Building machines capable of performing automated reasoning is one of the most complex but fascinating challenges in AI. In particular, providing an effective integration of learning and reasoning mechanisms is a long-standing research problem at the intersection of many different areas, such as machine learning, cognitive neuroscience, psychology, linguistic, and logic. The recent breakthrough achieved by deep learning methods in a variety of AI-related domains has opened novel research lines attempting to solve this complex and challenging task.
Reasoning with deep learning: An open challenge / Lippi M.. - ELETTRONICO. - 1802:(2017), pp. 38-43. (Intervento presentato al convegno 2016 AI*IA Workshop on Deep Understanding and Reasoning: A Challenge for Next-Generation Intelligent Agents, URANIA 2016 tenutosi a ita nel 2016).
Reasoning with deep learning: An open challenge
Lippi M.
2017
Abstract
Building machines capable of performing automated reasoning is one of the most complex but fascinating challenges in AI. In particular, providing an effective integration of learning and reasoning mechanisms is a long-standing research problem at the intersection of many different areas, such as machine learning, cognitive neuroscience, psychology, linguistic, and logic. The recent breakthrough achieved by deep learning methods in a variety of AI-related domains has opened novel research lines attempting to solve this complex and challenging task.
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
