2,202 research outputs found

    Hart and the Metaphysics and Semantics of Legal Normativity

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    A number of philosophers in recent years have maintained that H.L.A. Hart in "The Concept of Law" propounded an expressivist account of the semantics of the legal statements that are uttered from the internal viewpoint of the people who run the institutions of legal governance in any jurisdiction. Although the primary aim of this article is to attack the attribution of that semantic doctrine to Hart, the article will begin with some metaphysical matters – the matters of reductionism and naturalism – that often lie behind the development of expressivist approaches to the semantics of normative discourse. After briefly exploring those metaphysical concerns (to which I will return later), the article will begin its main discussion by rehearsing the distinction between the semantics and the pragmatics of utterances. It will then delineate the doctrine of expressivism which the aforementioned philosophers have in mind when they ascribe that doctrine to Hart. Although I will make reference to a few such philosophers, I will focus chiefly on an article by Kevin Toh that has been the fountainhead of all the subsequent attributions of expressivism to Hart. As will be argued herein, Toh and like-minded philosophers have gone astray in imputing to Hart a semantic version of expressivism. Notwithstanding that Hart’s theory of law can aptly be characterized as expressivist, that characterization is appropriate only when expressivism is understood as an account of the pragmatics of legal statements rather than as an account of their semantics

    Replies to the Symposium Articles on LIBERALISM WITH EXCELLENCE

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    This article replies to seven other articles in which some major philosophers engage with my 2017 book LIBERALISM WITH EXCELLENCE

    On Political Morality and the Conditions for Warranted Self-Respect

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    In my recent book Liberalism with Excellence (2017: chapter 7), I have expounded at length a conception of warranted self-respect. That conception, which draws heavily though far from uncritically on the scattered passages about self-respect in the writings of John Rawls, is central to my defense of a variety of liberalism that combines and transfigures certain aspects of Rawlsianism and perfectionism. However, it is also central to the positions taken in some earlier books of mine on capital punishment and torture. (Kramer, The ethics of capital punishment, Oxford University Press, Oxford, 2011; Torture and moral integrity, Oxford University Press, Oxford, 2014) Although my understanding of warranted self-respect was presented far more briefly or obliquely in each of those earlier books than in Liberalism with Excellence, it in fact underlies both my limited defense of the death penalty and my absolutist insistence that the use of interrogational torture is never morally permissible. The present paper will recount the gist of my conception of warranted self-respect and will then explain how that conception figures pivotally in my ruminations on the diverse matters of political morality that have been mentioned here.Non

    There's Nothing Quasi about Quasi-Realism: Moral Realism as a Moral Doctrine

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    This paper seeks to clarify and defend the proposition that moral realism is best elaborated as a moral doctrine. I begin by upholding Ronald Dworkin’s anti-Archimedean critique of the error theory against some strictures by Michael Smith, and I then briefly suggest how a proponent of moral realism as a moral doctrine would respond to Smith’s defense of the Archimedeanism of expressivism. Thereafter, this paper moves to its chief endeavor. By differentiating clearly between expressivism and quasi-realism (or moral realism as a moral doctrine), the paper highlights both their distinctness and their compatibility. In so doing, it underscores the affinities between Blackburnian quasi-realism and moral realism as a moral doctrine. Finally, this paper contends ─ in line with my earlier work on these matters ─ that moral realism as a moral doctrine points to the need for some reorienting of meta-ethical enquiries rather than for the abandoning of them

    Analytic Kramer kernels, Lagrange-type interpolation series and de Branges spaces

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    The classical Kramer sampling theorem provides a method for obtaining orthogonal sampling formulas. In particular, when the involved kernel is analytic in the sampling parameter it can be stated in an abstract setting of reproducing kernel Hilbert spaces of entire functions which includes as a particular case the classical Shannon sampling theory. This abstract setting allows us to obtain a sort of converse result and to characterize when the sampling formula associated with an analytic Kramer kernel can be expressed as a Lagrange-type interpolation series. On the other hand, the de Branges spaces of entire functions satisfy orthogonal sampling formulas which can be written as Lagrange-type interpolation series. In this work some links between all these ideas are established

    The fallacy of enrolling only high-risk subjects in cancer prevention trials: Is there a "free lunch"?

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    BACKGROUND: There is a common belief that most cancer prevention trials should be restricted to high-risk subjects in order to increase statistical power. This strategy is appropriate if the ultimate target population is subjects at the same high-risk. However if the target population is the general population, three assumptions may underlie the decision to enroll high-risk subject instead of average-risk subjects from the general population: higher statistical power for the same sample size, lower costs for the same power and type I error, and a correct ratio of benefits to harms. We critically investigate the plausibility of these assumptions. METHODS: We considered each assumption in the context of a simple example. We investigated statistical power for fixed sample size when the investigators assume that relative risk is invariant over risk group, but when, in reality, risk difference is invariant over risk groups. We investigated possible costs when a trial of high-risk subjects has the same power and type I error as a larger trial of average-risk subjects from the general population. We investigated the ratios of benefit to harms when extrapolating from high-risk to average-risk subjects. RESULTS: Appearances here are misleading. First, the increase in statistical power with a trial of high-risk subjects rather than the same number of average-risk subjects from the general population assumes that the relative risk is the same for high-risk and average-risk subjects. However, if the absolute risk difference rather than the relative risk were the same, the power can be less with the high-risk subjects. In the analysis of data from a cancer prevention trial, we found that invariance of absolute risk difference over risk groups was nearly as plausible as invariance of relative risk over risk groups. Therefore a priori assumptions of constant relative risk across risk groups are not robust, limiting extrapolation of estimates of benefit to the general population. Second, a trial of high-risk subjects may cost more than a larger trial of average risk subjects with the same power and type I error because of additional recruitment and diagnostic testing to identify high-risk subjects. Third, the ratio of benefits to harms may be more favorable in high-risk persons than in average-risk persons in the general population, which means that extrapolating this ratio to the general population would be misleading. Thus there is no free lunch when using a trial of high-risk subjects to extrapolate results to the general population. CONCLUSION: Unless the intervention is targeted to only high-risk subjects, cancer prevention trials should be implemented in the general population

    Sensitivity analysis of circadian entrainment in the space of phase response curves

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    Sensitivity analysis is a classical and fundamental tool to evaluate the role of a given parameter in a given system characteristic. Because the phase response curve is a fundamental input--output characteristic of oscillators, we developed a sensitivity analysis for oscillator models in the space of phase response curves. The proposed tool can be applied to high-dimensional oscillator models without facing the curse of dimensionality obstacle associated with numerical exploration of the parameter space. Application of this tool to a state-of-the-art model of circadian rhythms suggests that it can be useful and instrumental to biological investigations.Comment: 22 pages, 8 figures. Correction of a mistake in Definition 2.1. arXiv admin note: text overlap with arXiv:1206.414

    Order reduction approaches for the algebraic Riccati equation and the LQR problem

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    We explore order reduction techniques for solving the algebraic Riccati equation (ARE), and investigating the numerical solution of the linear-quadratic regulator problem (LQR). A classical approach is to build a surrogate low dimensional model of the dynamical system, for instance by means of balanced truncation, and then solve the corresponding ARE. Alternatively, iterative methods can be used to directly solve the ARE and use its approximate solution to estimate quantities associated with the LQR. We propose a class of Petrov-Galerkin strategies that simultaneously reduce the dynamical system while approximately solving the ARE by projection. This methodology significantly generalizes a recently developed Galerkin method by using a pair of projection spaces, as it is often done in model order reduction of dynamical systems. Numerical experiments illustrate the advantages of the new class of methods over classical approaches when dealing with large matrices

    Multiscale modelling of auxin transport in the plant-root elongation zone

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    In the root elongation zone of a plant, the hormone auxin moves in a polar manner due to active transport facilitated by spatially distributed influx and efflux carriers present on the cell membranes. To understand how the cell-scale active transport and passive diffusion combine to produce the effective tissue-scale flux, we apply asymptotic methods to a cell-based model of auxin transport to derive systematically a continuum description from the spatially discrete one. Using biologically relevant parameter values, we show how the carriers drive the dominant tissue-scale auxin flux and we predict how the overall auxin dynamics are affected by perturbations to these carriers, for example, in knockout mutants. The analysis shows how the dominant behaviour depends on the cells' lengths, and enables us to assess the relative importance of the diffusive auxin flux through the cell wall. Other distinguished limits are also identified and their potential roles discussed. As well as providing insight into auxin transport, the study illustrates the use of multiscale (cell to tissue) methods in deriving simplified models that retain the essential biology and provide understanding of the underlying dynamics
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