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Human Cognitive Architecture as an Intelligent Natural Information Processing System.

Slava Kalyuga¹

¹School of Education, University of New South Wales, Sydney 2052, Australia.

Behavioral Sciences (Basel, Switzerland)

|March 28, 2025

Summary

This study introduces an updated model of human cognitive architecture, highlighting the critical role of explicit intention to learn. This principle drives controlled information processing and is key to human intelligence and culture.

Keywords:

human cognitive architecture intelligence intelligent natural information processing system

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Area of Science:

Cognitive Science
Neuroscience
Psychology

Background:

Human cognitive architecture is an intelligent natural information processing system.
It operates based on six principles, including a recently added 'explicit intention to learn' principle.

Purpose of the Study:

To provide a theoretical overview of an updated model of intelligent natural information processing systems.
To emphasize the role of the 'explicit intention to learn' principle in human intelligence and culture.

Main Methods:

Theoretical overview of an updated cognitive architecture model.
Analysis of the impact of the 'explicit intention to learn' principle on other operational principles.

Main Results:

The 'explicit intention to learn' principle distinguishes human systems from lower-level systems.
This principle is directly related to intelligence as an emergent characteristic.
Human intelligence and intentional learning drove the emergence of human culture.

Conclusions:

The updated model offers insights into the nature of human intelligence.
Educational implications focus on strengthening human intelligence through intentional learning.
This framework aids understanding the transition from biological to cultural evolution.