Analysis of OODA Loop based on Adversarial for Complex Game Environments
This addresses strategy optimization in complex game environments, particularly for unmanned warfare simulations, but appears incremental as it applies existing OODA theory to a specific domain.
The paper tackles imperfect confrontation strategies in incomplete information dynamic countermeasure modeling for intelligent games by proposing a hierarchical analysis game strategy based on OODA loop theory, validated through NetLogo simulations of tank confrontations where the system adjusts judgment and decision time coefficients based on cycle results.
To address the problem of imperfect confrontation strategy caused by the lack of information of game environment in the simulation of non-complete information dynamic countermeasure modeling for intelligent game, the hierarchical analysis game strategy of confrontation model based on OODA ring (Observation, Orientation, Decision, Action) theory is proposed. At the same time, taking into account the trend of unmanned future warfare, NetLogo software simulation is used to construct a dynamic derivation of the confrontation between two tanks. In the validation process, the OODA loop theory is used to describe the operation process of the complex system between red and blue sides, and the four-step cycle of observation, judgment, decision and execution is carried out according to the number of armor of both sides, and then the OODA loop system adjusts the judgment and decision time coefficients for the next confrontation cycle according to the results of the first cycle. Compared with traditional simulation methods that consider objective factors such as loss rate and support rate, the OODA-loop-based hierarchical game analysis can analyze the confrontation situation more comprehensively.