Jon Williamson

According to our database, Jon Williamson authored at least 28 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Determining Maximal Entropy Functions for Objective Bayesian Inductive Logic.

Jürgen Landes, Soroush Rafiee Rad, Jon Williamson

J. Philos. Log., April, 2023

2022

Objective Bayesian Nets for Integrating Consistent Datasets.

Jürgen Landes, Jon Williamson

J. Artif. Intell. Res., 2022

2021

Correction to: Establishing the teratogenicity of Zika and evaluating causal criteria.

Jon Williamson

Synth., 2021

Establishing the teratogenicity of Zika and evaluating causal criteria.

Jon Williamson

Synth., 2021

Towards the entropy-limit conjecture.

Jürgen Landes, Soroush Rafiee Rad, Jon Williamson

Ann. Pure Appl. Log., 2021

2018

Intervention and Identifiability in Latent Variable Modelling.

Jan-Willem Romeijn, Jon Williamson

Minds Mach., 2018

2016

Special issue: Combining probability and logic.

Jürgen Landes, Jon Williamson

J. Appl. Log., 2016

2015

Maximum Entropy Applied to Inductive Logic and Reasoning.

Jürgen Landes, Jon Williamson

Entropy, 2015

Justifying Objective Bayesianism on Predicate Languages.

Jürgen Landes, Jon Williamson

Entropy, 2015

2014

Modelling mechanisms with causal cycles.

Brendan Clarke, Bert Leuridan, Jon Williamson

Synth., 2014

2013

From Bayesian epistemology to inductive logic.

Jon Williamson

J. Appl. Log., 2013

Objective Bayesianism and the Maximum Entropy Principle.

Jürgen Landes, Jon Williamson

Entropy, 2013

2011

Objective Bayesianism, Bayesian conditionalisation and voluntarism.

Jon Williamson

Synth., 2011

2010

Recursive Bayesian Nets for Prediction, Explanation and Control in Cancer Science - A Position Paper.

Lorenzo Casini, Phyllis McKay Illari, Federica Russo, Jon Williamson

Proceedings of the BIOINFORMATICS 2010, 2010

The Philosophy of Science and its relation to Machine Learning.

Jon Williamson

Proceedings of the Scientific Data Mining and Knowledge Discovery, 2010

2009

Aggregating Judgements by Merging Evidence.

Jon Williamson

J. Log. Comput., 2009

Combining Probability and Logic.

Fábio Gagliardi Cozman, Rolf Haenni, Jan-Willem Romeijn, Federica Russo, Gregory R. Wheeler, Jon Williamson

J. Appl. Log., 2009

2008

Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer.

Sylvia B. Nagl, Matthew Williams, Jon Williamson

Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

Possible Semantics for a Common Framework of Probabilistic Logics.

Rolf Haenni, Jan-Willem Romeijn, Gregory R. Wheeler, Jon Williamson

Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Objective Bayesianism with predicate languages.

Jon Williamson

Synth., 2008

Objective Bayesian probabilistic logic.

Jon Williamson

J. Algorithms, 2008

2006

Dispositional versus epistemic causality.

Jon Williamson

Minds Mach., 2006

Introduction.

Jon Williamson

J. Log. Lang. Inf., 2006

Combining Argumentation and Bayesian Nets for Breast Cancer Prognosis.

Matthew Williams, Jon Williamson

J. Log. Lang. Inf., 2006

2005

Objective Bayesian Nets.

Jon Williamson

Proceedings of the We Will Show Them! Essays in Honour of Dov Gabbay, Volume Two, 2005

2004

A Dynamic Interaction Between Machine Learning and the Philosophy of Science.

Jon Williamson

Minds Mach., 2004

2003

Bayesianism and Language Change.

Jon Williamson

J. Log. Lang. Inf., 2003

Special issue on Combining Probability and Logic.

Jon Williamson, Dov M. Gabbay

J. Appl. Log., 2003