artificial intelligence

AI: A Return to Meaning

Location: Salon A
April 11th, 2016
8:45 AM - 9:45 AM

Artificial Intelligence started with small data and rich semantic theories. The goal was to build systems that could reason over logical models of how the world worked; systems that could answer questions and provide intuitive, cognitively accessible explanations for their results. There was a tremendous focus on domain theory construction, formal deductive logics and efficient theorem proving. The problem, of course, was the knowledge acquisition bottleneck; it was too difficult, slow and costly to render all common sense knowledge into an integrated, formal representation that automated reasoning engines could digest. In the meantime, huge volumes of unstructured data became available,

David Ferrucci

Computer Scientist and Watson Co-Creator