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Contact: Michelle.Moravec@anu.edu.au COMPUTER SCIENCE SEMINAR
Universal Artificial Intelligence (pilot talk)Dr Marcus Hutter (School of Computer Science, ANU)DATE: 2009-08-26 TIME: 11:00:00 - 12:00:00 LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU ABSTRACT: A key property of intelligence is to learn from experience, build models of the environment from the acquired knowledge, and use these models for prediction. In philosophy this is called inductive inference, in statistics it is called estimation and prediction, and in computer science it is addressed by machine learning. The second key property of intelligence is to exploit the learned predictive model for making intelligent decisions or actions. Together, in computer science this is called reinforcement learning, in engineering it is called adaptive control, and in statistics and other fields it is called sequential decision theory. The talk will introduce the philosophical, statistical, and computational aspects of inductive inference, Solomonoff's unifying universal solution, and the theory of universal learning agents that incorporate most aspects of rational intelligence. Reading Group: This is a pilot talk to a subsequent reading group on the same topic every Wednesday, 10am-11am, in the RSISE Building, Common LHS Room, A203. The reading group will focus on the key ingredients to the theories of Universal Induction and Universal AI, which are important subjects in their own right: Occam's razor; Turing machines; Kolmogorov complexity; probability theory; Solomonoff induction; Bayesian sequence prediction; minimum description length principle; intelligent agents; sequential decision theory; adaptive control theory; reinforcement learning; Levin search and extensions; and others.
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