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dge as hilly as passible. EFTA00624343 Chapter 31 Learning Procedures via Imitation, Reinforcement and Correction Co-authored with Moshe Looks, Samir Araujo and Welter Silva 31.1 Introduction In procedure learning as elsewhere in cognition, it's not enough to use the right algorithm, one has to use it
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
g system, including Linas Vepstas, Joel Pitt, Jared Wigmore / Jade O'Neill, Zhenhua Cal, Deheng Huang, Shujing Ke, Lake Watkins, Alex van der Peet, Samir Araujo, Fabricio Silva, Yang Ye, Shuo Chen, Michel Drenthe, Ted Sanders, Gustavo Gain and of course Nil and Cassio again. Tyler Emerson and Eliezer Yudkow
f intel- ligence and mind. It then sketches the broad outlines of a novel, integrative architecture for Artificial General Intelligence (AGI) called CogPrime ... and describes an approach for giving a young AGI system (CogPrime or otherwise) appropriate experience, so that it can develop its own smarts,
Cog system, including Linas Vepstas, Joel Pitt, Jared Wigmore / Jade O'Neill, Zhenhua Cai, Deheng Huang, Shujing Ke, Lake Watkins, Alex van der Peet, Samir Araujo, Fabricio Silva, Yang Ye, Shuo Chen, Michel Drenthe, Ted Sanders, Gustavo Gama and of course Nil and Cassio again. Tyler Emerson and Eliezer Yudkowsk
of intel- ligence and mind. It then sketches the broad outlines of a novel, integrative architecture for Artificial General Intelligence (AGT) called CogPrime ... and describes an approach for giving a young AGI system (CogPrime or otherwise) appropriate experience, so that it can develop its own smarts, cr
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