Pattern Recognition Theory of Mind

TL;DR

This paper proposes a pattern recognition-based framework for modeling the mind, suggesting that consciousness and cognitive functions can be understood through pattern recognition, memorization, and processing principles.

Contribution

It introduces a novel theoretical approach to modeling mind functions based on pattern recognition principles, applicable to cognitive science and AI.

Findings

A consciousness definition based on self-recognition of activity patterns

A descriptive model linking pattern recognition to cognitive functions

Potential for new research directions in AI and cognitive sciences

Abstract

I propose that pattern recognition, memorization and processing are key concepts that can be a principle set for the theoretical modeling of the mind function. Most of the questions about the mind functioning can be answered by a descriptive modeling and definitions from these principles. An understandable consciousness definition can be drawn based on the assumption that a pattern recognition system can recognize its own patterns of activity. The principles, descriptive modeling and definitions can be a basis for theoretical and applied research on cognitive sciences, particularly at artificial intelligence studies.