There is a recent article, How could we distinguish conscious AI from its zombie equivalent?, concluding that, “Although intelligence offers a rich menu of ramified conscious states for conscious organisms, it is a mistake to assume that intelligence — at least in advanced forms — is either necessary or sufficient for consciousness. If we persist in assuming that consciousness is intrinsically tied to intelligence, we may be too eager to attribute consciousness to artificial systems that appear to be intelligent, and too quick to deny it to other systems — such as other animals — that fail to match up to our questionable human standards of cognitive competence.”
The problem is not whether consciousness is misapplied or that intelligence is anthropomorphized to machines, but that wherever consciousness and intelligence are produced for humans, are the mechanisms different?
However intelligence and consciousness are described in human language, what they are to the mind, isn’t different. How does the mind output both? In the ways the mind does, can they be represented elsewhere in animals, plants and machines?
Conceptually, the human mind only produces graduated states. The labels of the observations or descriptions of mind that include feelings, emotions, consciousness, intelligence, memory, perceptions, sensations, regulations, reactions, experiences and so forth, are states to extents, in the mind. The experience to the individual is different, but the mind has a uniform processing.
The human mind is the collection of all the chemical and electrical impulses of nerve cells. Or, impulses as a group are the mind. The components of mind are quantities and properties. Quantities often relay to acquire properties, to degrees across mind locations, to give off states. Roughly, electrical impulses as a group are quantities, while chemical impulses as a group are properties.
The synapses of neurons, with one having thousands, are roughly property locations, bearing the features of properties. Quantities too have their features. Some of descriptions like predictive coding, processing and prediction error are from the feature of early-split or go-before of quantities.
All the states are the interactions of the components of mind, using their features. The states become what the individual knows or experiences. Whatever sentience is defined as is obtainable as a state in the mind, so is whatever intelligence is described as. There is no specific mechanism for sentience or intelligence.
The outcomes of intelligence to the individual can be replicated by machines. So are some of the outcomes of sentience. Several animals have some of the mechanisms similar to the human mind as well as outcomes. Plants also have mechanisms and outcomes that are similar to sentience and intelligence.
States in the mind are for knowing. Everything is known, even those that are not prioritized use the same processes in pre-prioritization, so knowing interactions go on. In a coma, under general anesthesia, or in deep sleep, the processes for knowing are there, just below certain thresholds.
Sentience is the rate of knowing. Intelligence is a division of it. Intelligence is harder as an output than sentience, since sentience is generally available, but intelligence requires much more interactions in the mind that may not be available in an instance, to include planning, analyzing, observing and so forth. Intelligence or the aspect of it to learn is sharper for babies, as their sensations are not as distributed as adults.
The recent LLMs seem to be strong in one aspect that is somewhat harder, by volume—for humans—intelligence. They do not have other divisions of sentience, but they have memory and where accurate, its contents [from human text data] result in some answers at expert level.
Biological organisms have limitations on how much can be expended or done, but with machines, without emotions or feelings, can be unleashed on objectives. The human mind does not separate intelligence from sentience. Distinctions of both exist mostly in descriptions.
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This Post is republished on Medium.
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Photo credit: iStock
