Formalization of the semantics of generics has been considered extremely challenging for their inherent vagueness and context-dependence that hinder a single fixed truth condition. The present study suggests a way to formalize the semantics of generics by constructing flexible acceptance conditions with comparative probabilities. Findings from our in-depth psycholinguistic experiment show that two comparative probabilities—cue validity and prevalence—indeed construct the flexible acceptance conditions for generics in a systematic manner that can be applied to a diverse types of generics: Acceptability of (...) IS_A relational generics is mostly determined by prevalence without interaction with cue validity; feature-describing generics are endorsed acceptable with high cue validity, albeit mediated by prevalence; and acceptability of feature-describing generics with low cue validity is mostly determined by prevalence irrespective of cue validity. Such systematic patterns indicate a great potential for the formalization of the semantics of generics. (shrink)

Proceedings of Philosophical Festival Drift 2014. Theme: Under Influence. Includes lectures by Katrien Schaubroeck, Philippe Descola, Markus Gabriel, Ray Brassier, Francesco Berto, Henk Oosterling, and Tomáš Sedlácek (among others). Lectures are in Dutch or English.

Investigations into inter-level relations in computer science, biology and psychology call for an *empirical* turn in the philosophy of mind. Rather than concentrate on *a priori* discussions of inter-level relations between 'completed' sciences, a case is made for the actual study of the way inter-level relations grow out of the developing sciences. Thus, philosophical inquiries will be made more relevant to the sciences, and, more importantly, philosophical accounts of inter-level relations will be testable by confronting them with what really happens (...) in science. Hence, close observation of the ever-changing reduction relations in the developing sciences, and revision of philosophical positions based on these empirical observations, may, in the long run, be more conducive to an adequate understanding of inter-level relations than a traditional *a priori* approach. (shrink)

Review of Johan de Jong, The Movement of Showing: Indirect Method, Critique, and Responsibility in Derrida, Hegel, and Heidegger (New York: SUNY, 2020).

In dit artikel onderzoek ik of de standaardbenaderingen van burgerschapsonderwijs in de Lage Landen geschikt zijn om jonge mensen voor te bereiden om de huidige politieke realiteiten tegemoet te treden, laat staan om onrecht te bestrijden. Ik laat zien waarom een nadruk op ‘democratische principes’ of de rechtsstaat de status quo waarschijnlijk niet zal veranderen zolang opvoeders er niet in slagen de aandacht voor de waarheid te cultiveren die nodig is om te kunnen oordelen over rivaliserende normatieve claims. Met (...) name op tolerantie gebaseerde interpretaties van burgerschap zullen weinig bereiken in afwezigheid van burgerlijke deugden – vooral moreel oordelen en morele moed – die nodig zijn voor dissent. Dissent omvat minimaal een bereidheid om de waarheid te spreken tegen de macht. Maar het ernstigste probleem betreffende burgerschapsonderwijs op school betreft de legitimiteit ervan, gegeven dat dat onderwijs gebaseerd is op een door de overheid opgelegd curriculum met als doel een gewenste respons op de boodschap ervan op te leggen en te conditioneren. Daardoor staat het per definitie vijandig tegenover dissent. (shrink)

This article explains Kant’s claim that sciences must take, at least as their ideal, the form of a ‘system’. I argue that Kant’s notion of systematicity can be understood against the background of de Jong & Betti’s Classical Model of Science (2010) and the writings of Georg Friedrich Meier and Johann Heinrich Lambert. According to my interpretation, Meier, Lambert, and Kant accepted an axiomatic idea of science, articulated by the Classical Model, which elucidates their conceptions of systematicity. I show that (...) Kant’s critique of the mathematical method is compatible with his adherence to this axiomatic conception of science. I further show that systematicity furthers traditionally accepted logical ideals of scientific knowledge, which explains why Meier and Kant think that sciences must be ‘systematic’. (shrink)

Discerning the decisionmaking of Kim Jong-Un and the North Korean regime on issues of peaceful engagement and warlike actions endures as a mighty challenge for U.S. intelligence analysts and policymakers. In this report, we seek to inform analysis of Democratic People’s Republic of Korea (DPRK) leadership decisionmaking. To do so, we use three discussion papers that were written to facilitate discussion of an interagency working group. The three papers are assembled here in a single report. The first discussion paper describes (...) decisionmaking among different authoritarian regimes, including North Korea, and the opening up of those economies to outside engagement. The second paper outlines two different scenarios that might occur when conventional deterrence on the Korean Peninsula breaks down and the resulting decisions that North Korea’s leadership could face. The third paper assesses DPRK decisionmaking about nuclear weapon use. The report concludes with some observations, drawn from the issues covered in these three discussion papers, about DPRK decisionmaking and stability on the Korean Peninsula. (shrink)

Seeing how the idea of the ‘ruler cult’ and the necessary ‘myth-making’ to establish it exists to this day, as seen with the regime of a 21st century dictator like Kim Jong-il, it would be most interesting to see what parallels exist between cases of divine leadership and what we might learn about our contemporary cult rulers when looking at the dynamics of the two-millennia-old cult of the deified Emperor Augustus. As such, I have formulated a central question that focuses (...) on the reign of Divus Augustus, and in doing so provides opportunity to extrapolate from it new insights in similar but contemporary figures of leadership. A clear case of 'to understand motives in the present, one must look at actions in the past.'. (shrink)

Philosophers of psychology debate, among other things, which psychological models, if any, are (or provide) mechanistic explanations. This should seem a little strange given that there is rough consensus on the following two claims: 1) a mechanism is an organized collection of entities and activities that produces, underlies, or maintains a phenomenon, and 2) a mechanistic explanation describes, represents, or provides information about the mechanism producing, underlying, or maintaining the phenomenon to be explained (i.e. the explanandum phenomenon) (Bechtel and Abrahamsen (...) 2005; Craver 2007). If there is a rough consensus on what mechanisms are and that mechanistic explanations describe, represent, or provide information about them, then how is there no consensus on which psychological models are (or provide) mechanistic explanations? Surely the psychological models that are mechanistic explanations are the models that describe, represent, or provide information about mechanisms. That is true, of course; the trouble arises when determining what exactly that involves. Philosophical disagreement over which psychological models are mechanistic explanations is often disagreement about what it means to describe, represent, or provide information about a mechanism, among other things (Hochstein 2016; Levy 2013). In addition, one's position in this debate depends on a host of other seemingly arcane metaphysical issues, such as the nature of mechanisms, computational and functional properties (Piccinini 2016), and realization (Piccinini and Maley 2014), as well as the relation between models, methodologies, and explanations (Craver 2014; Levy 2013; Zednik 2015). Although I inevitably advocate a position, my primary aim in this chapter is to spell out all these relationships and canvas the positions that have been taken (or could be taken) with respect to mechanistic explanation in psychology, using dynamical systems models and cognitive models (or functional analyses) as examples. (shrink)