Markov Logic Networks Asymptotics Explored in New Research

Researchers have analyzed the asymptotic behavior of Markov logic networks (MLNs) as their domain size approaches infinity. The study demonstrates that under mild assumptions, MLNs with positive-weight soft constraints will diverge from uniform distributions for sufficiently large domains. For languages with relation symbols of arity 1, the research provides a characterization of MLN asymptotic behaviors, showing that MLNs and lifted Bayesian networks can define different distributions on structures. AI

RANK_REASON This is a research paper published on arXiv detailing theoretical analysis of Markov logic networks. [lever_c_demoted from research: ic=1 ai=1.0]

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• Markov logic network
• Vera Koponen

• paper
• other

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