Epstein Secrets

tational resources. And as we have argued in detail in Chapter 7, efficiency is not a side-issue but rather the essence of real-world AGI (since as Hutter has shown, if one casts efficiency aside, arbitrary levels of general intelligence can be achieved via a trivially simple program). The essence of

nce with respect to the distribution v over the space of all computable reward-summable environ- ments, E, that is, TOO a L v(Ii)1'; PEE Legg and Hutter's universal intelligence is obtained by setting v equal to the universal distribution. This framework is more flexible than it might seem. E.g. sup

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

formance with respect to the distribution v over the space of all computable reward-summable environ- ments, E, that is, Y(m) = SO vr pew Legg and Hutter’s universal intelligence is obtained by setting v equal to the universal distribution. This framework is more flexible than it might seem. E.g. supp

putational resources. And as we have argued in detail in Chapter 7, efficiency is not a side-issue but rather the essence of real-world AGI (since as Hutter has shown, if one casts efficiency aside, arbitrary levels of general intelligence can be achieved via a trivially simple program). The essence of t

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

rization 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 eee eee 13

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