I think AGI is more than possible with a heuristic based logic system, but it's not going to be any easier than a NN based approach, and probably can't be wholly separate from each other. It's infeasible to use a heuristic system for representing new concepts. Where heuristics provide a low friction interface for defining the rules for learning, NNs provide a way for representing the content of information. Another way to put it is that where a term logic will have an easier time reasoning about why a [sphere] is a [sphere], a NN will have an easier time representing what a [sphere] actually is.
NARS is a great example of how much you need to butcher a rule based system to get reasoning and representation under the same roof. On Fri, Jul 15, 2022, 3:15 PM stefan.reich.maker.of.eye via AGI < [email protected]> wrote: > On Friday, July 15, 2022, at 7:01 PM, immortal.discoveries wrote: > > Just giving solid advice and a good example why... > > Nah, you are toeing the neural network party line. There is more inside > the class of general learning algorithms than just that one... thing. MUCH > more! > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + > delivery options <https://agi.topicbox.com/groups/agi/subscription> > Permalink > <https://agi.topicbox.com/groups/agi/T9019734479a51fd8-M79f6d7e6a3117d1668a2ebc6> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T9019734479a51fd8-M1bdc36dff082744a64d4da4f Delivery options: https://agi.topicbox.com/groups/agi/subscription
