Epstein Secrets

ion and intelligence. It has been tested on some practical control applications, and also on simulating artificial agents in a simple virtual world. MicroPsi's comprehen- siveness and basis in neuroscience and psychology are impressive, but in the current version of MicroPsi, learning and reasoning are ca

nts in a simple virtual world. MicroPsi's comprehen- siveness and basis in neuroscience and psychology are impressive, but in the current version of MicroPsi, learning and reasoning are carried out by algorithms that seem unlikely to scale. OCP incorporates the Psi model for motivation and emotion, so tha

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

tion and intelligence. It has been tested on some practical control applications, and also on simulating artificial agents in a simple virtual world. MicroPsi’s comprehen- siveness and basis in neuroscience and psychology are impressive, but in the current version of MicroPsi, learning and reasoning are car

ents in a simple virtual world. MicroPsi’s comprehen- siveness and basis in neuroscience and psychology are impressive, but in the current version of MicroPsi, learning and reasoning are carried out by algorithms that seem unlikely to scale. OCP incorporates the Psi model for motivation and emotion, so that

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

ut on the big- picture level the main difference lies in the way the cognitive synergy principle is pursued in the two different approaches. Psi and MicroPsi rely on very simple learning algorithms that are closely tied to the "quad" neurosymbolic knowledge representation, and hence interoperate in a fai

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