I suggest you change the name of it to "The Tiny Brain 3" :P
I've thought it through and maybe movement stuff shouldn't be this complex. I'll post the one I've been making, but consider that a techdemo, as it has too many pathways (and a way too high fail rate) for 4 detectors. I think I'll start adding food stuff and more cells to it.
@MEOWS "Layered RAM" with regards to 60 Hz FILT electronics is for the most part impossible as when you layer FILT, BRAY and DTEC will only interact with the "topmost" FILT in the stack having the lowest particle ID (display order is opposite to that of normal elements). Otherwise, I've seen someone use 60 Hz PSTN to pull a very large picture out of a superstacked line of elements within E-Hole. Production of a single use high capacity layered "USB" may be possible.
Wait. Don't tell me Karakanlud bumps into walls and this AI does not.
I approximate this to be the complexity of Karakanluds brain. Am I right?
its not very tiny if it takes up the whole screen, but good job
Started the new one, but I have size issues after the 178th cell :/
Yay, I made a decision neuron without wifi. This will make it easier to implement an upper regulation.
I'm trying to mimic the behavior of simple life forms to add pathways to it right now. I want to believe it can be improved to the level of some simple vertebrate, but the possibilities in tpt are very limited, especially because of the small space.
Probably not. Ram capacity is not the worst part of it, it would require very complex electronics and very large space to make it store, process and compherend much information, as this current memory unit is a VERY approximative model. Also, a true learning brain would make new connections in response to the stimuli, while this one's structure is arbitrary, which means you have to add every possible pathway, and only the assignation of input to output will depend on the brain itself.