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Recognition-primed decision model used in naval combat simulation

Motivated by the need for quantitative collaborative computer modeling and simulation of human decision processes in naval combat simulation, a computational fuzzy RPD model is developed to utilizes fuzzy sets, fuzzy rules, and fuzzy reasoning to represent, interpret, compute imprecise and subjective information, then the RPD model is embedded in a multi-agent system(MAS) architecture, in this MAS architecture, experiences are organized in a hierarchical structure, both the cue matching and the expectancy monitoring components of RPD are implemented as collaborative activities that involve agents reasoning about information that may be indirectly linked to cues and expectancy through inference rules. The experiment demonstrates that collaborative RPD agents can effectively response to complex situations and cooperate with teammates.