The application provides a mimic decision method, device, equipment and storage medium, which issues a request to each online execution body in a heterogeneous execution body
pool, collects and normalizes response data to generate an initial normalized
data set, inputs a multi-round progressive
decision process, and sequentially executes a judgment strategy of relative credibility, absolute credibility and global forced reset. If the output results of each online execution body are inconsistent, the abnormal execution body is replaced, the normalized data is re-collected and input into the process cycle iteration after replacement, and the output of each execution body converges until the output of each execution body converges and the decision result is output. The application provides a step-by-step error correction path through the heterogeneous strategy of rounds, isolates abnormal nodes by inconsistent triggering replacement and re-sampling iteration to
block error accumulation. A convergence
closed loop is constructed to provide an explicit process exit condition, overcome the majority misjudgment defect of single-round static voting, avoid
decision process deadlock, and realize accurate convergence and business continuous output of the decision result under complex interference.