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ble movements. Following a metaphor suggested by Douglas Hofstadter MOSES learning covers both "knob twid
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
mpo- rary philosophers Daniel Dennett [Den91] and Douglas Hofstadter [Hof79, Hof96], in Benjamin Whorf’s [W
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
ible movements. Following a metaphor suggested by Douglas Hofstadter [Hof96], MOSES learning covers both “k
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
xplain. In his “Parable of the Sentient Puddle,” Douglas Adams describes a puddle that wakes up in the mor
Andrew Ng’s statement that it’s “like worrying about overpopulation on Mars.” This appeals to a convenient analogy: Not only is the * AI researcher Jeff Hawkins, for example, writes, “Some intelligent machines will be virtual, meaning they will exist and act solely within computer networks. .. . It is always
xplain. In his “Parable of the Sentient Puddle,” Douglas Adams describes a puddle that wakes up in the mor
Andrew Ng’s statement that it’s “like worrying about overpopulation on Mars.” This appeals to a convenient analogy: Not only is the ? AI researcher Jeff Hawkins, for example, writes, “Some intelligent machines will be virtual, meaning they will exist and act solely within computer networks. .. . It is always
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