"Machine" consciousness and "artificial" thought: an operational architectonics model guided approach.
Andrew A Fingelkurts, Alexander A Fingelkurts, Carlos F H Neves
Brain Research January 5, 2012 DOI: 10.1016/j.brainres.2010.11.079 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Citations | 35 |
| Key points | Proposes that engineering machine consciousness requires duplicating the hierarchical operational architectonics of brain electromagnetic fields rather than using low-level neurophysiology mimicking or exploratory programming. |
Abstract
Instead of using low-level neurophysiology mimicking and exploratory programming methods commonly used in the machine consciousness field, the hierarchical operational architectonics (OA) framework of brain and mind functioning proposes an alternative conceptual-theoretical framework as a new direction in the area of model-driven machine (robot) consciousness engineering. The unified brain-mind theoretical OA model explicitly captures (though in an informal way) the basic essence of brain functional architecture, which indeed constitutes a theory of consciousness. The OA describes the neurophysiological basis of the phenomenal level of brain organization. In this context the problem of producing man-made "machine" consciousness and "artificial" thought is a matter of duplicating all levels of the operational architectonics hierarchy (with its inherent rules and mechanisms) found in the brain electromagnetic field. We hope that the conceptual-theoretical framework described in this paper will stimulate the interest of mathematicians and/or computer scientists to abstract and formalize principles of hierarchy of brain operations which are the building blocks for phenomenal consciousness and thought.