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robot movement, may be supplied with a knob that can take on values corresponding to multiple possible movements. Following a metaphor suggested by Douglas Hofstadter MOSES learning covers both "knob twiddling" (setting the values of knobs) and "knob creation." MOSES is invoked within CogPrime in a number of way
p learning networks as a model of perception (and action and reinforcement learning), as embodied for example in the work of Itamar Arel EARC09] and Jeff Hawkins 11113061. The integrative diagram adopts this as the basic model of the perception and action subsystems of human intelligence. Language understand
nt, for instance, in the 19th-century philosophy of Charles Peirce [Pei34], in the writings of contempo- rary philosophers Daniel Dennett [Den91] and Douglas Hofstadter [Hof79, Hof96], in Benjamin Whorf’s [Who64] linguistic philosophy and Gregory Bateson’s [Bat79] systems theory of mind and nature. Bateson spoke of t
ch actions will help it achieve its goals.” HOUSE_OVERSIGHT_012925 10 1 Introduction This ties in with the ideas of many other thinkers, including Jeff Hawkins’ “memory/ predic- tion” theory [B06], and it also speaks directly to the formal characterization of intelligence presented in Chapter 7: general inte
r robot movement, may be supplied with a knob that can take on values corresponding to multiple possible movements. Following a metaphor suggested by Douglas Hofstadter [Hof96], MOSES learning covers both “knob twiddling” (setting the values of knobs) and “knob creation.” MOSES is invoked within CogPrime in a number
ep 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. Language understanding
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