CPC G06F 16/27 (2019.01) [G06F 18/00 (2023.01); G06N 5/022 (2013.01); G06N 5/043 (2013.01); G06N 5/048 (2013.01); G06N 20/00 (2019.01)] | 18 Claims |
1. A method comprising:
receiving, at a first deep fusion reasoning engine (DFRE) agent in a network, first sensor data from a first set of one or more sensors in the network;
translating, by the first DFRE agent, the first sensor data into symbolic data;
applying, by the first DFRE agent and using a symbolic knowledge base maintained by the first DFRE agent, symbolic reasoning to the symbolic data to make an inference regarding the first sensor data;
updating, by the first DFRE agent and based on the inference regarding the first sensor data, the symbolic knowledge base;
computing, by the first DFRE agent, a length of a chain of reasoning associated with the inference;
determining, by the first DFRE agent and based on the computed length of the chain of reasoning associated with the inference that the inference should be propagated to one or more other DFRE agents; and
propagating, by the first DFRE agent, the inference to the one or more other DFRE agents in the network.
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