Cohen and Meskin 2006 recently offered a counterfactual theory of information to replace the standard probabilistic theory of information. They claim that the counterfactual theory fares better than the standard account on three grounds: first, it provides a better framework for explaining information flow properties; second, it requires a less expensive ontology; and third, because it does not refer to doxastic states of the information-receiving organism, it provides an objective basis. In this paper, I show that none of these is (...) really an advantage. Moreover, the counterfactual theory fails to satisfy one of the basic properties of information flow, namely the Conjunction principle. Thus, I conclude, there is no reason to give up the standard probabilistic theory for the counterfactual theory of information. (shrink)

Australasian Journal of Philosophy, Volume 90, Issue 1, Page 183-185, March 2012.

Cross-cultural differences in argumentation may be explained by the use of different norms of reasoning. However, some norms derive from, presumably universal, mathematical laws. This inconsistency can be resolved, by considering that some norms of argumentation, like Bayes theorem, are mathematical functions. Systematic variation in the inputs may produce culture-dependent inductive biases although the function remains invariant. This hypothesis was tested by fitting a Bayesian model to data on informal argumentation from Turkish and English cultures, which linguistically mark evidence quality (...) differently. The experiment varied evidential marking and informant reliability in argumentative dialogues and revealed cross-cultural differences for both independent variables. The Bayesian model fitted the data from both cultures well but there were differences in the parameters consistent with culture-specific inductive biases. These findings are related to current controversies over the universality of the norms of reasoning and the role of normative theories in the psychology of reasoning. (shrink)

This paper presents the algebraic and Kripke modelsoundness and completeness ofa logic over Boolean monoids. An additional axiom added to thelogic will cause the resulting monoid models to be representable as monoidsof relations. A star operator, interpreted as reflexive, transitiveclosure, is conservatively added to the logic. The star operator isa relative modal operator, i.e., one that is defined in terms ofanother modal operator. A further example, relative possibility,of this type of operator is given. A separate axiom,antilogism, added to the logic (...) causes the Kripke models to support acollection of abstract topological uniformities which become concretewhen the Kripke models are dual to monoids of relations. The machineryfor the star operator is shownto be a recasting of Scott-Montague neighborhood models. An interpretationof the Kripke frames and properties thereof is presented in terms ofcertain CMOS transister networks and some circuit transformation equivalences.The worlds of the Kripke frame are wires and the Kripke relation is a specializedCMOS pass transistor network. (shrink)

In the standard and traditional view, the concept of conditional probability is defined with what is known as the ratio formula: the probability of B given A is the ratio between the probability of A and B and the probability of A. It is well known that this definition does not match the conceptual and mathematical expectations that we have from conditional probability, especially for the probability values at the limits. Thus, as pointed out by several philosophers such as Popper (...) and Hájek, it is fair to conclude that we have yet to have a satisfactory definition for the concept of conditional probability. E.J. Lowe, in a debate with Dorothy Edgington, proposed two different definitions of conditional probability, and unfortunately his definitions have gone unnoticed in the literature. In this paper, my main aim is to renew interest in Lowe’s definitions. I achieve this aim by showing that E.J. Lowe’s definitions have great potential in providing us with a satisfactory definition of conditional probability.Standard Olasılık kuramında bir olayın bir diğer olaya koşullu olasılığı rasyo formülü olarak bilinen bir formül ile tanımlanmaktadır. Bu formüle göre B olayının A olayına koşullu olasılığı olayının olasığının sadece A olayının olasılığına bölünmesi ile bulunan değerdir. Bu standard tanımın özellikle limitlerdeki olasılık değerleri için kavramsal ve matematiksel beklentilerimizi karşılamadığı bilinen bir durumdur. Aralarında Popper ve Hájek gibi isimlerin de bulunduğu birçok felsefecinin de belirttiği gibi, bu durumdan elimizde tatmin edici bir koşullu olasılık tanımı olmadığını çıkarsamak yanlış olmayacaktır. E.J. Lowe, Dorothy Edgington ile girdiği bir tartışma bağlamında koşullu olasılığın iki alternatif tanımını önermiştir. Ne yazık ki, literatürde bu tanımlara gereken önem verilmemiştir. Literatürdeki bu eksikliği gidermeyi hedefleyen bu makalenin genel amacı, Lowe’ün önerilerinin tatmin edici bir koşullu olasılık tanımı sunma potansiyeline sahip olduğunu göstermektir. (shrink)

This article introduces this special issue of Knowledge, Technology and Policy. It also explains why Luciano Floridi’s Philosophy of Technology is chosen as the topic of the special issue.