Achieving parametric uniformity for knowledge bases in a relational probabilistic conditional logic with maximum entropy semantics

DOI10.1007/s10472-013-9369-3zbMath1319.68209OpenAlexW1996296091MaRDI QIDQ2254631

Christoph Beierle, Annika Krämer

Publication date: 5 February 2015

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-013-9369-3

zbMATH Keywords

knowledge representationmaximum entropyknowledge baseconditional logicrelational logicprobabilistic logicparametric uniformity

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases

Cites Work

• Foundations of information and knowledge systems. 7th international symposium, FoIKS 2012, Kiel, Germany, March 5--9, 2012. Proceedings
• Representation and extraction of information by probabilistic logic
• Combining probabilistic logic programming with the power of maximum entropy
• Probabilistic logic
• Characterizing the principle of minimum cross-entropy within a conditional-logical framework
• The logic of conditionals. An application of probability to deductive logic
• On first-order conditional logics
• In defense of the maximum entropy inference process
• A logic for reasoning about probabilities
• How to Exploit Parametric Uniformity for Maximum Entropy Reasoning in a Relational Probabilistic Logic
• Relational Probabilistic Conditional Reasoning at Maximum Entropy
• First-order probabilistic conditional logic and maximum entropy
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Reasoning about knowledge and probability
• The Uncertain Reasoner's Companion
• Using Histograms to Better Answer Queries to Probabilistic Logic Programs
• Generalized Iterative Scaling for Log-Linear Models
• Conditionals in nonmonotonic reasoning and belief revision. Considering conditionals as agents
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Achieving parametric uniformity for knowledge bases in a relational probabilistic conditional logic with maximum entropy semantics