Jon Williamson

30 papers Journal 25Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A decidable class of inferences in first-order objective Bayesian inductive logic.
Ann. Pure Appl. Log.
Jürgen Landes, Soroush Rafiee Rad, Jon Williamson
2025 J jnl
Explainable AI: definition and attributes of a good explanation for health AI.
AI Ethics
Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, Zane B. Perkins, David A. Lagnado, William Marsh, Alexander Gimson, Ali Shafti, Ari Ercole, Amitava Banerjee, Ben Glocker, Burkhard Schafer, Constantine Gatsonis, Crina Grosan, Danielle Sent, David S. Berman, David Glass, Declan P. O'Regan, Dimitrios Letsios, Dylan Morrissey, Erhan Pisirir, Francesco Leofante, Hamit Soyel, Jon Williamson, Keri Grieman, Kudakwashe Dube, Max Marsden, Myura Nagendran, Nigel Tai, Olga Kostopoulou, Owain Jones, Paul Curzon, Rebecca S. Stoner, Sankalp Tandle, Shalmali Joshi, Somayyeh Mossadegh, Stefan Buijsman, Tim Miller, Vince Istvan Madai
2023 J jnl
Determining Maximal Entropy Functions for Objective Bayesian Inductive Logic.
J. Philos. Log.
Jürgen Landes, Soroush Rafiee Rad, Jon Williamson
2022 J jnl
Objective Bayesian Nets for Integrating Consistent Datasets.
J. Artif. Intell. Res.
Jürgen Landes, Jon Williamson
2021 J jnl
Correction to: Establishing the teratogenicity of Zika and evaluating causal criteria.
Synth.
Jon Williamson
2021 J jnl
Establishing the teratogenicity of Zika and evaluating causal criteria.
Synth.
Jon Williamson
2021 J jnl
Towards the entropy-limit conjecture.
Ann. Pure Appl. Log.
Jürgen Landes, Soroush Rafiee Rad, Jon Williamson
2018 J jnl
Intervention and Identifiability in Latent Variable Modelling.
Minds Mach.
Jan-Willem Romeijn, Jon Williamson
2016 J jnl
Special issue: Combining probability and logic.
J. Appl. Log.
Jürgen Landes, Jon Williamson
2015 J jnl
Justifying Objective Bayesianism on Predicate Languages.
Entropy
Jürgen Landes, Jon Williamson
2015 J jnl
Maximum Entropy Applied to Inductive Logic and Reasoning.
Entropy
Jürgen Landes, Jon Williamson
2014 J jnl
Modelling mechanisms with causal cycles.
Synth.
Brendan Clarke, Bert Leuridan, Jon Williamson
2013 J jnl
From Bayesian epistemology to inductive logic.
J. Appl. Log.
Jon Williamson
2013 J jnl
Objective Bayesianism and the Maximum Entropy Principle.
Entropy
Jürgen Landes, Jon Williamson
2011 J jnl
Objective Bayesianism, Bayesian conditionalisation and voluntarism.
Synth.
Jon Williamson
2010 — conf
Recursive Bayesian Nets for Prediction, Explanation and Control in Cancer Science - A Position Paper.
BIOINFORMATICS
Lorenzo Casini, Phyllis McKay Illari, Federica Russo, Jon Williamson
2010 — ch.
The Philosophy of Science and its relation to Machine Learning.
Scientific Data Mining and Knowledge Discovery
Jon Williamson
2009 J jnl
Aggregating Judgements by Merging Evidence.
J. Log. Comput.
Jon Williamson
2009 J jnl
Combining Probability and Logic.
J. Appl. Log.
Fábio Gagliardi Cozman, Rolf Haenni, Jan-Willem Romeijn, Federica Russo, Gregory R. Wheeler, Jon Williamson
2008 — ch.
Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer.
Innovations in Bayesian Networks
Sylvia B. Nagl, Matthew Williams, Jon Williamson
2008 J jnl
Objective Bayesian probabilistic logic.
J. Algorithms
Jon Williamson
2008 J jnl
Objective Bayesianism with predicate languages.
Synth.
Jon Williamson
2008 — ch.
Possible Semantics for a Common Framework of Probabilistic Logics.
Interval / Probabilistic Uncertainty and Non-Classical Logics
Rolf Haenni, Jan-Willem Romeijn, Gregory R. Wheeler, Jon Williamson
2006 J jnl
Combining Argumentation and Bayesian Nets for Breast Cancer Prognosis.
J. Log. Lang. Inf.
Matthew Williams, Jon Williamson
2006 J jnl
Dispositional versus epistemic causality.
Minds Mach.
Jon Williamson
2006 J jnl
Introduction.
J. Log. Lang. Inf.
Jon Williamson
2005 — conf
Objective Bayesian Nets.
We Will Show Them! (2)
Jon Williamson
2004 J jnl
A Dynamic Interaction Between Machine Learning and the Philosophy of Science.
Minds Mach.
Jon Williamson
2003 J jnl
Bayesianism and Language Change.
J. Log. Lang. Inf.
Jon Williamson
2003 J jnl
Special issue on Combining Probability and Logic.
J. Appl. Log.
Jon Williamson, Dov M. Gabbay