Advanced · Cognitive

Cognitive Architectures

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. Integrated computational frameworks designed to model an entire range of human-like cognitive capabilities, such as perception, reasoning, and learning.

Technical Definition

Integrated computational frameworks designed to model an entire range of human-like cognitive capabilities, such as perception, reasoning, and learning.

How it works

Cognitive architectures aim to build unified AI systems that can exhibit broad intelligence, going beyond single-task specialization. They often integrate symbolic and connectionist components to simulate human cognitive functions. Examples include SOAR and ACT-R, seeking to explain and replicate complex human thought.

Related Concepts

• Artificial general intelligence (AGI) — AI that can perform any intellectual task that a human being can.
• Neuro-Symbolic AI — A hybrid AI approach combining connectionist (neural networks) and symbolic (rule-based) methods for enhanced reasoning and learning.
• Common Sense Reasoning — The ability of AI systems to make inferences and judgments based on a broad, implicit understanding of the world, similar to humans.