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(2010) Model-based reasoning in science and technology, Dordrecht, Springer.
Epidemiological investigations very often allow saying with certainty that there is a relation between a macrophenomenon F and a certain value of increase or decrease of a certain pathology P. The abductive inference which leads to such a conclusion, however, does not allow establishing which cases of the pathology P are actually caused by cases of F and which are not. Given that in order to establish penal responsibility in most Western countries the law requires that there is a causal relation among token - events (which here we will identify with so-called Kim-events) it is frequently argued that in such cases no causal relation, and a fortiori no penal responsibility, can be properly established. The problem will be examined with the tools of quantified conditional logic. The aim of the paper is to argue that identifying a causal relation in which causes and effects are at a different level of determination does not prevent establishing penal responsibilities.
Publication details
DOI: 10.1007/978-3-642-15223-8_15
Full citation:
Pizzi, C. (2010)., Causal abduction and alternative assessment: a logical problem in penal law, in L. Magnani, W. Carnielli & C. Pizzi (eds.), Model-based reasoning in science and technology, Dordrecht, Springer, pp. 275-289.
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