So if basic rules can be formulated, we don't need to have AGI try and "intuit" them? To me, is seems like this is sentience, which is surely a driving force in developing a viable AGI?
On Monday, May 2, 2022 at 10:58:52 AM UTC-7 [email protected] wrote: > Hi! > > Hm it almost seems like to "grow a grid", and then let each grid cell > (cell nuclei in this case) evaluate which neighbour has the closest path to > the food, iteratively (which leads to a complete path from the origin to > the target). > Not very sophisticated from an AI perspective, I think this could easily > be formalized and simulated. > > It reminds me of Swarm Intelligence which was hyped for some time, until > it became clear that flock behavior follows very basic rules which can > also, easily be formalized and simulated. > AGI is truly a different beast! > > Best regards, > Patrick > > > On Saturday, April 30, 2022 at 3:34:15 PM UTC+2 [email protected] wrote: > >> Hey Linas, maybe you already know about "intelligent" slime molds? My mum >> sent me this video: >> https://www.pbs.org/video/secret-mind-of-slime-oa3w89/ >> Using stop frame photography it documents slime mold solving mazes, >> transport path optimization and learning. All this in a single cell, albeit >> one with multiple nuclei. >> >> It reminds me of an animation of a graph traversal algorithm...This >> protoplasm is computing a traversal through 2D like one of those red/black >> tree searches. Seems like its distributed/parallel processing .... >> >> Stunning I'd say. I think this kind of intelligence / sentience holds up >> a mirror on the GAI approach? >> > -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/9a3c2d14-504a-44ee-875e-9326cf4bc7c0n%40googlegroups.com.
