The magic behind Intelligence

According to my point of view, intelligence can be described as a functionality of a no embodiment component. This functionality has capabilities to make decisions and take suitable actions. The no embodiment component I have mentioned here is not strongly associated with the brain, instead it exist somewhere above the brain and manipulate the brain activity. The visible outcome of the intelligence is performing an action. The action coheres with a set of decisions made by thought classification.

A decision cannot make without knowledge. The knowledge can be either explicit or tacit. The explicit knowledge mostly represents factors in the environment or the situation. The tacit knowledge represents the value (knowledge) can be added to the explicit knowledge. Making a set of decisions depends on explicit knowledge while selecting a decision about what action to be performed depends on tacit knowledge.

So far it is clear that intelligence is all about manipulating the knowledge. Therefore it is necessary to have knowledge collecting mechanism to gain or implement intelligent properties. This knowledge collecting mechanism can be either Cognition or Perception. The no embodiment component should store the collected knowledge in such a way that the knowledge could use to make relationships among them. This storage mechanism will be discussed in another article.

The cognition is allowing to collect knowledge without experience or self-awareness of the knowledge. The knowledge gained form cognition should implement above mentioned correlations among different knowledge groups to ensure the accuracy of its actions. The perception is realizing the knowledge. Realization of knowledge is performed on the knowledge gained from cognition. Tacit knowledge is most of the time gained by perception.

The Cognition is strongly used to make Artificial Intelligence a success. The problem with this method is thought classification doesn’t use tacit knowledge, which makes it half intelligent-half predefined. In Artificial General Intelligence expectations of intelligence are on human level or beyond without any physical or theoretical constraint. As I see the AGI is in correct path with wrong compass. A human level knowledge gaining mechanism is required to achieve intelligence of human level or beyond.

Though humans are using cognition to collect knowledge, the evolutionary process made them to use perception. Adam and Eva have already given evidence for that. The knowledge gained by perception makes perfective decisions. It shouldn’t explicitly define a mechanism to reflect what knowledge gained and doesn’t need strong interrelationships like in cognition since realization crates a unique knowledge to the no embodiment component.

Perception can contribute to make a knowledge infrastructure for intelligence of human level or beyond. Detailed understanding of perception, knowledge storing and thought classification is required and to be discussed.