Epstein Secrets

r vast diversity, not from any single, perfect principle." This perspective was extended in the more recent work The Emotion Machine IMM071, where Minsky argued that emotions are "ways to think" evolved to handle different "problem types" that exist in the world. The brain is posited to have rule-base

fying architecture. For this reason and others, an increasing amount of work in the AI community these days is integrative in one sense or another. Estimation of Distribution Algorithms integrate proba- bilistic reasoning with evolutionary, learning IPe1051. Markov Logic Networks IR DWil integrate formal logic and probabilistic infe

ur vast diversity, not from any single, perfect principle.” This perspective was extended in the more recent work The Emotion Machine [Min07], where Minsky argued that emotions are “ways to think” evolved to handle different “problem types” that exist in the world. The brain is posited to have rule-based

ifying architecture. For this reason and others, an increasing amount of work in the AI community these days is integrative in one sense or another. Estimation of Distribution Algorithms integrate proba- bilistic reasoning with evolutionary learning [Pel05]. Markov Logic Networks [RD06] integrate formal logic and probabilistic inferen

g of how CogPrime is intended to function, and a detailed understanding of the OCF is necessary for doing concrete implementation work on CogPrime. Marvin Minsky, in a personal conversation with one of the authors (Goertzel), once expressed the opinion that a human-level general intelligence could probably be

33 Probabilistic Evolutionary Procedure Learning 215 33.1 Introduction 215 33.1.1 Explicit versus Implicit Evolution in CogPrime 217 33.2 Estimation of Distribution Algorithms 218 33.3 Competent Program Evolution via MOSES 219 33.3.1 Statics 219 33.3.2 Dynamics 222 33.3.3 Architecture 223 33.3.4 Example: Ar