> Tying to build an AGI using symbolism, spoken language or C++ code for example, IMO is like trying to build a car from cars. (I seem to have a car theme going).
I beg to differ. I aim to create the "75% AGI" (everyday thought, excluding just the highest levels of creativity) using symbolism. On Wed, 26 Jun 2019 at 17:05, korrelan <[email protected]> wrote: > *Abstraction* *in its main sense is a conceptual process where general* > *rules* <https://en.wikipedia.org/wiki/Rule_of_inference> *and* *concepts* > <https://en.wikipedia.org/wiki/Concept> *are derived from the usage and > classification of specific examples, literal ("real" or "**concrete* > <https://en.wikipedia.org/wiki/Abstract_and_concrete>*") signifiers,* *first > principles* <https://en.wikipedia.org/wiki/First_principle>*, or other > methods.* > > *"An abstraction" is the outcome of this process—a concept that acts as a > common noun for all subordinate concepts, and connects any related concepts > as a* *group**,* *field**, or* *category**.**[1]* > <https://en.wikipedia.org/wiki/Abstraction#cite_note-Langer-1> > > To consider a modern PC at its lowest level of abstraction it would be the > binary/ logic gates, if not the movement of electrons around the circuits. > As you abstract/ remove each layer of complexity, high level language, > machine code, registers; etc the underlying binary gate schema is always > evident in the design and operation. > > We can trace this backwards because we designed the system and have > insight, but this cannot be applied to the human brain, it would be akin to > understanding the innards of a combustion engine by just listening to the > sounds it makes. > > Human derived logic, calculus, language, set theory, etc can be considered > concepts equivalent to high level programming languages; you need to > consider the low level/ machine code and the mechanisms that comprise these > concepts. How does a biological neuron have to function in order to > recognise a face, learn physics and build a Moon Lander? > > Tying to build an AGI using symbolism, spoken language or C++ code for > example, IMO is like trying to build a car from cars. (I seem to have a car > theme going). > > I haven’t written any papers, just the KorrTecx site ATM. > > There may be many ways to build an AGI, and even more efficient schemas > (bird, plane). Everyone has a theory, I figure the best way to prove my > point is to build it and let it explain it’s self. > > :) > > *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/Tf97c751029c2e4db-Mc93db46e109bf19faeab4b67> > > -- Stefan Reich BotCompany.de // Java-based operating systems ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tf97c751029c2e4db-Mba4fcf40a7e1e365a52376a9 Delivery options: https://agi.topicbox.com/groups/agi/subscription
