The Monty Hall Problem (MHP), a process of two-stage decision making, was presented in atypical form via a custom software game. Differing from the normal three-box MHP, the game added one additional box on-screen for each game—culminating on game 23 with 25 on-screen boxes to initially choose from. A total of 108 participants played 23 games (trials) in one of four conditions; (1) “Vanish” condition—all non-winning boxes totally removed from the screen; (2) “Empty” condition—all non-winning boxes remain on-screen, but with (...) an “empty” label on them; (3) “Steroids” condition—all non-winning boxes removed from the screen, with initially chosen box becoming 25% larger; (4) “Steroids2” condition—all non-winning boxes removed from the screen, box not currently chosen becomes 25% larger. Results indicate second-stage on-screen presence of boxes influences switching; with their absence having the opposite effect. Size manipulation appears to elicit demand characteristics resulting in indeterminate influence. (shrink)

Robots are being extensively used for the purpose of discovering and testing empirical hypotheses about biological sensorimotor mechanisms. We examine here methodological problems that have to be addressed in order to design and perform “good” experiments with these machine models. These problems notably concern the mapping of biological mechanism descriptions into robotic mechanism descriptions; the distinction between theoretically unconstrained “implementation details” and robotic features that carry a modeling weight; the role of preliminary calibration experiments; the monitoring of experimental environments for (...) disturbing factors that affect both modeling features and theoretically unconstrained implementation details of robots. Various assumptions that are gradually introduced in the process of setting up and performing these robotic experiments become integral parts of the background hypotheses that are needed to bring experimental observations to bear on biological mechanism descriptions. (shrink)

What can interactive robots offer to the study of social behaviour? Philosophical reflections about the use of robotic models in animal research have focused so far on methods involving robots which do not interact with the target system. Yet, leading researchers have claimed that interactive robots may constitute powerful experimental tools to study collective behaviour. Can they live up to these epistemic expectations? This question is addressed here by focusing on a particular experimental methodology involving interactive robots which has been (...) often adopted in animal research. This methodology is shown to differ from other robot-supported methods for the study of animal behaviour analysed in the philosophical literature, chiefly including the synthetic method. It is also discussed whether biomimicry and acceptability are necessary for an interactive robot to be sensibly used in animal research according to this method. (shrink)

Simulation studies have been carried out in robotics for a variety of epistemic and practical purposes. Here it is argued that two broad classes of simulation studies can be identified in robotics research. The first one is exemplified by the use of robotic systems to acquire knowledge on living systems in so-called biorobotics, while the second class of studies is more distinctively connected to cases in which artificial systems are used to acquire knowledge about the behaviour of autonomous mobile robots. (...) The two classes pertain to sub-areas of robotics which are apparently quite distant from one another in terms of goals, methodologies, technologies, and theoretical backgrounds. Still both are concerned with building, running, and experimenting on simulations of other systems. This paper aims to reveal and discuss some methodological commonalities between the two classes of studies. Philosophical literature on simulation methodologies has been traditionally focused on studies carried out in research fields other than robotics: this article may therefore contribute to shedding light on how the concept of simulation is used in robotics, and on the role simulation methodologies play in this research field. (shrink)

In their theoretical and experimental reflections on the capacities and behaviours of living systems, neuroscientists often formulate generalizations about the behaviour of neural circuits. These generalizations are highly idealized, as they omit reference to the myriads of conditions that could perturb the behaviour of the modelled system in real-world settings. This article analyses an experimental investigation of the behaviour of place cells in the rat hippocampus, in which highly idealized generalizations were tested by comparing predictions flowing from them with real-world (...) experimental results. The aim of the article is to identify under what conditions even single prediction failures regarding the behaviour of single cells sufficed to reject highly idealized generalizations, and under what conditions prima facie counter-examples were deemed to be irrelevant to the testing of highly idealized generalizations. The results of this analysis may contribute to understanding how idealized models are tested experimentally in neuroscience and used to make reliable predictions concerning living systems in real-world settings. (shrink)

Bionic systems, connecting biological tissues with computer or robotic devices through brain–machine interfaces, can be used in various ways to discover biological mechanisms. In this article I outline and discuss a “stimulation-connection” bionics-supported methodology for the study of the brain, and compare it with other epistemic uses of bionic systems described in the literature. This methododology differs from the “synthetic”, simulative method often followed in theoretically driven Artificial Intelligence and cognitive science, even though it involves machine models of biological systems. (...) I also bring the previous analysis to bear on some claims on the epistemic value of bionic technologies made in the recent philosophical literature. I believe that the methodological reflections proposed here may contribute to the piecewise understanding of the many ways bionic technologies can be deployed not only to restore lost sensory-motor functions, but also to discover brain mechanisms. (shrink)

Bionic technologies connecting biological nervous systems to computer or robotic devices for therapeutic purposes have been recently claimed to provide novel experimental tools for the investigation of biological mechanisms. This claim is examined here by means of a methodological analysis of bionics-supported experimental inquiries on adaptive sensory-motor behaviours. Two broad classes of bionic systems (regarded here as hybrid simulations of the target biological system) are identified, which differ from each other according to whether a component of the biological target system (...) is replaced by an artificial component, or else a component of an artificial system is replaced by a biological component. The role of these hybrid systems in the modelling of adaptive sensory-motor biological behaviours is discussed with reference to bionics-supported experiments on the mechanisms of body stabilization in lampreys. Methodological problems emerging from these case studies often arise in computer-based and biorobotic simulations of biological behaviours too. Accordingly, the present analysis contributes to identifying a more general regulative methodological framework for the machine-based modelling of biological systems. (shrink)

The advancement of computing technology makes it possible to build extremely accurate digital reconstructions of brain circuits. Are such unprecedented levels of biological accuracy essential for brain simulations to play the roles they are expected to play in neuroscientific research? The main goal of this paper is to clarify this question by distinguishing between various roles played by large-scale simulations in contemporary neuroscience, and by reflecting about what makes a simulation biologically accurate. It is argued that large-scale simulations may play (...) model-oriented and prediction-oriented roles in brain research, and that the concept of biological accuracy can be interpreted as related to the plausibility of the theoretical model implemented in the simulation system, to the accuracy of the computer implementation, and to the level of details of the implemented model. Building on these observations and distinctions, it is argued that biological accuracy is not essential for a computer simulation to play the epistemic roles it is expected to play in brain research. (shrink)

Research on hybrid bionic systems (HBSs) is still in its infancy but promising results have already been achieved in laboratories. Experiments on humans and animals show that artificial devices can be controlled by neural signals. These results suggest that HBS technologies can be employed to restore sensorimotor functionalities in disabled and elderly people. At the same time, HBS research raises ethical concerns related to possible exogenous and endogenous limitations to human autonomy and freedom. The analysis of these concerns requires reflecting (...) on the availability of scientific models accounting for key aspects of sensorimotor coordination and plastic adaptation mechanisms in the brain. (shrink)

Introductory background -- Paradigms in the arts and social sciences -- General-integrative paradigms in psychology -- Particular-specific paradigms in psychology -- Operational paradigms in psychology -- Conclusion.

Computer simulations are widely used for surrogative reasoning in scientific research. They also play a crucial role in engineering, more specifically in the design of new robotic systems, yet the nature of this role has been little discussed so far in the philosophy of technology literature. The main claim made in this article is that the notion of surrogative reasoning is central to understanding how computer simulations can serve the purpose of designing new robots. More specifically, it is argued that (...) computer simulations can support two forms of surrogative reasoning, which are called model-oriented and prediction-oriented, whose inferential structure is reconstructed to some extent. And it is argued that, when computer simulations are used to design new robots, they are distinctively used in the model-oriented way. By unravelling the structure of the computer simulation-supported methods adopted in robotic design, this article may contribute to a finer-grained understanding of the epistemic processes involved in technological research. (shrink)

Nijhawan argues convincingly that predictive mechanisms are pervasive in the central nervous system (CNS). However, scientific understanding of visual prediction requires one to formulate empirically testable neurophysiological models. The author's suggestions in this direction are to be evaluated on the basis of more realistic experimental methodologies and more plausible assumptions on the hierarchical character of the human visual cortex.

In recent years, a number of research projects have been proposed whose goal is to build large-scale simulations of brain mechanisms at unprecedented levels of biological accuracy. Here it is argued that the roles these simulations are expected to play in neuroscientific research go beyond the “synthetic method” extensively adopted in Artificial Intelligence and biorobotics. In addition we show that, over and above the common goal of simulating brain mechanisms, these projects pursue various modelling ambitions that can be sharply distinguished (...) from one another, and that correspond to conceptually different interpretations of the notion of “biological accuracy”. They include the ambition to reach extremely deep levels in the mechanistic decomposition hierarchy, to simulate networks composed of extremely large numbers of neural units, to build systems able to generate rich behavioural repertoires, to simulate “complex” neuron models, to implement the “best” theories available on brain structure and function. Some questions will be raised concerning the significance of each of these modelling ambitions with respect to the various roles played by simulations in the study of the brain. (shrink)

Moral philosophers agree that welfare matters. But they disagree about what it is, or how much it matters. In this vital new work, Wayne Sumner presents an original theory of welfare, investigating its nature and discussing its importance. He considers and rejects all notable theories of welfare, both objective and subjective, including hedonism and theories founded on desire or preference. His own theory connects welfare closely with happiness or life satisfaction. Reacting against the value pluralism that currently dominates moral philosophy, (...) he advances welfare as the only basic ethical value. He concludes by discussing the implications of this thesis for ethical and political theory. Written in clear, non-technical language, and including a definitive survey of other work in this area, Sumner's book is essential reading for moral philosophers, political theorists, and welfare economists. (shrink)

In so-called ethorobotics and robot-supported social cognitive neurosciences, robots are used as scientific tools to study animal behavior and cognition. Building on previous epistemological analyses of biorobotics, in this article it is argued that these two research fields, widely differing from one another in the kinds of robots involved and in the research questions addressed, share a common methodology, which significantly differs from the “synthetic method” that, until recently, dominated biorobotics. The methodological novelty of this strategy, the research opportunities that (...) it opens, and the theoretical and technological challenges that it gives rise to, will be discussed with reference to the peculiarities of the two research fields. Some broad methodological issues related to the generalization of results concerning robot-animal interaction to theoretical conclusions on animal-animal interaction will be identified and discussed. (shrink)

A number of research projects have recently taken up the challenge of formulating large-scale models of brain mechanisms at unprecedented levels of detail. These research enterprises have raised lively debates in the press and in the scientific and philosophical literature, some of them revolving around the question whether the incorporation of so many details in a theoretical model and in a computer simulations of it is really needed for the model to be explanatory. Is there a “right” level of detail? (...) In this article I analyse the claim, made by two leading neuroscientists, according to which the content of the why-question addressed and the amount of computational resources available constrains the choice of the most appropriate level of detail in brain modelling. Based on the recent philosophical literature on scientific explanation, I distinguish between two kinds of details, called here mechanistic decomposition and property details, and argue that the nature of the why-question provides only partial constraints to the choice of the most appropriate level of detail under the two interpretations of the term considered here. (shrink)

Robotics and Philosophy of Science What relationship holds between robotics and philosophy of science? Can robotics research contribute to research in philosophy of science? Conversely, can the results achieved by philosophers of science contribute to the progress of research in robotics? This article will deal with both questions based on the distinction between the so-called philosophy of general science and the philosophy of the particular sciences. It will draw relatively pessimistic conclusions about the possibility that robotics research shed light on (...) questions pertaining to the philosophy of general science, and more optimistic conclusions about the potential contribution of robotics research to the philosophy of particular sciences. The normative aspect of philosophy of science is consistent with the possibility that this field of research, taking robotics as its object of study, provides guidelines and regulative methodological principles for engineers and roboticists. Through these considerations, this article attempts to explore a possible field of interaction between philosophy and scientific-technological research, with reference to a discipline that is assuming an increasingly predominant role in many aspects of daily life. (shrink)

Abstract. The rapid developments of robotics technologies in the last twenty years of the XX century have greatly encouraged research on the use of robots for surgery, diagnosis, rehabilitation, prosthetics, and assistance to disabled and elderly people. This chapter provides an overview of robotic technologies and systems for health care, focussing on various ethical problems that these technologies give rise to. These problems notably concern the protection of human physical and mental integrity, autonomy, responsibility, ...

Critics of contemporary metaphysics argue that it attempts to do the hard work of science from the ease of the armchair. Physics, not metaphysics, tells us about the fundamental facts of the world, and empirical psychology is best placed to reveal the content of our concepts about the world. Exploring and understanding the world through metaphysical reflection is obsolete. In this paper, I will show why this critique of metaphysics fails, arguing that metaphysical methods used to make claims about the (...) world are similar to scientific methods used to make claims about the world, but that the subjects of metaphysics are not the subjects of science. Those who argue that metaphysics uses a problematic methodology to make claims about subjects better covered by natural science get the situation exactly the wrong way around: metaphysics has a distinctive subject matter, not a distinctive methodology. The questions metaphysicians address are different from those of scientists, but the methods employed to develop and select theories are similar. In the first section of the paper, I will describe the sort of subject matter that metaphysics tends to engage with. In the second section of the paper, I will show how metaphysical theories are classes of models and discuss the roles of experience, common sense and thought experiments in the construction and evaluation of such models. Finally, in the last section I will discuss the way these methodological points help us to understand the metaphysical project. Getting the right account of the metaphysical method allows us to better understand the relationship between science and metaphysics, to explain why doing metaphysics successfully involves having a range of different theories, to understand the role of thought experiments involving fictional worlds, and to situate metaphysical realism in a scientifically realist context. (shrink)

Can philosophy offer reasonable grounds for the existence of a God possessing genuine religious significance and not proposed simply as the solution to a purely intellectual philosophical problem? Certainly many contemporary thinkers have insisted that no genuine religion could be based upon metaphysics. In this book, however, T. L. S. Sprigge examines sympathetically the most notable metaphysical systems of the last four centuries which purport to put religion on a rational footing and, after a thorough examination of their claims, considers (...) what kind of religious outlook they might support and how they actually affected the lives of their proponents. The thinkers studied include Spinoza, Hegel, T. H. Green, Bernard Bosanquet, Josiah Royce, A. N. Whitehead, and Charles Hartshorne, concluding with an exposition of the author's own viewpoint and a general discussion on the relation between metaphysics and religion. There is also a chapter on Kierkegaard as the most important critic of metaphysical religion. (shrink)

First of all, in this paper we provide some clarifications on the several meanings of the term ‘ethics’, above all in the light of contemporary discussions on this matter. Then we analyze an important ethical concept, i.e. the concept of moral responsibility, for the sake of clarifying some problems concerning the human-robot relationship. Finally, we try to develop a well defined pattern of “ethics of responsibility” in order to give a general background for resolving concrete dilemmas that may arise in (...) the artificial world. (shrink)

The paradox of knowability, derived from a proof by Frederic Fitch in 1963, is one of the deepest paradoxes concerning the nature of truth. Jonathan Kvanvig argues that the depth of the paradox has not been adequately appreciated. It has long been known that the paradox threatens antirealist conceptions of truth according to which truth is epistemic. If truth is epistemic, what better way to express that idea than to maintain that all truths are knowable? In the face of the (...) paradox, however, such a characterization threatens to undermine antirealism. If Fitch's proof is valid, then one can be an antirealist of this sort only by endorsing the conclusion of the proof that all truths are known.Realists about truth have tended to stand on the sidelines and cheer the difficulties faced by their opponents from Fitch's proof. Kvanvig argues that this perspective is wholly unwarranted. He argues that there are two problems raised by the paradox, one that threatens antirealism about truth and the other that threatens everybody's view about truth, realist or antirealist. The problem facing antirealism has had a number of proposed solutions over the past 40 years, and the results have not been especially promising with regard to the first problem. The second problem has not even been acknowledged, however, and the proposals regarding the first problem are irrelevant to the second problem. This book thus provides a thorough investigation of the literature on the paradox, and also proposes a solution to the deeper of the two problems raised by Fitch's proof. It provides a complete picture of the paradoxicality that results from Fitch's proof, and presents a solution to the paradox that claims to address both problems raised by the original proof. (shrink)

I defend a one category ontology: an ontology that denies that we need more than one fundamental category to support the ontological structure of the world. Categorical fundamentality is understood in terms of the metaphysically prior, as that in which everything else in the world consists. One category ontologies are deeply appealing, because their ontological simplicity gives them an unmatched elegance and spareness. I’m a fan of a one category ontology that collapses the distinction between particular and property, replacing it (...) with a single fundamental category of intrinsic characters or qualities. We may describe the qualities as qualitative charactersor as modes, perhaps on the model of Aristotelian qualitative (nonsubstantial) kinds, and I will use the term “properties” interchangeably with “qualities”. The qualities are repeatable and reasonably sparse, although, as I discuss in section 2.6, there are empirical reasons that may suggest, depending on one’s preferred fundamental physical theory, that they include irreducibly intensive qualities. There are no uninstantiated qualities. I also assume that the fundamental qualitative natures are intrinsic, although physics may ultimately suggest that some of them are extrinsic. On my view, matter, concrete objects, abstract objects, and perhaps even spacetime are constructed from mereological fusions of qualities, so the world is simply a vast mixture of qualities, including polyadic properties (i.e., relations). This means that everything there is, including concrete objects like persons or stars, is a quality, a qualitative fusion, or a portion of the extended qualitative fusion that is the worldwhole. I call my view mereological bundle theory. (shrink)

In Working Virtue: Virtue Ethics and Contemporary Moral Problems, leading figures in the fields of virtue ethics and ethics come together to present the first ...

The purpose of this article is to discuss an external whistleblowing event that occurred after all internal whistleblowing through the hierarchy of the organization had failed. It is argued that an organization that does not support those that whistle blow because of violation of professional standards is indicative of a failure of organizational ethics. Several ways to build an ethics infrastructure that could reduce the need to resort to external whistleblowing are discussed. A relational ethics approach is presented as a (...) way to eliminate the negative consequences of whistleblowing by fostering an interdependent moral community to address ethical concerns. (shrink)

This article addresses prospective and retrospective responsibility issues connected with medical robotics. It will be suggested that extant conceptual and legal frameworks are sufficient to address and properly settle most retrospective responsibility problems arising in connection with injuries caused by robot behaviours (which will be exemplified here by reference to harms occurred in surgical interventions supported by the Da Vinci robot, reported in the scientific literature and in the press). In addition, it will be pointed out that many prospective responsibility (...) issues connected with medical robotics are nothing but well-known robotics engineering problems in disguise, which are routinely addressed by roboticists as part of their research and development activities: for this reason they do not raise particularly novel ethical issues. In contrast with this, it will be pointed out that novel and challenging prospective responsibility issues may emerge in connection with harmful events caused by normal robot behaviours. This point will be illustrated here in connection with the rehabilitation robot Lokomat. (shrink)

Cybernetics promoted machine-supported investigations of adaptive sensorimotor behaviours observed in biological systems. This methodological approach receives renewed attention in contemporary robotics, cognitive ethology, and the cognitive neurosciences. Its distinctive features concern machine experiments, and their role in testing behavioural models and explanations flowing from them. Cybernetic explanations of behavioural events, regularities, and capacities rely on multiply realizable mechanism schemata, and strike a sensible balance between causal and unifying constraints. The multiple realizability of cybernetic mechanism schemata paves the way to principled (...) comparisons between biological systems and machines. Various methodological issues involved in the transition from mechanism schemata to their machine instantiations are addressed here, by reference to a simple sensorimotor coordination task. These concern the proper treatment of ceteris paribus clauses in experimental settings, the significance of running experiments with correct but incomplete machine instantiations of mechanism schemata, and the advantage of operating with real machines ??? as opposed to simulated ones ??? immersed in real environments. (shrink)

Preterm birth is defined as delivery occurring before 37 weeks gestation.1 Infants born prematurely have increased risks of morbidity and mortality throughout life, especially during the first year. These risks increase as the gestational age at birth decreases.2 Additionally, there are significant racial and ethnic differences in preterm birth rates. In 2022, the rate of preterm birth among non-Hispanic black women was approximately 50% higher than that observed in non-Hispanic white women.1 The outcomes for these infants are also disparate–preterm birth (...) and low birth weight are the second-leading causes of infant mortality (deaths before 1 year of age). Notably, among preterm neonates, infants born to non-Hispanic black women have a mortality rate more than double that of infants born to non-Hispanic white mothers.3 Importantly, there is a small but significant group of neonates that can be classified as severely premature (those born <28 weeks). Infants born before 28 weeks have varied and uncertain outcomes. While this group accounts for only 0.4% of preterm births, it also accounts for 40% of deaths among preterm neonates.4 As noted by Romanis and Adkins, the advent of artificial amnion and placenta technology (AAPT) holds promise for its potential to address the physiologic complications and mortality risks of extreme prematurity by introducing amniotic substitutes that mimic in vivo placental oxygenation and substrate delivery. In contrast …. (shrink)

The sports world has historically rejected the practice of tanking. I argue that this attitude is unwarranted. To do so, I introduce a concept called strategic suboptimal play (SSP), which is the practice of incurring the risk of a short-term competitive disadvantage to increase the chances of gaining a longer-term competitive advantage. Tanking is just an instance of SSP employed in higher-order games, i.e. games that are at least partially played by other games, like tournaments or seasons. Since SSP is (...) integral to every sport, there are currently no easy grounds for rejecting it outright. As such, the same is true of tanking. I will explore some possible reasons why tanking is wrongly thought objectionable, as well as some objections to and implications of my argument for competitive sports more broadly. (shrink)

I summarize the main argument of Transformative Experience (OUP 2014). The book develops familiar examples from classical philosophical debates, as well as original examples, to argue that an agent’s decision to undergo a transformative experience—an experience constituted by radical personal and epistemic change for the agent—must either be authentic or irrational, but not both. The Precis of Transformative Experience walks the reader through the main ideas involved in epistemically and personally transformative experiences, the problems they pose for rational decision-making, and (...) discusses a number of key original examples of transformative experiences. (shrink)

In this book, T. L. Short places the notorious difficulties of Peirce's important writings in a more productive light, arguing that he wrote philosophy as a scientist, by framing conjectures intended to be refined or superseded in the inquiries they initiate. He argues also that Peirce held that the methods and metaphysics of modern science are amended as inquiry progresses, making metaphysics a branch of empirical knowledge. Additionally, Short shows that Peirce's scientific work expanded empiricism on empirical grounds, grounding his (...) phenomenology and subverting the fact/value dichotomy, and that he understood statistical explanations in nineteenth-century science as reintroducing the idea of final causation, now made empirical. Those innovations underlie Peirce's late ideas of a normative science and of philosophy as a branch of science. Short's rich and original study shows us how to read Peirce's writings and why they are worth reading. (shrink)

This chapter offers an overview of the phenomenological approach to delusions, emphasizing what Karl Jaspers called the "true delusions" of schizophrenia. Phenomenological psychopathology focuses on the experience of delusions and the delusional world. Several features of this approach are surveyed, including emphasis on formal qualities of subjective life and questioning of standard assumptions about delusions as erroneous belief. The altered modalities of world-oriented and self-oriented experience that precede and ground delusions in schizophrenia, especially the experiences of revelation that Klaus Conrad (...) termed the outer and inner apophany, are then discussed. The chapter first considers the famous "delusional mood", then the role of ipseity-disturbance. In both cases it is explained how delusions can develop out of these distinctive alterations of perception and feeling. The classic question of the understandability or comprehensibility of schizophrenic delusion, together with the related issues of wish-fulfillment and rationalizing motives are then considered. The chapter addresses the crucial but neglected issue of the felt reality-status of delusions or the delusional world, discussing derealization, "double bookkeeping", and "double exposure". The chapter concludes by discussing delusions typically found in paranoid and affective psychoses, and monothematic delusions found in certain organic conditions. (shrink)

In the course of writing this book, answers to the following questions and many others were given in both narrative and visual form. Most of them were presented rather forcefully, and not when I was expecting them. I understood that I was to share what I learned. What is in store for the geology of North America? How do we create matter every day? What is the nature of nature? How did people live more than a half million years ago? (...) What was space travel like a half million years ago? Where is God? What are our responsibilities as humans? Is Hitler in heaven? How can we go to heaven? (shrink)

A definitive feature of Kant's moral philosophy is its rationalism. Kant insists that moral theory, at least at its foundation, cannot take account of empirical facts about human beings and their circumstances in the world. This is the core of Kant's commitment to ‘metaphysics of morals’, and it is what he sees as his greatest contribution to moral philosophy. The paper clarifies what it means to be committed to metaphysics of morals, why Kant is committed to it, and where he (...) thinks empirical considerations may enter moral theory. The paper examines recent work of contemporary Kantians who argue that there is a central role for empirical considerations in Kant's moral theory. Either these theorists interpret Kant himself as permitting empirical considerations to enter, or they propose to extend Kant's theory so as to allow them to enter. With some qualifications, I argue that these interpretive trends are not supported by the texts, and that the proposed extensions are not plausibly Kantian. Kant's insistence on the exclusion of empirical considerations from the foundations of moral theory is not an incidental feature of his thought which might be modified while the rest remains unchanged. Rather, it is the very centre of his endeavours in moral philosophy. If we disagree with it, I argue, we have grounds for moving to a distinctly different theoretical framework. (shrink)

In this timely book L.W. Sumner addresses these issues within the wider context of palliative care for patients in the dying process.