Abstract
In this paper, Kant's philosophical doctrine of the categories of the reason is used to substantiate the conceptual model of knowledge representation, based on the collective interaction of a lot of intellectual atomic elements of knowledge (knowledge quanta), which are combined into clusters like neurons in the brain; and also a phenomenological description of the corresponding universal ontology, proceeding from the philosophical premise of Husserl-Heidegger that the meaning of intelligence is not so much in knowing the absolute truth as in survival, is presented. In the process of cognizing the surrounding world, a person uses both a priori knowledge and a posteriori knowledge, but the transcendental content of a priori forms of thinking does not allow them to be used directly in logical judgments. Nevertheless, one can try to use them as "ontological predicates" following the advice of I. Kant, what was done in this article. Heuristic ontological relations that directly follow from the categories of Kant are easy to use and sufficient to describe any ontology. Offered knowledge representation model, the key idea of which is the primacy of knowledge to logical inference and their emergent ability to self-organize, in conjunction with the transcendental logic-based ontology of empirical knowledge can be used to create a universal inference engine.
Highlights
The stumbling block for creating artificial intelligence is the question of the origin of knowledge – cognition
Regardless of its origin, generates new knowledge. This is a permanent process, and there are no restrictions on the formation of knowledge structures, except for those that are determined both by a priori forms of thinking and perception and by the nature of the knowledge itself and its emergent ability to self-organize
The mind controls the perception of the surrounding world through the cognitive system and determines the reaction of the organism in each specific situation, but this requires a suitable ontology in which all the acquired empirical knowledge would be stored
Summary
The stumbling block for creating artificial intelligence is the question of the origin of knowledge – cognition. Kant, both the forms of thinking and the forms of perception can be a priori (pure) and empirical. It should be borne in mind that one cannot limit the cognition of the surrounding world by the conscious phenomenological perception in space and in time, forgetting about the possibility of the subconscious (heuristic) cognition through communication with the Creator. It is the presence of such a connection that distinguishes the human being as a special type of organic life on Earth from animals; without this connection, his full intellectual development is impossible
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
