Cognitive functions represent the fundamental ways in which the human mind processes information. They were firstly introduced by Carl Gustav Jung as elementary types of personality that can exists. Each function can be represented as distinct binary representation that reflects its functional nature.
Thinking is a function that allows users to differentiate what is feasable or correct and what is not. Its function is to fire when there is an inconcistency or unfisability
| Input | Base | Output |
|---|---|---|
| 1 | 1 | 0 |
| 1 | 0 | 1 |
| 0 | 1 | 1 |
| 0 | 0 | 1 |
Thinking is a rational function and therefore it has 3 positive outputs and 1 negative outcome.
Feeling assesses information based on emotional resonance and value alignment. Feeling functions by comparing or determining which option is better or labeling it as good/bad.
| Input | Base | Output |
|---|---|---|
| 1 | 1 | 1 |
| 1 | 0 | 1 |
| 0 | 1 | 1 |
| 0 | 0 | 0 |
Feeling is a rational function and therefore it has 3 positive outputs and 1 negative outcome.
Is a function that recognize's and identifies abstract connections and possibilities. Intuition operates by prciving absence of common signals that ususally indicates information. Therefore it is hard to communicate as it represents missing information.
| Input | Base | Output |
|---|---|---|
| 1 | 1 | 0 |
| 1 | 0 | 1 |
| 0 | 1 | 1 |
| 0 | 0 | 0 |
Intuition is a perceptive function its job is to corrolate stimulus to concepts. Therefore it has 2 positive and 2 negative resutls.
Perception that focuses on tangible details and immediate experience. Sensing operates by categorizing information by coresponding signals.
| Input | Base | Output |
|---|---|---|
| 1 | 1 | 1 |
| 1 | 0 | 0 |
| 0 | 1 | 0 |
| 0 | 0 | 1 |
Sensing is a perceptive function its job is to corrolate stimulus to concepts. Therefore it has 2 positive and 2 negative resutls.
The following graph represents the flow of cognitive processing through various nodes. Each node represents a distinct cognitive function, and connections between nodes show how information propagates through the cognitive system.
Introverted: Introverted functions serve as a reinforcement that filteres non necessary firings.
Extroverted: Extroverted function help categorze different possibilities for information caracterisation.
Introverted/extroverted structure: It is necessary to have combination of extroverted/introverted interchanged function in order to mitigate possibilities of dying or echoing signals trought the whole graph network.
Flow: Input signal or percived information is flowing trough the whole sistem filtering important information by using perceptive function to lable the type of concepts that is observed, as well as rational to dedicate more precise state of the percived system.
Information: Infrmation and consciousness of this system is represented in the signal that propagets while nodes represent stored and learned knowlage of the system.
Decisions: Decisions that are made are actually connections between nodes that depending on the signal properties, action potential and sensitivity of neuron.
Consciousness can be understood as a signal propagating through cognitive nodes, representing a spatial algorithm rather than a purely computational one. This model more accurately reflects how our minds work, as consciousness has contextual domain specific decision making that seems to be complitly disconected from other regions not in context.
Unlike traditional computational models that process information sequentially, consciousness operates as a distributed, parallel system where information flows simultaneously through multiple pathways. The binary signals (active/inactive) traverse the cognitive network in patterns that create our subjective experience of awareness.
This allows our consciousness to have different frequencies of decision making depending on the complexity of the task that other ML models do not offer
This spatial algorithmic model better explains different destinct tought patterns that emerge and are frequently mentiond such as intuition/sensation, emotional/rational responses, as well as our thought processes like aha moments, remembering events, thought that just popup and indecisivness at very least.
Different parts of the mind operate on distinct frequencies depending on the complexity of the task and required response time. These cognitive subsystems function independently yet collaboratively toward common goals, explaining different decision making depending on the time of the day or tiredness as faster processing blocks get worned out later in the day.
As a thought experiment ask yourself during the morning what is your favorite meal, colour how you feel towards your friends and so on, and check if answers are the same at night or have they changed
Also when your brain operates at faster frequencies, your decision making can change, think of the inpuls buys or corrent answers that imidiatly come to your mind when asked a question.
Memories seem to be an active lingering signals that are traped in neurons that can degrade over time depending on the signal strenght and connecting nodes to it that give it relevance.
Perhaps most remarkably, a group of neurons in close proximity can recreate any information if encoded in the right way. Buy delegating certain regions to differen processes and navigating relevant signal trough them implying a connected network of tought patterns.