’ situation assessment and movement-based decision making in the wargame with high consistency.