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

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Bounded Kolmogorov Complexity Based on Cognitive Modelsout of 38 problems, above average human performance, whereas the mathematical software packages Maple, Mathematica, and WolframAlpha scored 9, 9, and 12, respectively. The results obtained and the generalizability of the method suggest that this version of Kolmogorov complexity is a useful tool for pattern discovery in the context of AGI.
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,Reale feste und flüssige Körper,r program analysis and transformations. This paper describes artificial general intelligence from metacomputational point of view. It shows that many methods of metacomputations e.g. supercompilation and Futamura projections can be applied to AGI problems.
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,Reale feste und flüssige Körper,ing imagery and on the inductive learning of an algorithmic structure. We suggest that a fresh look into the small-scale construction processes humans execute would further ideas in categorization, analogy, concept formation, conceptual blending, and related fields of AI.
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,Systeme von Massenpunkten. Stöße,process by which it generates new hypotheses. We address the questions of how to act based on a limited set of theories as well as what an ideal sampling process should be like. Finally, we discuss topics in philosophy of science and cognitive science from the perspective of this framework.
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