Theory Of Intelligent Design

This is the only known Theory of Intelligent Design that provides a scientifically testable model to (as a "theory" requires) explain how "intelligent cause" works. I do NOT represent the Discovery Institute or their associates.

By Gary S. Gaulin, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019

Biological Intelligent Causation Events

Biological Intelligent Causation Events
Simplified Cognitive System model is based upon David L. Heiserman "How to Build Your Own Self-Programming Robot" 1979, and Arnold Trehub "The Cognitive Brain", MIT Press 1991, Chapter 9, Page 158, Fig 9.3


The theory of intelligent design holds that certain features of the universe and of living things are best explained by an intelligent cause, whereby behavior of matter/energy powers the emergence of a coexisting trinity of systematically self-similar (in each others image, likeness) intelligent “trial and error” learning systems at the genetic/molecular, cellular and multicellular level. This process includes both human physical development from single cell zygote that occurred over our own lifetime, and human lineage development from planetary chemistry that occurred over (billions of years) geologic time.

Behavior from a system or a device qualifies as intelligent by meeting all four circuit requirements that are required for this ability, which are: (1) A body to control, either real or virtual, with motor muscle(s) including molecular actuators, motor proteins, speakers (linear actuator), write to a screen (arm actuation), motorized wheels (rotary actuator). It is possible for biological intelligence to lose control of body muscles needed for movement yet still be aware of what is happening around itself but this is a condition that makes it impossible to survive on its own and will normally soon perish. (2) Random Access Memory (RAM) addressed by its sensory sensors where each motor action and its associated confidence value are stored as separate data elements. (3) Confidence (central hedonic) system that increments the confidence level of successful motor actions and decrements the confidence value of actions that fail to meet immediate needs. (4) Ability to guess a new memory action when associated confidence level sufficiently decreases. For flagella powered cells a random guess response is designed into the motor system by the reversing of motor direction causing it to “tumble” towards a new heading.

For machine intelligence the IBM Watson system that won at Jeopardy qualifies as intelligent. Word combinations for hypotheses were guessed then tested against memory for confidence in each being a hypothesis that is true and whether confident enough in its best answer to push a button/buzzer. Watson controlled a speaker (linear actuator powered vocal system) and arm actuated muscles guiding a pen was simulated by an electric powered writing device.

For typical intelligent multicellular systems: At the multicellular level there is a reciprocal neural connection from the brain to its muscle cells, then a neural sensory feedback connection from the muscle cells back to the brain. At the cellular level of each muscle cell there are metabolic pathway connections to activate muscle cell motor protein molecules which produce muscle cell contraction, then a metabolic pathway sensory feedback connection from motor protein molecules to the surface of the muscle cell to add its internal state (such as fatigue) to the signal that the feedback neuron receives from the muscle. At the molecular level there is the genome that produced and maintains the cell, which also requires sensory feedback for proper control of its internal environment.

At all biological intelligence levels whatever sensory the system has to work with addresses a memory system that works like a random access memory chip used in computers. It is possible to put the contents of a RAM into a Read Only Memory (ROM) but using a ROM takes away the system's ability to self-learn, it cannot form new memories that are needed to learn something new. Unless the ROM contains all-knowing knowledge of the future and all the humans it will ever meet in its lifetime it can never recall memories of meeting them, or their name and what they look like. The result is more of a zombie that may at first appear to be a fully functional intelligence but they are missing something necessary, a RAM in the circuit, not a ROM. For sake of theory the behavior of matter does not need to be intelligent, therefore a fully trained (all knowing) ROM could theoretically be used to produce atomic/molecular behavior.

Reciprocal cause/causation between levels goes in both the forward and reverse direction. These communicative behavioral pathways cause all of our complex intelligence related behaviors to connect back to the behavior of matter, which does not necessarily need to be intelligent to be the fundamental source of consciousness.

(1) Molecular Level Intelligence: Behavior of matter causes self-assembly of molecular systems that in time become molecular level intelligence, where biological RNA and DNA memory systems learn over time by replication of their accumulated genetic knowledge through a lineage of successive offspring. This intelligence level controls basic growth and division of our cells, is a primary source of our instinctual behaviors, and causes molecular level social differentiation (i.e. speciation).

(2) Cellular Level Intelligence: Molecular level intelligence is the intelligent cause of cellular level intelligence. This intelligence level controls moment to moment cellular responses such as locomotion/migration and cellular level social differentiation (i.e. neural plasticity). At our conception we were only at the cellular intelligence level. Two molecular intelligence systems (egg and sperm) which are on their own unable to self-replicate combined into a single self-replicating cell, a zygote. The zygote then divided to become a colony of cells, an embryo. Later during fetal development we made it to the multicellular intelligence level which requires a self-learning neural brain to control motor muscle movements (also sweat gland motor muscles).

(3) Multicellular Level Intelligence: Cellular level intelligence is the intelligent cause of multicellular level intelligence. In this case a multicellular body is controlled by a brain made of cells, expressing all three intelligence levels at once, which results in our complex and powerful paternal (fatherly), maternal (motherly) and other behaviors. This intelligence level controls our moment to moment multicellular responses, locomotion/migration and multicellular level social differentiation (i.e. occupation). Successful designs remain in the biosphere’s interconnected collective (RNA/DNA) memory to help keep going the billions year old cycle of life, where in our case not all individuals must reproduce for the human lineage to benefit from all in society.

The combined knowledge and behavior of all three intelligence levels guides spawning salmon of both sexes on long perilous migrations to where they were born and may choose to stay to defend their nests "till death do they part" from not being able to survive for long in freshwater conditions. Motherly alligators and crocodiles gently carry their well guarded hatchlings to the water, and their fathers will learn to not eat the food she gathers for them. If the babies are scared then they will call and she will be quick to come to their aid and let them ride on her head and body, as they learn what they need to know to succeed in life. For humans this instinctual and learned knowledge has through time guided us towards marriage ceremonies to ask for "blessing" from a conscious part of us that our multicellular intelligence level (brain) may be able to sense coming from the other intelligence levels we cannot directly experience, which at the genetic intelligence level has for billions of years been alive, and is now still alive inside of us..

We are part of a molecular level learning process that keeps itself going through time by replicating previous contents of genetic memory along with best (better than random) guesses what may work better in the next replication, for our children. The resulting cladogram shows a progression of adapting designs evidenced by the fossil record where never once was there not a predecessor of similar design (which can at times lead to entirely new function) present in memory for the descendant design to have come from.

For computer modeling purposes the behavior of matter can be thought of as being “all-knowing” in the sense that the behavior is inherent, does not have to learn its responses. A computer model then starts off with this behavior already in memory and has no GUESS or CONFIDENCE included in the algorithm, as does intelligence. Memory contents then never changes. Only a GUESS can write new data to memory and GUESS must here be taken out of the algorithm. But it is possible to leave the CONFIDENCE in the algorithm, it will still work the exact same way. Where this in time proves to be true for real matter it would be a valuable clue as to how consciousness works and possibly how to model it, which may in turn help answer the “big questions” including those pertaining to afterlife.

Because of the theory now being over 40 pages long the entire text is presented in Pdf format:
Theory Of Intelligent Design

You will also need the computer software that goes with the text of the theory:
Intelligence Design Lab Computer Models

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