Epstein Secrets

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

promising programs as collections of knob settings, generate new col- lections of knob settings by applying some (competent) optimization algorithm. c. Convert the new collections of knob settings into their corresponding programs, reduce the programs to normal form, evaluate their fltnesss, and integrate t

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,

that makes use of the system's memory in its choices, consulting PLN inference to help estimate which collections of knob settings will work best. c. Convert the new collections of knob settings into their corresponding programs, re- duce the programs to normal form, evaluate their scores. and integrate th

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

m that makes use of the system’s memory in its choices, consulting PLN inference to help estimate which collections of knob settings will work best. c. Convert the new collections of knob settings into their corresponding programs, re- duce the programs to normal form, evaluate their scores, and integrate th