The effects of implementing phenomenology in a deep neural network.
Joshua Bensemann, Michael Witbrock
Heliyon June 8, 2021 DOI: 10.1016/j.heliyon.2021.e07246 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Topics | Philosophy of mind |
| Keywords | Neural network Hebbian learning Synthetic phenomenology |
| Key points | Reports that adding self-generated sound- or image-based representations of multi-modal inputs to deep neural networks sometimes improved post-training accuracy and reduced the training needed to reach peak accuracy, suggesting that modality knowledge can aid learning in some cases. |
Abstract
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 these functions to determine whether knowledge of the input's modality aids the networks' learning. In some cases, these representations caused the model to be more accurate after training and for less training to be required for the model to reach its highest accuracy scores.
Comparable studies
Other theoretical and historical papers on philosophy of mind, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| Psychosis as a state of aberrant salience: a framework linking biology, phenomenology, and pharmacology in schizophrenia. | 2003 | Theoretical or philosophical paper | |
| From dopamine to salience to psychosis--linking biology, pharmacology and phenomenology of psychosis. | 2005 | Theoretical or philosophical paper | |
| How do the brain's time and space mediate consciousness and its different dimensions? Temporo-spatial theory of consciousness (TTC). | 2017 | Theoretical or philosophical paper | |
| The phenomenology of deep brain stimulation-induced changes in OCD: an enactive affordance-based model. | 2013 | Theoretical or philosophical paper | |
| Looking for the Self: Phenomenology, Neurophysiology and Philosophical Significance of Drug-induced Ego Dissolution | 2017 | Theoretical or philosophical paper |
Citations in the library
Cited by 2
Cites 13
- An information integration theory of consciousness BMC Neuroscience November 2, 2004
- Qualia: The Geometry of Integrated Information PLoS Computational Biology August 13, 2009
- The rise of machine consciousness: studying consciousness with computational models. Neural Networks August 1, 2013
- SYNTHETIC PHENOMENOLOGY International Journal of Machine Consciousness May 19, 2009
- Neural network models for DMT-induced visual hallucinations Neuroscience of Consciousness 2020
and 8 more in the library