Modern Artificial Intelligence and the Stochastic Tradition by George F. Luger, Professor of Computer Science, Psychology, and Linguistics at
the University of New Mexico. Thursday, 9 October 2008, 5 p.m.
Abstract
Probabilistic forms of representation and reasoning have become important components of modern artificial intelligence (AI) technology. What is this change and how have earlier successes and failures of AI research brought it about? We will consider several concrete examples of diagnostic and prognostic reasoning and discuss probabilistic solutions for these problems. We will conclude with a discussion of why the stochastic approach has brought about both practical computational results as well as supported a modern (epistemological) analysis of the nature of intelligence itself.
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