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urations that carry out sensorimotor and categorization tasks. The emergence of higher-level cognition from this approach seems rather unlikely. • Ben Kuipers and his colleagues INIK07, MKOS, NIKOalhave pursued an extremely innovative research program which combines qualitative reasoning and reinforcement
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
r the various cognitively-relevant properties of the environment from looking at data about the ev- eryday world. We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction, showing that learning algorithms can infer some basics about the structure of
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
igurations that carry out sensorimotor and categorization tasks. The emergence of higher-level cognition from this approach seems rather unlikely. e Ben Kuipers and his colleagues [MK07, MIX08, MIXO09]have pursued an extremely innovative research program which combines qualitative reasoning and reinforcement
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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