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Levels of Intelligence
The structure of our brain changes at the cellular level in response to what we sense/learn at the multicellular level. For example, navigation-related structural change in the hippocampi of London taxi drivers accommodate the huge amount of navigating experience their job requires [43]. Also, neurons form new connections then store new memories by making permanent changes to these synaptic connections. We are unaware of these ongoing structural changes, but at the cellular level our brain is constantly changing in response to what we sense and learn.
Likewise, the structure of our cells also change at their molecular (genetics based) level in response to what they sense and learn. For example, stem cells can differentiate into one of many possible types of cells depending on what their job requires. Stem cells would also not be aware of these ongoing changes, but at the molecular level our cells are changing in response to what they sense/learn. Since cells replicate by division of their genome, these changes are inherited in the next generation of cells that divide from them.
In our development from a single cell (zygote) what is expressed at its molecular level produces cell growth and division. Likewise, what is expressed at the cellular level by the dividing colony of cells causes our growth and in the case of identical twins there is division of the cell colony. We now have the three primary levels of biological intelligence, a one level to the next causation where one is the “intelligent cause” of the other.
(1) Molecular Intelligence
(2) Cellular Intelligence
(3) Multicellular Intelligence
These three biological levels may be further subdivided according to whether it is a single molecule system that qualifies as rudimentary intelligence, for example self-replicating RNA would here be classifiable as Unimolecular Intelligence (a most simple form of Molecular Intelligence). Although not well understood and too early to fully qualify as intelligence, what is currently known about animal cell centrosomes are meeting requirements as a self-contained molecular intelligence system here called Centrosomal Intelligence, which is in addition to the cells Molecular Intelligence which together produces (animal cell) Cellular Intelligence.
For scientific experiments to model intelligent systems we must also include computer algorithm produced Algorithmic Intelligence. Where electronic components are connected to form the circuit of an intelligence system we have Electronic Intelligence useful for robotics.
Introduction
The theory of intelligent design holds that certain features of the universe and of living things are best explained by an intelligent cause whereby an intelligent entity is emergent from another intelligent entity in multiple levels of unique organization who sum to produce an emergent self-similar biological entity behaviorally in their own image, likeness. Nonrandom behavior of matter is here the “behavioral cause” of molecular intelligence, which is in turn the “intelligent cause” of cellular intelligence, which is in turn the intelligent cause of multicellular intelligence, which is in turn the intelligent cause of collective intelligence. In this way human male and female gender itself has an “intelligent cause” from a simpler cellular male and female gender, which has an intelligent cause from an even simpler two-allele molecular replication process which has a “behavioral cause” from matter which we are ultimately an expression of. In engineered designs, intelligent cause is from the intelligent entities that produce them.
The biological operational definition of intelligence (where at all levels intelligence comes from) is an autonomous sensory-feedback (confidence) controlled sensory-addressed memory system that through trial-and-error learns new successful actions to be taken in response to environmental conditions. At the cellular level our cells can sense what is needed thus differentiated into muscle cells and neurons to control them which behaviorally combined to produce a moving organism with muscle organs made of many cells pulling and brain organ that intelligently coordinates their motion. At all levels entities who do not serve a useful purpose in their society do poorly among those who can connect together a certain way so that the needs of each are being met. Whether created from molecules or cells or organs or organisms, intelligence must on their own find a place where they serve a useful purpose in their collective society.
Computer models show this common to all levels intelligence mechanism reduces to four necessary requirements. (1) Something for intelligence to control (motors, muscles, metabolic cycle). (2) Sensory addressable memory to store successful motor actions to be taken in response to sensed environmental conditions. (3) Sensory feedback to gauge failure or success in actions taken here called “confidence”. (4) A guess mechanism to try a new action. Good guesses as in crossover exchange safely controls design variation to produce offspring each different from each other (not clones) and gene level recombination of small conserved domains which are the nuts and bolts and motor parts of complex molecular machinery that all together keep living things alive.
From the perspective of intelligence, its genome is not a sewing "pattern" or “blueprint” showing each part and where each new cell that divides out must go and what to differentiate into each gene is learned response data for the next generation to try in response to sensed environmental conditions. In the social amoeba (slime molds) along with a self-replicating centrosomal control system for migration behavior their genome encodes for extremely adaptable cells which require no pattern to achieve their final form. Depending on conditions, in the process of each meeting their needs these social cells intuitively work together to form streaming or solid multicellular colonies of various designs. In human learning, newly produced social stem cells of the brain form new synaptic encoded neural networks. In each human social cell its epigenetically controlled genome greatly changes its gene expression in response to learning to serve a useful purpose, in their highly specialized cellular society. Where things go wrong (such as in primitive cancer-cell behavior) some cells can refuse to play by the same rules as the other cells, then they all suffer.
Successful designs remain in the collective molecular (RNA/DNA) memory of their population to keep going the billions year old cycle of life learning process which replicates previous contents of memory along with good (better than random) guesses what may work a little better for us. Resulting cladogram shows a progression of adapting designs evidenced by the fossil record where never once was there not a predecessor of similar design present in memory for the descendant design to have come from.
In our lineage is a chromosomal Adam and Eve from a population of beings who had at least a single copy/allele of the chromosome fusion unique to the human genome design. In such speciation events there is a first couple, which this theory will explain.
Each of us and all living things are an intelligent design from multiple levels of intelligence where at our molecular level has a memory with recall as old as life itself, powered by behavioral cause that is at least as old as the universe(s) we are intelligently conscious of. This causation is explained through physics, chemistry, biology, and other sciences that search for a way to explain how living things and our universe were created. This theory of intelligent design connects current knowledge to become a fully deterministic explanation for the origin of all intelligent/living things, where everything happens for a reason, and we were all meant to be…




Gary S. Gaulin wrote:I very much understand that some find religious significance in this theory. But if that were grounds for dismissing a scientific theory then Modern Evolutionary Synthesis would likewise have to be dismissed because of Theistic Evolutionists, Freethinkers, Agnostics and Atheists who use that theory as the core of their religious belief system.

Gary S. Gaulin wrote:This theory of intelligent design connects current knowledge to become a fully deterministic explanation for the origin of all intelligent/living things, where everything happens for a reason, and we were all meant to be…





Fenrir wrote:Define "intelligence".

Gary S. Gaulin wrote:Fenrir wrote:Define "intelligence".
Already did:
The biological operational definition of intelligence (where at all levels intelligence comes from) is an autonomous sensory-feedback (confidence) controlled sensory-addressed memory system that through trial-and-error learns new successful actions to be taken in response to environmental conditions. At the cellular level our cells can sense what is needed thus differentiated into muscle cells and neurons to control them which behaviorally combined to produce a moving organism with muscle organs made of many cells pulling and brain organ that intelligently coordinates their motion. At all levels entities who do not serve a useful purpose in their society do poorly among those who can connect together a certain way so that the needs of each are being met. Whether created from molecules or cells or organs or organisms, intelligence must on their own find a place where they serve a useful purpose in their collective society.
Computer models show this common to all levels intelligence mechanism reduces to four necessary requirements. (1) Something for intelligence to control (motors, muscles, metabolic cycle). (2) Sensory addressable memory to store successful motor actions to be taken in response to sensed environmental conditions. (3) Sensory feedback to gauge failure or success in actions taken here called “confidence”. (4) A guess mechanism to try a new action. Good guesses as in crossover exchange safely controls design variation to produce offspring each different from each other (not clones) and gene level recombination of small conserved domains which are the nuts and bolts and motor parts of complex molecular machinery that all together keep living things alive.
theropod wrote:
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Every time anyone asks for a simple explanation Gary posts a wall of repeating text.
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Rumraket wrote:You are changing what is understood by "intelligence" and simply inserting any natural process capable of producing a build-up of complexity, or which functions by replication with inheritance, into the definition. Under that paradigm, simple crystal-growth would qualify as "intelligent design". It's a ludicrous way of trying to smuggle "intelligent design" into science.

Previously debunked apologist wrote:The theory of intelligent design holds that certain features of the universe and of living things are best explained by an intelligent cause
John P. M. wrote:I must admit I mostly skimmed through it, but am I right in thinking that you 1) are not proposing an external Designer, as Intelligent Design proponents usually do,
John P. M. wrote:and 2) that what you are doing is replacing natural selection with the idea of "innate intelligence" from the molecular level and up?
John P. M. wrote:Maybe I misunderstood; I'll read more carefully later.

"The theory of intelligent design holds that certain features of the universe and of living things are best explained by an intelligent cause, not an undirected process such as natural selection."
Rome Existed wrote:It's not a theory. A hypothesis becomes a theory when scientists (not one or two) in that field accept it as having enough evidence to be superior to all other hypothesises regarding the same phenomenon.

Gary S. Gaulin wrote: It has also led to many failed predictions such as "Lucy" having a half-ape foot design (recently evidence shows fully human)
Gary S. Gaulin wrote:that there was no defining speciation event in our lineage (now known as "chromosome speciation"),
Gary S. Gaulin wrote:and instead of first having the mechanism for such things as the Cambrian Explosion (reason for exponential biodiversity curve also explained in theory) phrases like "punctuated equilibrium" are created to cover failed predictions without ever explaining anything.
Gary S. Gaulin wrote:Natural selection based theory is much more limited than we were led to believe.
Gary S. Gaulin wrote:This theory does not need it because it focuses on how living things together change their environment to suit themselves, instead of the other way around and the environment changes all of the living things by blasting them with volcanoes, asteroids, floods, or stranding them on islands where molecular mechanisms will in time produce a new species even where natural selection did not exist (which can be computer modeled to verify).
Gary S. Gaulin wrote:The phrase natural selection is also a generalization that includes intelligence that makes all selections for itself, from what to eat to who to choose as mate. Once all of these factors are explained the phrase "natural selection" becomes too ambiguous to be scientifically useful to a theory that has to be more specific than that.
Gary S. Gaulin wrote:the Modern Evolutionary Synthesis is much more limited than you think and is prone to false predictions.
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