Harnessing sensory prediction for nonliving systems
Prediction is a key part of complex systems, in a wide variety of fields. Physicists and mathematicians use prediction performance to evaluate their models of mechanical systems; engineering prediction algorithms can inform the design of complicated devices. Prediction is also integral in artificial intelligence, in large language models like ChatGPT, which are designed to predict a word or words that follow from a prompt. A July 10–14 workshop at SFI called “Sensory Prediction: Engineered and Evolved” met to discuss how to build better models of prediction in living organisms.