AI and Evolutionary Computation Experts Q&A | Ken Stanley | Cognizant

AI development occurs on a wide range of levels, including both higher-level applications as well as lower-level technical implementation decisions. In order to be adopted more effectively, AI platforms need to be developed that people can implement without expert understanding of the technical details. By taking lessons from the proven-effective biological algorithms of the natural world, neuroevolution brings new techniques to AI ⁠⁠- including open-endedness, novelty search, and quality-diversity ⁠- that bring it closer than ever to being an effective, versatile tool.
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