Abstract – (Bayesian/Algorithmic) Information theory, one- and two-part compression, and measures of intelligence – David Dowe

On August 19, 2011, in Abstract, Presenter, Summit, by Adam A. Ford

Greg Chaitin wrote in 1982: “… develop formal definitions of intelligence and measures of its various components [using algorithmic information theory, a.k.a. Kolmogorov complexity]”.   We make a case for the relationship between information theory and intelligence.  More specifically, we begin by introducing the Bayesian information-theoretic notion of Minimum Message Length (MML) machine learning, and then […]

Kevin B. Korb

On April 25, 2011, in Bio, Presenter, Summit, by Adam A. Ford

Kevin’s research is in artificial intelligence and the philosophy of  science  and the interrelation between the two, and especially the  automation of  scientific induction, or causal discovery. He is also  co-founder of Psyche: An Interdisciplinary Journal of Research on  Consciousness. Recent presentations:   <a href=”http://www.csse.monash.edu.au/%7Ekorb/lmps.pdf”><em>The Philosophy of Computer Simulation</em></a>, an invited talk at the <a href=”http://www.clmps2007.org/”> […]