The effects of implementing phenomenology in a deep neural network.
Heliyon June 8, 2021 Joshua Bensemann, Michael Witbrock
There have been several recent attempts at using Artificial Intelligence systems to model aspects of consciousness (Gamez, 2008; Reggia, 2013). Deep Neural Networks have been given additional functionality in the present attempt, allowing them to emulate phenological aspects of consciousness by self-generating information representing multi-modal inputs as either sounds or images. We added...
DOI: 10.1016/j.heliyon.2021.e07246 (opens in new tab)
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Neural network
Hebbian learning
Synthetic phenomenology