The goal: to reveal how understanding human cognition can shape the design of smarter, more human-like AI.

This presentation explores how two powerful frameworks—John Anderson’s Architecture of Cognition and the 4E (Embodied, Embedded, Extended, Enactive) approach—offer complementary lenses on the mind, and what they mean for the future of AI. We’ll trace how classical cognitive architectures model thought as a rule-based, memory-driven system, then contrast that with 4E’s vision of cognition as dynamic, context-bound, and inseparable from body and environment. Along the way, we’ll see how AI systems—from symbolic expert programs to adaptive embodied robots—mirror, challenge, and extend these models. The goal: to reveal how understanding human cognition can shape the design of smarter, more human-like AI.