“Artifact Intelligence", The Real "AI"
Intelligence has been defined in many ways: the capacity for abstraction, logic, understanding, self-awareness, learning, emotional knowledge, reasoning.For all animals, "intelligence" is ascribed to the use of tools or to communicate in groups to establish communal behavior...ultimately to survive.But to ascribe intelligence to man-made devices (automotons) that are made from brick, mortar, metal or plastic is a challenge.The drive to survive and reproduce is lacking in such artifacts.We review various types of automotons including humanoid robots and discuss memory.The pioneering ideas of mathematical biologist Alfred Lotka bear consideration."A state of consciousness (i.e.neural memory) can be described either in terms of its "contents" or in terms of the disposition of the molecules etc of the brain, just as a magnetic field might be described either in terms of an intensity chart or the position of a number of magnets."We employ a psycho-chemical mechanism to describe the emotive neural memory code.The proposed tripartite mechanism and iconography involves the interactions of neural cells (neurons/astrocytes) with their surrounding extracellular matrix (nECM/PNN).Incoming perceptions are encoded into the nECM/PNN by neural cells ejecting trace metal cations and neurotransmittters (NTs).Consciousness and memory are linked in all sentient creatures, expressed as intelligence.In any case, the "intelligence" of a computer is far removed from that of any living being, both conceptually and mechanistically.The computer system is totally electrodynamic; but the neural system operates via a combination of electrodynamic and chemodynamic processes.Thus, a better description of computer-based process would be the term "Artifact Intelligence".This removes any ambiguity associated with the word "artificial" which implies mimicking a natural process or material, which the artifact clearly does not do.
Publication Details
- Journal
- Acta Scientific Neurology
- Published
- 2025-08-29
- DOI
- https://doi.org/10.31080/asne.2025.08.0857
- Primary Topic
- Computability, Logic, AI Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00