Moshe Looks
AI Researcher, Google Research
Moshe Looks He has been working in the fields of artificial intelligence and AGI (artificial general intelligence) for five years, and has published eighteen peer-reviewed papers in venues such as IJCAI (International Joint Conference on AI) and ICCS (International Conference of the Cognitive Science), on topics such as probabilistic approaches to learning programs, AGI architecture, and the intersection of AI and cognitive science. For his doctoral dissertation he created MOSES (Meta-Optimizing Semantic Evolutionary Search), a key component of the Novamente Cognition Engine. He has a Ph.D. and M.S. from Washington University and a B.Sc. from Hebrew University (magna cum laude at age 19). He is scheduled to present on the subject of Automated Program Learning for AGI at AGI-09: The Second Conference on Artificial General Intelligence, taking place in Arlington, Virginia in March of 2009.
video
AGI-08 Discussion Session: Future Directions for AGI Research