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| | Artificial Consciousness |
 | | The goal of this whitepaper is to propose slightly revised approach to neural network computing, modelling and learning procedures, in order to break the limit of traditional sensory processing and create networks that are able to go beyond simple, trained action-reaction behavioral patterns, or highly specialized functional applications. |
 | | The purpose of this paper is to provide a potential contribution to modelling higher levels of consciousness (whatever that is) and creating more, effective and flexible networks. |
 | | In this section, I focus on functional limitations of existing networks and explain why, in my belief, they are responsible for inability to go beyond sensory "consciousness", which rather arbitrarily seems to be a prerequisite for many artificial life applications. |
| lcamtuf.coredump.cx /NNnight (4498 words) |
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