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 […]

Ben Goertzel

On April 12, 2011, in Bio, Presenter, by Adam A. Ford

CEO, Novamente LLC and Biomind LLC Vice Chairman, Humanity+ Advisor, Singularity University and Singularity Institute External Research Professor, Xiamen University, China The Future History of Artificial General Intelligence: Cognitive Robotics and the Global Brain, 2010-2040 “After a brief survey of the state of the art in AGI, cognitive robotics and distributed Internet intelligence, we will […]