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ake c to denote algorithmic information measured on some reference Turing machine, and F(X) to denote what appears on the second tape of a two-tape Turing machine t time-steps after placing X on its first tape. Other more naturalistic computational models are also possible here and are discussed extens
on 161 9.2 Some Broad Properties of the Everyday World That Help Structure Intelligence 162 9.3 Embodied Communication 163 9.3.1 Generalizing the Embodied Communication Prior 166 9.4 Naive Physics 166 9.4.1 Objects, Natural Units and Natural Kinds 167 9.4.2 Events, Processes and Causality 168 9.4.3
lready encompassed by Legg and Hutter's definition because one may bias the distribution of environments within the latter by considering different Turing machines underlying the Kohnogorov complexity. However this is not a general equivalence because the Solomonoff-Levin measure intrinsically EFTA006
hypothesis, in order to qualitatively guide our practical AGI R&D and also to motivate further, more rigorous theoretical work. 9.8.1 Generalizing the Embodied Communication Prior One interesting direction for further research would be to broaden the scope of the inquiry, in a manner suggested above: instead of just loo
take c to denote algorithmic information measured on some reference Turing machine, and F(X) to denote what appears on the second tape of a two-tape Turing machine ¢ time-steps after placing X on its first tape. Other more naturalistic computational models are also possible here and are discussed extensi
oad Properties of the Everyday World That Help Structure Intelligence 162 9.3 Embodied Communication..........0.0..0 00000 eee 163 9.3.1 Generalizing the Embodied Communication Prior .................... 166 GA Naive: PRYSIES ws cuews cuews mews (mews Ca Swe wS Ewe WS MEWS EME ws EME wS KEE Lom 166 9.4.1 Objects, Natural Un
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