The way I see it, a symbolic logic system is not an integral part to an AGI, but rather a tool that it can use the same way humans use tools. Tools can be usef

The way I see it, a symbolic logic system is not an integral part to an AGI, but rather a tool that it can use the same way humans use tools. Tools can be useful for many things, but tend to be inflexible compared to neural nets. The way I see it, the main benefit of such tools come when the part covered by the tool is very repetitive and well defined. In such cases, algorithmic solutions may offer better precision and lower power consumption than neural nets. Anyway, once most of these algorithms are actually WRITTEN by AGI's, the difference may cease to matter.