The rise of machine consciousness: studying consciousness with computational models.
Neural networks : the official journal of the International Neural Network Society August 1, 2013 James A Reggia 186 citations
Computational models of consciousness, known as artificial consciousness, have been developed over the last two decades with two main goals: to better understand human and animal consciousness and to create machines with conscious awareness. This review categorizes models into five types based on their central focus: global workspace, information integration, internal self-model, higher-level representations, or attention mechanisms. The review concludes that computational modeling is now an accepted scientific method for studying consciousness, and existing models have successfully simulated many neurobiological and cognitive correlates of conscious processing. However, no current approach has convincingly demonstrated phenomenal machine consciousness or provided clear evidence that it will eventually be possible.