Understanding intelligence and creating intelligent artifacts, the twin goals of artificial intelligence (AI), represent two of the final frontiers of modern science. Several of the early pioneers of computer science, such as Turing, Von Neumann, and Shannon, were captivated by the idea of creating a form of machine intelligence. The questions and issues considered back then are still relevant today, perhaps even more so.
Research in AI at Cornell covers a wide range of topics, including decision theory, knowledge representation, machine learning and datamining, natural language processing, planning, reasoning under uncertainty, search, and vision. Our research program embraces both theoretical and experimental aspects - a particular strength of the department is in compute-intensive approaches to AI problems. Given the complexity of many of the basic questions in AI, our research often transcends traditional scientific boundaries. We are actively pursuing connections to other disciplines, such as biology, economics, linguistics, operations research, physics, and psychology. The Department is also one of the main participants in the university-wide Cognitive Science program and in the Intelligent Information Systems Institute, a collaboration with the Air Force Research Laboratory.