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Published on: June 7, 2024
Phenomenology and digital neural architectures
Igor Aleksander1, Helen Morton
1Department of Electrical Engineering, Imperial College, London SW7 2BT, UK. i.aleksander@imperial.ac.uk
Summary
Axiomatic Consciousness Theory (ACT) models conscious mechanisms to create a neuroarchitecture for visual experiences. This advances AI by addressing phenomenal intentionality, crucial for understanding inner mental states.
Area of Science:
- Neuroscience
- Cognitive Science
- Artificial Intelligence
Background:
- Current AI lacks phenomenal intentionality, a key aspect of consciousness.
- Visual phenomenology is central to understanding subjective experience.
- Axiomatic Consciousness Theory (ACT) provides a framework for conscious mechanisms.
Purpose of the Study:
- To develop a neuroarchitectural model of visual phenomenology using ACT.
- To extend neural system concepts toward phenomenal intentionality.
- To address critiques of AI regarding consciousness.
Main Methods:
- Utilized Axiomatic Consciousness Theory (ACT) for modeling.
- Developed a neuroarchitectural model focused on visual processing.
- Analyzed the model at four interacting levels of description.
Main Results:
- Proposed a neuroarchitecture for visual phenomenology.
- Extended neural systems concepts to include phenomenal intentionality.
- Demonstrated a framework for addressing AI consciousness limitations.
Conclusions:
- The developed model offers a pathway to imbue AI with phenomenal intentionality.
- Visual phenomenology serves as a key domain for understanding consciousness in AI.
- ACT provides a robust foundation for neuroarchitectural models of consciousness.
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