References
Beierle C, Kern-Isberner G, Finthammer M, Potyka N (2015) Extending and completing probabilistic knowledge and beliefs without bias. KI Künstliche Intelligenz 29(3):255–262
Beierle C, Krämer A (2015) Achieving parametric uniformity for knowledge bases in a relational probabilistic conditional logic with maximum entropy semantics. Ann Math Artif Intell 73:1–2
Darroch JN, Ratcliff D (1972) Generalized iterative scaling for log-linear models. In: Annals of Mathematical Statistics, vol 43. Institute of Mathematical Statistics, pp 1470–1480
Finthammer M (2017) Concepts and algorithms for computing maximum entropy distributions for knowledge bases with relational probabilistic conditionals. Dissertations in artificial intelligence. IOS Press
Finthammer M, Beierle C (2016) On the relationship between aggregating semantics and FO-PCL grounding semantics for relational probabilistic conditionals. In: Beierle C, Brewka G, Thimm M (eds) Computational models of rationality. Essays Dedicated to Gabriele Kern-Isberner on the Occasion of her 60th Birthday, Tributes, vol 29. College Publications, pp 297–315
Finthammer M, Thimm M (2012) An integrated development environment for probabilistic relational reasoning. Logic J IGPL 20(5):831–871
Fisseler J (2012) First-order probabilistic conditional logic and maximum entropy. Logic J IGPL 20:796–830
Kern-Isberner G (2001) Conditionals in nonmonotonic reasoning and belief revision, LNAI, vol 2087. Springer, New York
Kern-Isberner G, Thimm M (2010) Novel semantical approaches to relational probabilistic conditionals. Proc KR 2010:382–392
Paris JB (1994) The uncertain reasoner’s companion. Cambridge University Press, Cambridge
Thimm M, Kern-Isberner G (2012) On probabilistic inference in relational conditional logics. Logic J IGPL 20(5):872–908
Wilhelm M, Kern-Isberner G, Finthammer M, Beierle C (2018) A generalized iterative scaling algorithm for maximum entropy model computations respecting probabilistic independencies. In: Proceedings of FoIKS-2018
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Finthammer, M. Concepts and Algorithms for Computing Maximum Entropy Distributions for Knowledge Bases with Relational Probabilistic Conditionals. Künstl Intell 33, 97–100 (2019). https://doi.org/10.1007/s13218-018-00572-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13218-018-00572-z