CascadiaPrime Cognition

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CascadiaPrime Cognition - Artificial General Intelligence

Artificial General Intelligence (AGI) is the creation of a cognitive affordance with broad capabilities at the human level and ultimately beyond. AGI has been distinguished from what in the past has been termed by some as "narrow artificial intelligence (ai) or weak ai that can solve discrete problems but is unable to solve problems in another domain.

Narrow or weak ai has been the "low hanging fruit". Most public and private investment has gone into narrow ai and relatively little into AGI. As the scope and scale of computing, data and human resources have increased and as new insights have been won the substrate for AGI is being laid. It remains an extremely ambitious goal that some doubt is either attainable or desirable. Others hold that it holds great promise for mankind and is attainable some time in the decades ahead.

Artificial General Intelligence involves longer term, very profound questions as to both how it can be created and its implications for mankind. Public understanding and discussion of the issues involved is needed. A number of organizations have been created to build public awareness and to develop both understanding and public policy suggestions.

  Artificial General Intelligence Wikipedia Overview
  MIT AGI: Cognitive Architecture an approach to AGI (Nate Derbinsky) (March 20, 2018)
  The primate brain is 'pre-adapted' to face potentially any situation (June 10, 2016)
  Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex
  How to avoid ethically relevant Machine Consciousness

  GDM & FHI: Safely Interruptible Agents (June 2016)

  Demis Hassabis, CEO, DeepMind Technologies (Google) (May 2015)

  Nature: Human-level control through deep reinforcement learning (February 2015)

  Demis Hassabis on Computational Neuroscience (February 2012)

  A critique: of DeepMind's Nature Paper & Earlier Related Work by Jürgen Schmidhuber (February 2015)

  Ray Kurzweil Google I/O 2014 - Biologically inspired models of intelligence - NB: 31 min

  Oxford - Philosophy & Theory of Artificial Intelligence - Keynote Talks

  Consciousness and the machine: Paul Verschure - the H4W problem

  Ben Goertzel - "Beyond Artificiality, Generality and Intelligence" - November 2013

  My You Tube Channel - AGI Presentations

  András Kornai - Bounding the Impact of AGI

  Ben Goertzel Open Cog AGI Project at The Fourth Conference on Artificial General Intelligence, August 3-6, 2011

  AGI Roadmap Conference 2009

  Hugo De Guris - Interview AGI - Part 1 of 6 2011

  Richard Sutton - University of Alberta - AGI 10 Keynote Speaker

  Richard Sutton - Reinforcement Learning and Artificial Intelligence

  Reinforcement Learning and Artificial Intelligence - the players worldwide