Basics 1
There are 27 regions in the Paralogical Model.
Three regions make a trilogy.
The trilogies are linear. The flow of information goes from one trilogy to the next. There are no shortcuts for convenience.
However, inside each trilogy the flow of information is able to loop multiple times before it is conveyed forward. Most of the time each trilogy will only loop 2 or three times.
A cycle is a full revolution through all 9 trilogies of the model.
NIne Divisions of Intelligence
Fundamental → Processes, Functions and Experiences
Developmental → Thoughts, Abilities and Ideas
Personal → Knowledge, Skills and Plans
The difference between functions, abilities and skills can be explained by the example of playing a piano. The fundamental regions allow us to sense and recognize that a piano is in front of us. We can sense the black and white keys. We can recognize the sounds of the piano. The developmental regions allow us to touch and listen to the piano as well as to play a couple of notes and even a simple piece of music. The personal divisions allow us to play this piece of music with feeling. Each time we play the piece of music it will be a little bit different. The personal divisions allow us to choose which song to play and how to interpret the best way to play it.
Going back to the developmental regions. The more we practice playing the piano, the better we will get. So, the skill of playing the piano is tied directly to the development of our abilities in playing the piano.
Information and Not Data
The Paralogical Model deals with information more than it deals with data.
Information is an electrical, mechanical or chemical signal which can be stored, manipulated and/or transmitted between two regions for the purpose of communication.
Data is an isolated piece of information that is often stored and manipulated but it is not currently being transmitted between two regions for the purpose of communication.
A good analogy would be the old "If a tree falls in the forest..." In this analogy the tree is data. The forest is the database. The only way to know if the tree has fallen or not is to explore the forest. By exploring the forest you now have information about which tree fell, how tall was the tree, what kind of tree fell, how many leaves were on it, etc. And if we wanted to know if it made a sound, we could measure the residual heat around where it fell.
Same thing about the Schrödinger's cat paradox. The cat inside the box is data because the cat is isolated and not in communication with the outside world. When we open the box, the cat turns into information because there are now electrical, mechanical and chemical signals being transmitted from the region inside the box to the region outside the box where you are observing the cat.
Structuralist
The structures of the Paralogical Model are designed to match the structures of the brain and body. A neural net is a very small structure. A trilogy made up of three kinds of neural nets is a slightly larger structure. The Paralogical Model turns these trilogies into a much larger interconnected structure. The structures will follow the same algorithms repeatedly. However, the structures will have emergent properties that are slightly less predetermined and slightly more spontaneous.
There is some programming, coding, or scripting involved in building this model. The sensors, controllers and actuators will need this programming so that they are using the correct inputs and outputs of information. However, the model is mostly about structuring the sensors, controllers, and actuators a certain way and why these structures need to be wired a certain way.
If you endorse the Paralogical Model, then consider yourself a structuralist and not a programmer.
Sensors, Controllers and Actuators
There are mechanical, electrical and chemical sensors, controllers and actuators. For sensors and actuators it is easier to talk about the mechanical forms. When talking about controllers it is easier to talk about the electrical forms.
Mechanical actuators make up the bulk of a sentient robot. An actuator is as simple as a limb or a body form. Actuators are so simple that a single actuator does not move! Often an actuator is structurally linked with other actuators. As you design the actuators for your first sentient robot you will need to design the larger actuators so that smaller actuators and sensors can be inserted into the form of the larger actuator. The reason actuators have performance and potential is that a limb can be longer or shorter. Another actuator which is linked to this limb will cause the limb to have a different or better performance and potential.
Mechanical sensors are extremely small compared to the mechanical actuators. A mechanical sensor is able to move but it needs a place to exist. Often a mechanical sensor is housed in a small recess inside a mechanical actuator. The sensor will now be able to move based on the form of the actuator you have designed. The more sensors you can pack into a small area, the better sensing and sensations you will get when a single sensor or multiple sensors from that group measure something.
Electrical controllers are complicated. A circuit is a closed path of wires, switches, and a power source. These individual things are actuators and exist somewhere on or near a mechanical actuator. A controller works alongside this circuit of actuators. The switch will open or close this path. An electric controller is not a switch that opens or closes the path in the circuit. The electrical controller processes sequential electron flow on this circuit. It will form an abstraction of 1 if there is electron flow and will form an abstraction of 0 if there is no electron flow. It can also form an abstraction of any number in between 0 and 1. The controller is making continuous sequential comparisons. If there is reduced electron flow, then the controller will make a comparison of the old electron flow of let's say 1 with the new electron flow of .95 and form an abstraction of -.05 or something like that. If the next abstraction is -.06 then the sentient robot can cognize, recognize, and discern this event. The sentient robot will have formed a cognition or realization of a resistance in its circuit.
When designing your first sentient robot you will place these circuits on a circuit board or structurally place the circuits onto a mechanical actuator. You will need to have a power source for each circuit. So, obviously you will need to find more and more efficient ways to power each circuit.
As a side note, if there is no circuit board then all the circuits can be rolled up into a ball and if you insulate the wires you have just built a neural net. This neural net of circuits is just like a structure in the brain. In this example, the skull (which does not normally move) is the mechanical actuator, the ganglial cells are the power source and the neurons are the wires and switches.
Most of the regions in the Paralogical model are algorithms which will be structured onto circuit boards. The circuit board can be placed anywhere on the sentient robot you are designing.
The circuit boards of today are extremely small compared to the actuators and may be even smaller than some sensors. The configuration of wires, switches and a power source is already well established on a CPU or central processing unit chip. The only further consideration would be to decentralize the processing of information over many RAM or ROM chips. If the algorithm can be set up on a ROM chip, then do this for that specific region. If you need more storage for some regions then add more RAM to these regions. If the region has nothing to do with electrical controllers but may need some electrical sensors, then add input ports for these sensors. If the region needs electricity for a mechanical actuator to run then add an output port for this actuator.
I would suggest treating each region as a stand alone decentralized entity. Start building each region with its own power source and specific inputs and outputs. In the beginning, keep each region simple in design. Once the whole sentient robot is working then begin to slowly advance and evolve each region.