Multi-agent game playing method based on spiking neural network

A multi-agent game method based on a spiking neural network comprises the following steps: dividing a multi-agent area in an environment into a body and other agents, establishing input layers of the other agents except the body, and generating and exciting input layer neurons; establishing a rule layer corresponding to input layers of other agents, establishing an input layer of the ontology, and generating and exciting neurons of the input layer; establishing a rule layer corresponding to the ontology input layer, establishing a decision-making layer of the multi-agent game, and generating intra-layer synaptic connection of the decision-making layer according to the excitation condition of neurons in the decision-making layer; and establishing an output layer of the multi-agent game, establishing one-to-one connection between the neurons of the decision layer and the neurons of the output layer, and obtaining a final output signal by adjusting the connection weight of the decision layer and the output layer