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

for building steps available, finding some other way to get elevated will be a good idea that may help it get the object 6.3.1 lb-ansitioning from Virtual Agents to a Physical Robot Preliminary experiments have also been conducted using OpenCog to control a Nao robot as well as a virtual dog HIG081. This inv

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

ls for building steps available, finding some other way to get elevated will be a good idea that may help it get the object 6.3.1 Transitioning from Virtual Agents to a Physical Robot Preliminary experiments have also been conducted using OpenCog to control a Nao robot as well as a virtual dog [GdGO08]. This in

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

ime .......... 0.00.00 eee eee eee eee 107 6.3 Current and Prior Applications of OpenCog ..............0..0 022 eee eee 108 6.3.1 Transitioning from Virtual Agents to a Physical Robot ................ 110 6.4 Memory Types and Associated Cognitive Processes in CogPrime ............. 110 6.4.1 Cognitive Synergy i