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

(tv4) ANDLink tv5 = OF2(tvi, tv2, tv3, tv4) Near (self , toy) (tits) The target theorem is "How near I am to the toy if I climb on the pillow." PredictivelmplicationLink Climb_on(pillow) Near(self, toy) (?) And the inference chain as follows 1. Axiom 2 with axiom 1 Near(toy, cupboard_edge) (tv6) 2. Step 1 with a

what this "tuning" should involve - namely, making a system possessing mind-state sequences that correspond meaningfully to world-state sequences. CogPrime's overall design and particular cognitive processes are reasonably well interpreted as an attempt to achieve this for everyday human goals and envir

$imultaneousANDLink which combine logical relation between the argument with temporal relation between their arguments. For instance, we might say PredictivelmplicationLink PredicateNode: JumpOffCliff PredicateNode: Dead or including arguments, PredictivelmplicationLink EvaluationLink JumpOffCliff $X EvaluationLink

ut what this "tuning" should involve — namely, making a system possessing mind-state sequences that correspond meaningfully to world-state sequences. CogPrime’s overall design and particular cognitive processes are reasonably well interpreted as an attempt to achieve this for everyday human goals and enviro

indicates the likelihood of the sequence of events occurring in that order, with gap lying within the specified time interval. The truth value of the PredictivelmplicationLink version indicates the likelihood of the second event, conditional on the occurrence of the first event (within the given time interval restriction).