Titlebook: Artificial General Intelligence; 6th International Co Kai-Uwe Kühnberger,Sebastian Rudolph,Pei Wang Conference proceedings 2013 Springer-Ve

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aristocracy

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Integrating Feature Selection into Program Learninga preliminary “feature selection“ step. However, this approach will not work if one wishes to apply program learning as a key component of an AGI system, because there is no generally applicable feature selection heuristic, and in an AGI context one cannot assume a human cleverly tuning the feature

審問

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Knowledge Representation, Learning, and Problem Solving for General Intelligencegrated. To make the research tractable, a good approach is to address these issues in a simplified micro-environment that nevertheless engages all the issues from perception to action. We describe a domain independent and scalable representational scheme and a computational process encoded in a comp

BILE

Metacomputations and Program-Based Knowledge Representationovides information about evolution of a system in time. Therefore, programs can be considered the most universal data structures. The main problem with such representation is that it is much more difficult to deal with programs than with usual data structures. Metacomputations are a powerful tool fo

resuscitation