Epstein Secrets

spacetime is necessary for achieving humanlike AGI using feasible resources. As an argument against the necessity of this sort of prior knowledge, Ben Kuipers and his colleagues ISNIK 21 have shown that an AI system can learn via experience that its perceptual stream comes from a world with three, rather

cedure Learning as Program Learning 30.1 Introduction Broadly speaking, the learning of predicates and schemata (executable procedures) is done in CogPrime via a number of different methods, including for example PLN inference and concept predicatization (to be discussed in later chapters). Most of thes

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

f intel- ligence and mind. It then sketches the broad outlines of a novel, integrative architecture for Artificial General Intelligence (AGI) called CogPrime ... and describes an approach for giving a young AGI system (CogPrime or otherwise) appropriate experience, so that it can develop its own smarts,

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

e Sam Adams and his colleagues at IBM have created a cognitive architecture called Joshua Blue IAABL02], which has some significant similarities to CogPrime. Similar to our current research direction with CogPrime, Joshua Blue was created with loose emulation of child cognitive development in mind; and,

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

of intel- ligence and mind. It then sketches the broad outlines of a novel, integrative architecture for Artificial General Intelligence (AGT) called CogPrime ... and describes an approach for giving a young AGI system (CogPrime or otherwise) appropriate experience, so that it can develop its own smarts, cr

er 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 s

ue Sam Adams and his colleagues at IBM have created a cognitive architecture called Joshua Blue [AABLO2], which has some significant similarities to CogPrime. Similar to our current research direction with CogPrime, Joshua Blue was created with loose emulation of child cognitive development in mind; and, a