Theory of Cognitive Relativity: A Promising Paradigm for True AI
Yujian Li

TL;DR
The paper proposes the Theory of Cognitive Relativity as a new paradigm for achieving true AI, emphasizing principles that could lead to artificial general intelligence and consciousness beyond brain-like models.
Contribution
It introduces the Theory of Cognitive Relativity, outlining fundamental principles for understanding and developing true AI and consciousness, diverging from traditional brain-like approaches.
Findings
Principle of World's Relativity constrains subjective perception.
Principle of Symbol's Relativity allows diverse symbol systems.
Thought experiments highlight importance for scientific theory of mind.
Abstract
The rise of deep learning has brought artificial intelligence (AI) to the forefront. The ultimate goal of AI is to realize machines with human mind and consciousness, but existing achievements mainly simulate intelligent behavior on computer platforms. These achievements all belong to weak AI rather than strong AI. How to achieve strong AI is not known yet in the field of intelligence science. Currently, this field is calling for a new paradigm, especially Theory of Cognitive Relativity (TCR). The TCR aims to summarize a simple and elegant set of first principles about the nature of intelligence, at least including the Principle of World's Relativity and the Principle of Symbol's Relativity. The Principle of World's Relativity states that the subjective world an intelligent agent can observe is strongly constrained by the way it perceives the objective world. The Principle of Symbol's…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Cognitive Science and Mapping · AI-based Problem Solving and Planning
