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Semantic Hypergraphs
The central idea of our approach is the Semantic Hypergraph (SH), a novel knowledge representation model that is intrinsically recursive and accommodates the natural hierarchical richness of natural language.
Automatic Discovery of Families of Network Generative Processes
Designing plausible network models typically requires scholars to form a priori intuitions on the key drivers of network formation.
Non-Evolutionary Superintelligences Do Nothing, Eventually
There is overwhelming evidence that human intelligence is a product of Darwinian evolution.
Symbolic regression of generative network models
Networks are a powerful abstraction with applicability to a variety of scientific fields.
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