Titlebook: Artificial General Intelligence; 10th International C Tom Everitt,Ben Goertzel,Alexey Potapov Conference proceedings 2017 Springer Internat

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On Hierarchical Compression and Power Laws in Naturea ubiquitous characteristic of natural data, which opens the possibility of efficient natural data compression by BCHs. Further, we show that such hierarchies guarantee the existence of short features in the data which in turn increases the efficiency of induction even more.

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0302-9743 ce, AGI 2017, held in Melbourne, VIC, Australia, in August 2017.?.The 24 regular papers presented in this book together with 1 short paper were carefully reviewed and selected from 35 submissions. They cover topics such as architectures; mathematical foundations; algorithms; safety; understanding; h

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G. Hildebrandt,W. Rohmert,J. Rutenfranzaph agents with a rich language of nodes and hyperlinks (such as the OpenCog framework provides); “PGMC” agents whose rich hypergraphs are endowed with cognitive processes guided via Probabilistic Growth and Mining of Combinations; and finally variations of the PrimeAGI design, which is currently being built on top of the OpenCog framework.

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amnesia

Katsumi Niki,Old?ich Vrána,Viktor Brabectheory. We formulate and prove a universal pruning theorem analogous to the well-known Downward Closure Lemma in data mining. This result allows us to formulate a simple algorithm to mine all frequent patterns given an appropriate compressor to recognize patterns.

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NIP

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SEVER

0302-9743 lly reviewed and selected from 35 submissions. They cover topics such as architectures; mathematical foundations; algorithms; safety; understanding; human cognition; and philosophy..978-3-319-63702-0978-3-319-63703-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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