Non-neural intelligence: biological architectures for problem-solving in diverse spaces

Michael Levin
Tufts University

The familiar, readily-recognized intelligence of brainy animals has long served as inspiration for AI. However, biological intelligence is far older than neurons, and indeed than multicellularity. My lab studies problem-solving in cells, tissues, and even subcellular components, operating in different spaces and at different scales than conventional intelligent agents. In this talk, I will describe a framework for detecting, communicating with, and creating collective intelligences, and show examples of how the fundamental properties of life suggest novel approaches for ethically relating to diverse and fascinating engineered and hybrid intelligences.

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