Neurosymbolic Artificial Intelligence

Catalog description

Neurosymbolic Artificial Intelligence (AI) aims to build rich computational AI models, systems, and applications by combining neural and symbolic learning, representation, and reasoning through combining the complementary strengths of neural and symbolic AI while overcoming their respective weaknesses. This may be accomplished through their principled integration of their representations or by developing hybrid systems that combine neural and symbolic components in a single architecture. Prerequisite(s): Graduate level CS 7810 Minimum Grade of C