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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
Objects, Natural Units and Natural Kinds 167 9.4.2 Events, Processes and Causality 168 9.4.3 Stuffs, States of Matter, Qualities 168 9.4.4 Surfaces, Limits, Boundaries, Media 168 9.4.5 What Kind of Physics Is Needed to Foster Human-like Intelligence? 169 9.5 Folk Psychology 170 9.5.1 Motivation, Requiredn
: 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
vents, Processes and Causality ........... 00... c cece ee eee 168 9.4.3 Stuffs, States of Matter, Qualities....... 0... 0. eee eee eee eee 168 9.4.4 Surfaces, Limits, Boundaries, Media .......... 0.0.0.0 cece eee eee eee 168 9.4.5 What Kind of Physics Is Needed to Foster Human-like Intelligence?..... 169 9.5 Folk Psychology
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
hness, graininess, stickiness, runniness, etc. 4, Distinguishing degrees of elasticity and fragility 5. Assessing separability of aggregates 9.4.4 Surfaces, Limits, Boundaries, Media Gibson [Gib77, Gib79] has argued that naive physics is not mainly about objects but rather mainly about surfaces. Surfaces have a variety of
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