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Ben Goertzel with Cassio Pennachin & Nil Geisweiller & the OpenCog Team Engineering General Intelligence, Part 2: The CogPrime Architecture for Integrative, Embodied AGI September 19, 2013 EFTA00624128 EFTA00624129 This book is dedicated by Ben Goertzel to his beloved, departed grandfather, Leo Z
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
g the Brain 6 1.6.4 Evolve an AGI 7 1.6.5 Derive an AGI design mathematically 7 1.6.6 Use heuristic computer science methods 8 1.6.7 Integrative Cognitive Architecture 8 1.6.8 Can Digital Computers Really Be Intelligent? 8 1.7 Five Key Words 9 1.7.1 Memory and Cognition in CogPri
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
rive an AGI design mathematically................0....0.2.00000. 7 1.6.6 Use heuristic computer science methods ............0. 0 ccc cece eee 8 1.6.7 Integrative Cognitive Architecture ............0.0020 000 e eee eee 8 1.6.8 Can Digital Computers Really Be Intelligent? .....................-0. 8 1.7 Five Key
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
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