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

Objects, Natural Units and Natural Kinds 167 9.4.2 Events, Processes and Causality 168 9.4.3 Stuffs, States of Matter, Qualities 168 9.4.4 Surfaces, Limits, Boundaries, Media 168 9.4.5 What Kind of Physics Is Needed to Foster Human-like Intelligence? 169 9.5 Folk Psychology 170 9.5.1 Motivation, Requiredn

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

vents, Processes and Causality ........... 00... c cece ee eee 168 9.4.3 Stuffs, States of Matter, Qualities....... 0... 0. eee eee eee eee 168 9.4.4 Surfaces, Limits, Boundaries, Media .......... 0.0.0.0 cece eee eee eee 168 9.4.5 What Kind of Physics Is Needed to Foster Human-like Intelligence?..... 169 9.5 Folk Psychology

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

ness, graininess, stickiness, runniness, etc. 4. Distinguishing degrees of elasticity and fragility 5. Assessing separability of aggregates 9.4.4 Surfaces, Limits, Boundaries, Media Gibson IGit)77, Gil)791 has argued that naive physics is not mainly about objects but rather mainly about surfaces. Surfaces have a variety

but 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 fairl

hness, graininess, stickiness, runniness, etc. 4, Distinguishing degrees of elasticity and fragility 5. Assessing separability of aggregates 9.4.4 Surfaces, Limits, Boundaries, Media Gibson [Gib77, Gib79] has argued that naive physics is not mainly about objects but rather mainly about surfaces. Surfaces have a variety of