-
16Teaching & Learning Guide for: Mechanistic Theories of CausalityPhilosophy Compass 6 (6): 445-447. 2011.
-
15A Bayesian Account of EstablishingBritish Journal for the Philosophy of Science 73 (4): 903-925. 2022.When a proposition is established, it can be taken as evidence for other propositions. Can the Bayesian theory of rational belief and action provide an account of establishing? I argue that it can, but only if the Bayesian is willing to endorse objective constraints on both probabilities and utilities, and willing to deny that it is rationally permissible to defer wholesale to expert opinion. I develop a new account of deference that accommodates this latter requirement.
-
10this paper we argue that the formalism can also be applied to modelling the hierarchical structure of physical mechanisms. The resulting network contains quantitative information about probabilities, as well as qualitative information about mechanistic structure and causal relations. Since information about probabilities, mechanisms and causal relations are vital for prediction, explanation and control respectively, a recursive Bayesian net can be applied to all these tasks. We show how a Recurs…Read more
-
10Interpretations of probabilityIn Jon Williamson & Federica Russo (eds.), Key Terms in Logic, . pp. 81. 2010.Key Terms in Logic offers the ideal introduction to this core area in the study of philosophy, providing detailed summaries of the important concepts in the study of logic and the application of logic to the rest of philosophy. A brief introduction provides context and background, while the following chapters offer detailed definitions of key terms and concepts, introductions to the work of key thinkers and lists of key texts. Designed specifically to meet the needs of students and assuming no p…Read more
-
10Predicting “it will work for us”: (way) beyond statisticsIn Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences, . 2011.
-
9This paper discusses the issue of overriding the right of individual consent to participation in cluster randomised trials (CRTs). We focus on CRTs testing the efficacy of non-pharmaceutical interventions. As an example, we consider school closures during the COVID-19 pandemic. In Norway, a CRT was promoted as necessary for providing the best evidence to inform pandemic management policy. However, the proposal was rejected by the Norwegian Research Ethics Committee since it would violate the req…Read more
-
8Richard JeffreyIn Jon Williamson & Federica Russo (eds.), Key Terms in Logic, . pp. 129. 2010.Key Terms in Logic offers the ideal introduction to this core area in the study of philosophy, providing detailed summaries of the important concepts in the study of logic and the application of logic to the rest of philosophy. A brief introduction provides context and background, while the following chapters offer detailed definitions of key terms and concepts, introductions to the work of key thinkers and lists of key texts. Designed specifically to meet the needs of students and assuming no p…Read more
-
8From bayesianism to the epistemic view of mathematics: Richard Jeffrey. Subjective probability: The real thing. Cambridge: Cambridge university press, 2004. Isbn 0-521-82971-2 , 0-521-53668-5 . Pp. XVI + 124 (review)Philosophia Mathematica 14 (3): 365-369. 2006.
-
8Review of Lorenzo Magnani: 'Abduction, Reason and Science: Processes of Discovery and Explanation' (review)British Journal for the Philosophy of Science 54 (2): 353-358. 2003.
-
8Objective Bayesian nets for integrating consistent datasetsJournal of Artificial Intelligence Research 74 393-458. 2022.This paper addresses a data integration problem: given several mutually consistent datasets each of which measures a subset of the variables of interest, how can one construct a probabilistic model that fits the data and gives reasonable answers to questions which are under-determined by the data? Here we show how to obtain a Bayesian network model which represents the unique probability function that agrees with the probability distributions measured by the datasets and otherwise has maximum en…Read more
-
7Key Terms in Logic (edited book)Continuum Press. 2010.An accessible guide for those facing the study of Logic For The first time, this book covers key thinkers, terms and texts.
-
7Correction to: Establishing the teratogenicity of Zika and evaluating causal criteriaSynthese 198 (Suppl 10): 2519-2519. 2018.Table 4 in original article has been corrected.
-
7Probabilistic logicIn Jon Williamson & Federica Russo (eds.), Key Terms in Logic, . pp. 57. 2010.Key Terms in Logic offers the ideal introduction to this core area in the study of philosophy, providing detailed summaries of the important concepts in the study of logic and the application of logic to the rest of philosophy. A brief introduction provides context and background, while the following chapters offer detailed definitions of key terms and concepts, introductions to the work of key thinkers and lists of key texts. Designed specifically to meet the needs of students and assuming no p…Read more
-
5ProbabilityIn Jon Williamson & Federica Russo (eds.), Key Terms in Logic, . pp. 80. 2010.Key Terms in Logic offers the ideal introduction to this core area in the study of philosophy, providing detailed summaries of the important concepts in the study of logic and the application of logic to the rest of philosophy. A brief introduction provides context and background, while the following chapters offer detailed definitions of key terms and concepts, introductions to the work of key thinkers and lists of key texts. Designed specifically to meet the needs of students and assuming no p…Read more
-
4Metabolism is a set of chemical reactions, used by living organisms to process chemical compounds in order to take energy and eliminate toxic compounds, for example. Its processes are referred as metabolic pathways. Understanding metabolism is imperative to biology, toxicology and medicine, but the number and complexity of metabolic pathways makes this a difficult task. In our paper, we investigate the use of causal Bayesian networks to model the pathways of yeast saccharomyces cerevisiae metabo…Read more
-
3The feasibility and malleability of EBM+Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 36 (2): 191-209. 2021.The EBM+ programme is an attempt to improve the way in which present-day evidence-based medicine (EBM) assesses causal claims: according to EBM+, mechanistic studies should be scrutinised alongside association studies. This paper addresses two worries about EBM+: (i) that it is not feasible in practice, and (ii) that it is too malleable, i.e., its results depend on subjective choices that need to be made in order to implement the procedure. Several responses to these two worries are considered a…Read more
-
2BayesianismIn Jon Williamson & Federica Russo (eds.), Key Terms in Logic, . pp. 27. 2010.Key Terms in Logic offers the ideal introduction to this core area in the study of philosophy, providing detailed summaries of the important concepts in the study of logic and the application of logic to the rest of philosophy. A brief introduction provides context and background, while the following chapters offer detailed definitions of key terms and concepts, introductions to the work of key thinkers and lists of key texts. Designed specifically to meet the needs of students and assuming no p…Read more
-
1According to objective Bayesianism, an agent’s degrees of belief should be determined by a probability function, out of all those that satisfy constraints imposed by background knowledge, that maximises entropy. A Bayesian net offers a way of efficiently representing a probability function and efficiently drawing inferences from that function. An objective Bayesian net is a Bayesian net representation of the maximum entropy probability function. In this paper we apply the machinery of objective …Read more
-
Why look at Causality in the Sciences?In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences, Oxford University Press. 2011.
-
Probabilistic TheoriesIn Helen Beebee, Christopher Hitchcock & Peter Menzies (eds.), The Oxford Handbook of Causation, Oxford University Press. 2009.