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ts subgoals, or spend on executing procedures) These various processes are carried out in a manner orchestrated by Domer's Psi model as refined by Joscha Bach (as reviewed in Chapter 4 above), which supplies (among other features) • a specific theory regarding what "demands" should be used to spawn the top
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
definitely not limited to: Stan Franklin, Juergen Schmidhuber, Marcus Rutter, Kai-Uwe Kuehnberger, Stephen Reed, Blerim Enruli, Kristinn Thorisson, Joscha Bach, Abram Demski, hamar Arel, Mark Waser, Randal Koene, Paul Rosenbloom, Zhongzhi Shi, Steve Omohundro, Bill Hibbard, Eray Ozkural, Brandon Rohrer, Be
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
t definitely not limited to: Stan Franklin, Juergen Schmidhuber, Marcus Hutter, Kai-Uwe Kuehnberger, Stephen Reed, Blerim Enruli, Kristinn Thorisson, Joscha Bach, Abram Demski, Itamar Arel, Mark Waser, Randal Koene, Paul Rosenbloom, Zhongzhi Shi, Steve Omohundro, Bill Hibbard, Eray Ozkural, Brandon Rohrer, Ben
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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