
47Forecasting in Light of Big DataPhilosophy and Technology 31 (4): 557569. 2018.Predicting the future state of a system has always been a natural motivation for science and practical applications. Such a topic, beyond its obvious technical and societal relevance, is also interesting from a conceptual point of view. This owes to the fact that forecasting lends itself to two equally radical, yet opposite methodologies. A reductionist one, based on first principles, and the naïveinductivist one, based only on data. This latter view has recently gained some attention in respon…Read more

13Convex MVAlgebras: ManyValued Logics Meet Decision TheoryStudia Logica 106 (5): 913945. 2018.This paper introduces a logical analysis of convex combinations within the framework of Łukasiewicz realvalued logic. This provides a natural link between the fields of manyvalued logics and decision theory under uncertainty, where the notion of convexity plays a central role. We set out to explore such a link by defining convex operators on MValgebras, which are the equivalent algebraic semantics of Łukasiewicz logic. This gives us a formal language to reason about the expected value of boun…Read more

16Book review: in defence of objective bayesianism (review)Minds and Machines 23 (2): 255258. 2013.

19Makinson David. Bridges from classical to nonmonotonic logic. Text in Computing, vol. 5. King's College, London, 2005, xvi+ 216 pp (review)Bulletin of Symbolic Logic 12 (3): 499502. 2006.

59Interpretation, coordination and conformityIn Ondrej Majer, AhtiVeikko Pietarinen & Tero Tulenheimo (eds.), Games: Unifying Logic, Language, and Philosophy, Springer Verlag. pp. 3755. 2009.

51Rationality As ConformitySynthese 144 (2): 249285. 2005.We argue in favour of identifying one aspect of rational choice with the tendency to conform to the choice you expect another likeminded, but noncommunicating, agent to make and study this idea in the very basic case where the choice is from a nonempty subset K of 2 A and no further structure or knowledge of A is assumed.

14Machine learning from examples: A noninductivist analysisLogic and Philosophy of Science 3 (1): 131. 2005.

22Jon Williamson: In Defence of Objective Bayesianism: Oxford University Press, Oxford, 2010, vi+185, $85.00 , ISBN 9780199228003 (review)Minds and Machines 23 (2): 255258. 2013.

82Secondorder uncertainty, also known as model uncertainty and Knightian uncertainty, arises when decisionmakers can (partly) model the parameters of their decision problems. It is widely believed that subjective probability, and more generally Bayesian theory, are illsuited to represent a number of interesting secondorder uncertainty features, especially “ignorance” and “ambiguity”. This failure is sometimes taken as an argument for the rejection of the whole Bayesian approach, triggering a B…Read more

6Bridges from classical to nonmonotonic logic (review)Bulletin of Symbolic Logic 12 (3): 499502. 2006.

Jon Williamson: In Defence of Objective Bayesianism: Oxford University Press, Oxford, 2010, vi+ 185, $85.00 (hard), ISBN 9780199228003 (Book Review) (review)Minds and Machines 23 (2): 255258. 2013.
Areas of Interest
Epistemology 
Logic and Philosophy of Logic 
Philosophy of Probability 