Intelligence, Agents, and #DeepLearning

Part of the trouble with achieving AI is defining WhatTF “Intelligence” even is in the first place. Or, to put it differently, what it means to be intelligent.
And yes, that was a little rhetorical trick there, but one done on purpose — I’m switching the focus from the definition of intelligence to the definition of things that are intelligent, aka “agents” or “beings”.
And, that important, because, in the end, we deduce intelligence by actions taken, by asking questions like
  • • Was that the correct choice? And,
  • • Did the choice help in the survival of the agent?
The last part above is critical, because “intelligent agents act to survive … they act to avoid dispersion by the forces of their environment that either, by way of natural laws, point towards increasing entropy, or even actively conspire against them in a competition for scarce resources (e.g. predators) … [The] reason for the existence of intelligence is the need of complex agents to survive in a hostile world, i.e. to maintain their form against the odds … [Intelligent] action is ultimately in service of survival of the agent.” (°)
Yes, shades of “Survival of the Fittest” 🙌. So, when you see AlphaZeroChess think of this as the apex predator — well on its way to taking over.
So yes, it may not be “Artificial General Intelligence” but it’s a start…
(°) Christian Kaiser here — https://goo.gl/hS9aQH

Comments

Popular posts from this blog

Cannonball Tree!

Erlang, Binaries, and Garbage Collection (Sigh)