The traditional algorithm of rule learning is difficult to solve the problem of top-level decision-making. In addition, as a new type of combat, aviation swarm does not have sufficient labeled data and battle cases for reference at this stage, thus the condition for ‘learn to fight from the war’ is temporarily immature. To solve the above problems, this paper proposes a construction method of rule base based on the scenario analysis from the perspective of war design. Firstly, based on the external triggering conditions and internal driving mechanism of system evolution, an event-triggered and rule-driven autonomous decision-making mechanism is proposed. Secondly, the decision rules of aviation swarm are divided into event, condition and action and are expressed by the Event-Condition-Action (ECA) description mechanism. Finally, by adopting the idea of scenario analysis theory, the logic and state transition of the operational process are analyzed in detail, and the associations among objects, events, and behaviors are finally realized. Moreover, the rules extraction of autonomous reconnaissance and strike mission using UAV swarm is carried out to verify the proposed theory.
HU Liping
,
LIANG Xiaolong
,
HE Lyulong
,
ZHANG Jiaqiong
,
REN Baoxiang
,
QI Duo
. Construction method of aviation swarm decision rule base based on scenario analysis[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020
, 41(S1)
: 723737
-723737
.
DOI: 10.7527/S1000-6893.2019.23737
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