Why AI and Darwinian Theory Share the Same Computational Limits

Today’s episode of ID The Future comes from our sister podcast Mind Matters News, a production of Discovery Institute's Walter Bradley Center for Natural and Artificial Intelligence. On this episode of Mind Matters News, guest host Pat Flynn welcomes Dr. Winston Ewert to the show to discuss Ewert’s chapter in the volume Minding the Brain. In his contribution, titled “The Human Mind’s Sophisticated Algorithm and Its Implications,” Dr. Ewert argues that the human mind’s problem-solving cognition can be modeled as a sophisticated algorithm. Ewert explains that any cognitive task can be expressed as a version of the halting problem from computer science, where an algorithm either halts or continues infinitely. He suggests that humans are able to solve a large and sophisticated subset of these problems, but are limited in the same way that no algorithm can solve all halting problems. Ewert contends that this algorithmic view of human cognition has implications that challenge reductive materialist and neo-Darwinian views, despite resistance from some thinkers who believe human abilities transcend any algorithm.

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