CascadiaPrime Cognition

 Home    About    Blog    Future of Life Institute    Oxford FHI    Cambridge Center for Existential Risk   Machine Intelligence Research Institute     US Brain Project    EU Brain Project     China Brain Project  

 Blue Brain Project    EU Cognition Network   AAAI    CAIAC     Allen Institute for AI     AI for the Brain     AI 100     Center for Brains, Minds & Machines    Lifeboat     Long Now     PMD     AI International  

 
 


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
  
  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

  
  OpenCog.org

  
  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

  
Top