Epstein Secrets

ligence resulting from the the AGI Roaclmap Workshop held at the University of Knoxville in October 2008 r, which was organized by Ben Goertzel and Itamar Arel. In this list, each broad competency area is listed together with a number of specific competencies sub-areas within its scope: 1. Perception: visi

tive Schematic 133 7.3 Toward a Formal Characterization of Real-World General Intelligence 135 7.3.1 Biased Universal Intelligence 136 7.3.2 Connecting Legg and Hutter's Model of Intelligent Agents to the Real World 137 7.3.3 Pragmatic General Intelligence 138 7.3.4 Incorporating Computational Cost

: Stan Franklin, Juergen Schmidhuber, Marcus Hutter, Kai-Uwe Kuehnberger, Stephen Reed, Blerim Enruli, Kristinn Thorisson, Joscha Bach, Abram Demski, Itamar Arel, Mark Waser, Randal Koene, Paul Rosenbloom, Zhongzhi Shi, Steve Omohundro, Bill Hibbard, Eray Ozkural, Brandon Rohrer, Ben Johnston, John Laird, Shan

rd a Formal Characterization of Real-World General Intelligence ......... 135 7.3.1 Biased Universal Intelligence............ 0.00. ee eee 136 7.3.2 Connecting Legg and Hutter’s Model of Intelligent Agents to the Real World... ee cet ete e tne e eens 137 7.3.3 Pragmatic General Intelligence ............ 00... c

t control systems. e Deep learning networks as a model of perception (and action and reinforcement learning), as embodied for example in the work of Itamar Arel [ARC09] and Jeff Hawkins [HB06]. The integrative diagram adopts this as the basic model of the perception and action subsystems of human intelligence

ve specific limits on their intelligence. HOUSE_OVERSIGHT_013052 7.3 Toward a Formal Characterization of Real-World General Intelligence 137 7.3.2 Connecting Legg and Hutter’s Model of Intelligent Agents to the Real World A notable aspect of the Legg and Hutter formalism is the separation of the reward mechani