"When Enlightenment thinkers, like René Descartes or Gottfried Wilhelm Leibniz, first began using mathematics to effectively describe the physical world around us, they also suggested that the same kind of approach might be used to describe the mental world inside us. Those early efforts led to the development of mathematical logic and digital computers, which in turn led to the creation of cognitive science by psychologists who used mathematical ideas to come up with new theories about the mind."
"How can we study something we can't see or touch? Mathematics allows us to develop rigorous theories about how minds work. It also lets us use those theories to build artificial intelligence systems. Just as physicists seek to identify Laws of Nature, cognitive scientists hope to discover the Laws of Thought."
"Modern AI springs from that tradition: Key advances in the development of artificial neural networks came from psychologists seeking to understand how the human mind works."
Mathematics provides a rigorous framework for studying the mind, enabling development of cognitive theories and artificial intelligence systems. The history of AI extends back centuries to Enlightenment thinkers like Descartes and Leibniz, who proposed using mathematics to describe both the physical and mental worlds. This approach led to mathematical logic, digital computers, and cognitive science. Modern AI emerges from this tradition, with key advances in artificial neural networks originating from psychologists studying human cognition. Recent breakthroughs in chatbots and image recognition represent the continuation of this centuries-long mathematical approach to understanding intelligence.
Read at Fast Company
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