The Michael Shermer Show

The Emergent Mind: From Ant Colonies to Human Thought to Artificial Intelligence

Dec 6, 2025
In this insightful discussion, Jay McClelland, a pioneering cognitive scientist from Stanford, and Gaurav Suri, a computational neuroscientist at San Francisco State, explore the evolution of thought and consciousness. They delve into how simple neural networks can create complex behaviors, examine the enigma of consciousness, and debate the future of AI in relation to human intelligence. From the intricacies of memory retrieval to the challenges of modeling subjective experience, their conversation reveals the fascinating interplay between brain function and emergent behavior.
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INSIGHT

Mind As An Emergent System

  • The mind is an emergent property arising from interactions among simple parts rather than a single component.
  • Neural network models show how collective simple units produce perception, attention, learning, and thought.
ANECDOTE

Word–Letter Interactive Model

  • Jay McClelland described building an interactive activation model where word units reinforce letter units bidirectionally.
  • That model explained why letters are seen more clearly in words than alone by sustained mutual activation.
INSIGHT

Modeling Experience Without Solving Consciousness

  • Modeling targets measurable phenomena, not the raw subjective 'movie' of consciousness.
  • Neural activations and attractor states can correspond to perceptual experience even if the hard problem remains unsolved.
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