Within the United States, the most prominent justification for criminal punishment is retributivism. This retributivist justification for punishment maintains that punishment of a wrongdoer is justified for the reason that she deserves something bad to happen to her just because she has knowingly done wrong—this could include pain, deprivation, or death. For the retributivist, it is the basic desert attached to the criminal’s immoral action alone that provides the justification for punishment. This means that the retributivist position is not reducible (...) to consequentialist considerations nor in justifying punishment does it appeal to wider goods such as the safety of society or the moral improvement of those being punished. A number of sentencing guidelines in the U.S. have adopted desert as their distributive principle, and it is increasingly given deference in the “purposes” section of state criminal codes, where it can be the guiding principle in the interpretation and application of the code’s provisions. Indeed, the American Law Institute recently revised the Model Penal Code so as to set desert as the official dominate principle for sentencing. And courts have identified desert as the guiding principle in a variety of contexts, as with the Supreme Court’s enthroning retributivism as the “primary justification for the death penalty.” While retributivism provides one of the main sources of justification for punishment within the criminal justice system, there are good philosophical and practical reasons for rejecting it. One such reason is that it is unclear that agents truly deserve to suffer for the wrongs they have done in the sense required by retributivism. In the first section, I explore the retributivist justification of punishment and explain why it is inconsistent with free will skepticism. In the second section, I then argue that even if one is not convinced by the arguments for free will skepticism, there remains a strong epistemic argument against causing harm on retributivist grounds that undermines both libertarian and compatibilist attempts to justify it. I maintain that this argument provides sufficient reason for rejecting the retributive justification of criminal punishment. I conclude in the third section by briefly sketching my public health-quarantine model, a non-retributive alternative for addressing criminal behavior that draws on the public health framework and prioritizes prevention and social justice. I argue that the model is not only consistent with free will skepticism and the epistemic argument against retributivism, it also provides the most justified, humane, and effective way of dealing with criminal behavior. (shrink)

The concept of downward causation is frequently used in an explanatory capacity in biology to account for certain regularities and processes. Some philosophers, however, argue that downward causation is metaphysically incoherent, providing three main objections. Underlying these objections is the assumption that entities are connected by compositional hierarchies of levels of organization. In this paper, I introduce the notions of weak and strong compositional relations using examples from evolutionary developmental biology. I argue that downward causation becomes unproblematic if we use (...) features of interventionist theories of causation to explain the causal relations between levels. I show that an interventionist account of downward causation successfully responds to the three central objections to downward causation in the philosophical literature and I clarify the explanatory usefulness of the concept in biology. As such, this paper provides an epistemic solution to demystify downward causation in the context of scientific practice. The solution proposed is compatible with how biologists seem to use a concept of downward causation fruitfully in their work. (shrink)

The role of reciprocal causation in Extended Evolutionary Synthesis (EES) is controversial. Proponents of EES argue that reciprocal causation is a key innovation, underpinning the necessity of EES. Conversely, critics of the EES maintain that Standard Evolutionary Theory (SET) adequately encompasses the concept of reciprocal causation, challenging the need for EES. This skepticism is rooted in two primary critiques. First, the mischaracterization of causal dynamics within SET by EES advocates leads to a misrepresentation of SET. Second, the oversight of how (...) SET incorporates and acknowledges instances of reciprocal causation leads to claims about the empirical inaptness of SET. As a result, the debate has reached an impasse, with limited progress towards a constructive examination of reciprocal causation’s significance to evolutionary explanations. This paper introduces the scope argument, which examines reciprocal causation through timescales and grain of explanations. This approach revitalizes the debate in two ways. First, reframing the debate in terms of scope clarifies the role of reciprocal causation by allowing research programs to specify targets of explanation. Second, the elements of scope (timescales and grain) elucidate the epistemic advantage of reciprocal causation in the respective research programs in question. (shrink)

Jaegwon Kim (1998a, 2005) claims that his exclusion problem follows a priori for the non-reductive physicalist given her commitment to five apparently inconsistent theses: mental causation, non-identity, supervenience, causal closure and non-overdetermination. For Kim, the combination of these theses entails that mental properties are a priori excluded as causes, forcing the non-reductive physicalist to accept either epiphenomenalism, or some form of reduction. In this thesis, I argue that Kim’s exclusion problem depends on a particular conception of causation, namely sufficient production, (...) and that when causation is understood in interventionist terms, the non-reductive physicalist can avoid the exclusion problem. I argue that Woodward’s (2003, 2008a, 2011a) version of interventionism not only provides an account of mental causation that avoids the exclusion problem, but argue that it also upholds all of the minimal commitments of non-reductive physicalism, thereby providing a successful non-reductive physicalist solution to the exclusion problem. In Chapter 2, I argue that all five theses are minimal commitments of non-reductive physicalism that cannot be rejected in order to avoid the exclusion problem. Chapter 3 identifies the assumptions that I take to underlie the exclusion problem. Chapter 4 introduces and outlines the central features of Woodward’s (2003) interventionism and Chapter 5 argues that Woodward’s interventionist account of mental causation provides a solution to the exclusion problem. I examine two alternative interventionist accounts of mental causation[1] that fail to provide satisfactory solutions to the exclusion problem and conclude that Woodward’s account therefore provides the only satisfactory account of mental causation and solution to the exclusion problem. Chapter 6 addresses some challenges proposed by Michael Baumgartner (2009, 2010) and argues that the interventionist is able to defend her position against these objections and uphold the interventionist solution to the exclusion problem outlined in this thesis. [1. Proposed by List and Menzies (2009) and Campbell (2007, 2008a, 2008b, 2010).]. (shrink)

In this article I want to share the idea of relationship symbiosis and its effects on the future of marriage and breakdowns in couples. Symbiosis is the connection two people find between them at the beginning of relationships that cause initial attraction and the decision making process to marry or cohabitate. Culture plays a significant role in symbiosis along with development issues from the type of parental style experienced in early childhood.

Among the many potential benefits arising from the rapidly advancing field of nanomedicine is the possibility of a whole new range of nanovaccines in which novel delivery mechanisms utilizing nanoparticles could make obsolete the use of needles for administering any vaccine. However, as the massive resources of the worldwide pharmaceutical industry are deployed to develop nanovaccines, urgent questions arise as to which diseases should be targeted and which populations will benefit most. -/- This paper explores how such targeting of nanovaccines (...) might be decided in an ethically optimal way and considers some of the practical considerations and potential problems of implementing such a global nanovaccine policy. There seems little doubt that nanomedical research could develop vaccines against most major global infectious diseases. Throughout the history of medicine, however, it is well recognized that insufficient attention and resources have been given to public health and preventive medicine and the environmental causes of ill-health remain under-researched. We urge that national governments and regional authorities of wealthier countries incentivise their powerful pharmaceutical corporations to develop nanovaccines within a global and long term perspective and not just to focus on the diseases of the developed world. (shrink)

A pineapple is a tropical plant with eatable leafy foods most monetarily critical plant in the family Bromeliaceous. The pineapple is native to South America, where it has been developed for a long time. The acquaintance of the pineapple with Europe in the seventeenth century made it a critical social symbol of extravagance. Since the 1820s, pineapple has been industrially filled in nurseries and numerous tropical manors. Further, it is the third most significant tropical natural product in world creation. In (...) the twentieth century, Hawaii was a prevailing maker of pineapples, particularly for the US, be that as it may, by 2016, Costa Rica, Brazil, and the Philippines represented almost 33% of the world's creation of pineapples. In this paper, machine learning based approach is presented for identifying type pineapple with a dataset that contains 1,311images use 946 images for training, 197 images for validation and 168 images for testing. A deep learning technique that extensively applied to image recognition was used. use 70% from image for training and 30% from image for validation. Our trained model achieved an accuracy of 100% on a heldout test set. (shrink)