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"Machine" consciousness and "artificial" thought: an operational architectonics model guided approach
Andrew A Fingelkurts1, Alexander A Fingelkurts, Carlos F H Neves
1BM-Science, Brain and Mind Technologies Research Centre, Espoo, Finland. andrew.fingelkurts@bm-science.com
Brain Research
|December 7, 2010
Summary
This study introduces the hierarchical operational architectonics (OA) framework as a novel approach to engineering machine consciousness. By modeling brain functional architecture, OA offers a new direction for artificial thought and robot consciousness.
Area of Science:
- Neuroscience
- Artificial Intelligence
- Cognitive Science
Background:
- Current machine consciousness research often relies on low-level neurophysiology mimicking and exploratory programming.
- A gap exists in conceptual-theoretical frameworks for model-driven machine consciousness engineering.
Purpose of the Study:
- To propose the hierarchical operational architectonics (OA) framework as an alternative direction for machine consciousness engineering.
- To present a unified brain-mind theoretical OA model that captures the essence of brain functional architecture.
Main Methods:
- The study outlines the hierarchical operational architectonics (OA) framework.
- It describes the neurophysiological basis of the phenomenal level of brain organization within the OA model.
Main Results:
- The OA framework offers a conceptual-theoretical alternative to existing methods in machine consciousness.
- It posits that duplicating the OA hierarchy is key to achieving artificial consciousness and thought.
Conclusions:
- The OA framework provides a new theoretical direction for model-driven machine consciousness engineering.
- Further formalization by mathematicians and computer scientists is encouraged to develop artificial consciousness and thought.
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