Epstein Secrets

, dealing with with a variety of general conceptual issues related to the engineering of advanced AGI, as well as presenting a brief overview of the CogPrime design for Artificial General Intelligence. Now here in Part 2 we plunge deep into the nitty-gritty, and describe the multiple aspects of the CogPr

d as True if execution is successful, and False otherwise. And, analogously to the Graph operator for Schemallodes, we have for PredicateNodes the SatisfyingSet operator, defined so that the SatisfyingSet of a predicate is the set whose members are the elements that satisfy the predicate. Formally, that is:

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

PLN performs the translation from Evaluation into Inheritance form via the inference steps Evaluation contains (Tree° Image4) --> \\ definition of SatisfyingSet Member Image4 (SatisfyingSet (Evaluation contains(Tree0 *)) ) -- \\ definition of hasTreeO Member Image4 hasTree0 --> \\ M2I, Member to Inheritan

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

n by ExtensionalEquivalenceLink ConceptNode: EatingEvents SatisfyingSetLink PredicateNode: eat In other words, we say that "EatingEvents" is the SatisfyingSet of the predicate "eat": it is the set of entities that satisfy the predicate "eat". Note that the truth values of MemberLink and EvaluationLink are

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

ven by ExtensionalEquivalenceLink ConceptNode: EatingEvents SatisfyingSetLink PredicateNode: eal In other words, we say that "EatingEvents" is the SatisfyingSet of the predicate "eat": it is the set of entities that satisfy the predicate "eat". Note that the truth values of MemberLink and EvaluationLink are f