One of the features of John Locke’s moral philosophy is the idea that morality is based on our beliefs concerning the future good. In An Essay Concerning Human Understanding II, xxi, §70, Locke argues that we have to decide between the probability of afterlife and our present temptations. In itself, this kind of decision model is not rare in Early Modern philosophy. Blaise Pascal’s Wager is a famous example of a similar idea of balancing between available options which Marcelo Dascal (...) has discussed in his important 2005 article “The Balance of Reason”. -/- Leibniz, however, was not always satisfied with this kind of simple balancing. In his commentary to Locke’s Essay, Nouveaux essais sur l’entendement humain, II, xxi, §66, he presented an alternative model which is based on an idea of plural, mutually conflicting inclinations. This kind of model, called as vectorial theory of rational decision by Simo Knuuttila, fits well with Leibniz’s theory of the soul where volitions are formed as a kind of compromise between different inclinations to different goods. -/- I will present these two models and show how they illustrate the practical rationality of Locke and Leibniz and how their moral philosophies differ, although being similar in certain respects. The topics include Leibniz’s criticism of Lockean hedonism and the discussion of akratic behaviour in II, xxi of Essay and Nouveaux essais. (shrink)

The aim of this paper is to provide a detailed characterisation of some ways in which our preferences reflect our reasons. I will argue that practical reasons can be characterised along two dimensions that influence our preferences: their balance and their weight. This is analogous to a similar characterisation of the way in which probabilities reflect the balance and weight of evidence in epistemology. In this paper, I will illustrate the distinction between the balance and weight (...) of reasons, and show how this is crucial for an adequate account of preference and choice. The upshot is a more complete picture of a particular kind of decision, labelled by Isaac Levi and, more recently, Ruth Chang as ‘hard choices’. These are choices in which one option is better than another in some ways, the other is better than the first in some ways, but neither seems better overall. The distinction between the balance and weight of reasons presents a new way of understanding how hard choices vary by degree and what it is that makes them so hard. (shrink)

The sense of balance remains a Cinderella among our senses. Although the vestibular apparatus and the apprehension of motion, equilibrium and orientation which it serves has now been studied extensively and descriptions abound in textbooks on perceptual psychology, its key role in our agency remains neglected in philosophical accounts of perception. Popularly received wisdom on the senses also largely ignores balance and it has recently even been called 'the lost sense'. -/- Recognition for the discovery of this sense (...) should probably be accorded to Thomas Reid and his contemporary William Charles Wells. Both made crucial observations before the close of the eighteenth century. Since there is now a tendency to emphasize the role of the agent, brain plasticity, and the development of motor skills in all perceptual tasks, some of Reid's comments in particular strike us as remarkably modern. Reid also differs from many authorities in crediting the sense with specific sensations, as would be expected given the role of sensations in his epistemological scheme. -/- In this paper some of the fascinating facts about the sense of balance are reviewed so that Reid's remarks can be evaluated in a modern context. Similarities and differences in the approaches of Wells and Reid are considered and the value that Reid's insights have even now in understanding perceptual processes is explored. It is suggested that Reid should indeed be counted among the hitherto unacknowledged discoverers of this fundamental sense. (shrink)

Systems of logico-probabilistic (LP) reasoning characterize inference from conditional assertions interpreted as expressing high conditional probabilities. In the present article, we investigate four prominent LP systems (namely, systems O, P, Z, and QC) by means of computer simulations. The results reported here extend our previous work in this area, and evaluate the four systems in terms of the expected utility of the dispositions to act that derive from the conclusions that the systems license. In addition to conforming to the (...) dominant paradigm for assessing the rationality of actions and decisions, our present evaluation complements our previous work, since our previous evaluation may have been too severe in its assessment of inferences to false and uninformative conclusions. In the end, our new results provide additional support for the conclusion that (of the four systems considered) inference by system Z offers the best balance of error avoidance and inferential power. Our new results also suggest that improved performance could be achieved by a modest strengthening of system Z. (shrink)

This article examines an uncommon materialist argument preserved in late medieval Prague quodlibets by Matthias of Knín (1409) and Prokop of Kladruby (1417). The argument connects the Galenic claim that the human body has the noblest and best-balanced complexion possible with the Alexandrist claim that the human rational soul emerges from such well-balanced matter without any supernatural intervention. Of the various medieval renderings of these claims, John Wyclif’s De compositione hominis is singled out as the most probable source of the (...) argument. Far from attributing plain materialism to Wyclif, the article highlights a semimaterialist position, mentioned in two fifteenth-century De anima commentaries of Prague origin, grafting the immortal spirit postulate onto an Alexandrist-like doctrine of the intellect as educed from the harmoniously complexioned body. Finally, it is argued that this semimaterialist position may not only encapsulate how Bohemian masters read Wyclif, but also be close to Wyclif’s actual anthropological stance. (shrink)

Stephen Finlay analyses ‘ought’ in terms of probability. According to him, normative ‘ought's are statements about the likelihood that an act will realize some (contextually supplied) end. I raise a problem for this theory. It concerns the relation between ‘ought’ and the balance of reasons. ‘A ought to Φ’ seems to entail that the balance of reasons favours that A Φ-es, and vice versa. Given Finlay's semantics for ‘ought’, it also makes sense to think of reasons and their (...) weight in terms of probability. In this paper, I develop such a theory of weight. It turns out, however, that it cannot explain the entailments. This leaves Finlay with a challenge: to explain these entailments in some other way consistent with his theory, or to show why the appearances deceive and there are no such entailments. (shrink)

Eva Schmidt argues that facts about incoherent beliefs can be non-evidential epistemic reasons to suspend judgment. In this commentary, I argue that incoherence-based reasons to suspend are epistemically superfluous: if the subjects in Schmidt’s cases ought to suspend judgment, then they should do so merely on the basis of their evidential reasons. This suggests a more general strategy to reduce the apparent normativity of coherence to the normativity of evidence. I conclude with some remarks on the independent interest that reasons-first (...) epistemology might have within an evidentialist framework. (shrink)

Development of the world economy bears numerous negative phenomena, and require constant need to rebalance socioeconomic interests of nations, transnational subjects, and individuals. Socialisation is an important and effective tool for balancing social and individual; however, despite socialisation is evolving rapidly, its scientific and practical potential is not duly uncovered. In the article theoretical and methodological foundations of socialisation of economy is surveyed in the context of globalisation, and etymology, explanations, scope, historical phases of development, theoretical aspects and practical forms (...) of use, consequences and prospects are analysed. The term «socialisation» was determined as a multidisciplinary, used in many scientific fields, increasingly involving various areas of research and is understood as inclusion, adaptation and development of human being in society. It was determined that the economy socialisation is implemented in different fields and semantic structures, contains a large number of methodological tools, is involved at all management levels, and is primarily identified with the increasing role of social component in the life of human resources. The assumptions were made about the future transformation of this category in line with the identified predictive trends. (shrink)

I offer a novel reading in this dissertation of René Descartes’s (1596–1650) skepticism in his work Meditations on First Philosophy (1641–1642). I specifically aim to answer the following problem: How is Descartes’s skepticism to be read in accordance with the rest of his philosophy? This problem can be divided into two more general questions in Descartes scholarship: How is skepticism utilized in the Meditations, and what are its intentions and relation to the preceding philosophical tradition? -/- I approach the topic (...) from both a historical and a text-based analysis, combining textual and contextual research. I examine Descartes’s skepticism against two main traditions in the historical analysis: philosophical skepticism and Aristotelian Scholasticism. I argue that skepticism in the Meditations is intended to oppose and upheave both Scholasticism and skepticism. The intended results of the work are not merely epistemological but also metaphysical and even ethical. Furthermore, these ambitions cannot be neatly distinguished but merge into each other. -/- The third historical context against which the skeptical meditations are examined is the literary genre of meditative exercises, particularly from the 1500–1600’s, which, while religiously and spiritually oriented, likewise provided the practitioner with an enlightened understanding of self-knowledge and their cognitive place in the world on the way to closer spiritual proximity to God. I argue by this reading that the skepticism of the Meditations is an attentive, meditational cognitive exercise that is not merely instrumental and methodological but is to have a genuine and serious (psychologically real) effect on our thinking. The skeptical meditation is not simply a theoretical thought experiment but is to be seriously practiced as a transformative process of reorienting one’s cognitive framework to discover truth, certainty, and a way to a happy, tranquil, and virtuous life. -/- I offer a close reading in the textual analysis of the first three meditations of the Meditations. I argue that the meditative skepticism employed in the work does not reject the previous beliefs but suspends judgment on them, withdrawing assent until further evidence can be found. I introduce a new term into Descartes scholarship in this analysis, based on the terminology of ancient skepticism: Cartesian epochē (gr. epochē, suspension, withdrawal). Instead of rejecting previous beliefs or assenting to the probably false, the skeptical procedure of the Meditations is argued to emulate in important ways the suspension of judgment on equally balanced reasons in ancient Pyrrhonian skepticism. Novel interpretations are presented along the way of the will’s freedom, of the First Meditation’s skeptical scenarios, of the cogito, and of the vindication of metaphysical certainty, as well as a clarification of the Cartesian Circle problem. -/- Reinterpreting the relation of Descartes’s skepticism to the preceding historical and literary traditions leads to a new look at the skeptical method itself. Presenting a new interpretation of skepticism in the Meditations leads at the same time to a new look at its relation to the historical context. The two research questions are, then, intrinsically tied together. -/- My focus in the study is on the Meditations, but I also reference and discuss Descartes’s other philosophical works, as well as his correspondence, when necessary. (shrink)

Evolutionary theory (ET) is teeming with probabilities. Probabilities exist at all levels: the level of mutation, the level of microevolution, and the level of macroevolution. This uncontroversial claim raises a number of contentious issues. For example, is the evolutionary process (as opposed to the theory) indeterministic, or is it deterministic? Philosophers of biology have taken different sides on this issue. Millstein (1997) has argued that we are not currently able answer this question, and that even scientific realists ought (...) to remain agnostic concerning the determinism or indeterminism of evolutionary processes. If this argument is correct, it suggests that, whatever we take probabilities in ET to be, they must be consistent with either determinism or indeterminism. This raises some interesting philosophical questions: How should we understand the probabilities used in ET? In other words, what is meant by saying that a certain evolutionary change is more or less probable? Which interpretation of probability is the most appropriate for ET? I argue that the probabilities used in ET are objective in a realist sense, if not in an indeterministic sense. Furthermore, there are a number of interpretations of probability that are objective and would be consistent with ET under determinism or indeterminism. However, I argue that evolutionary probabilities are best understood as propensities of population-level kinds. (shrink)

This dissertation is a contribution to formal and computational philosophy. -/- In the first part, we show that by exploiting the parallels between large, yet finite lotteries on the one hand and countably infinite lotteries on the other, we gain insights in the foundations of probability theory as well as in epistemology. Case 1: Infinite lotteries. We discuss how the concept of a fair finite lottery can best be extended to denumerably infinite lotteries. The solution boils down to the introduction (...) of infinitesimal probability values, which can be achieved using non-standard analysis. Our solution can be generalized to uncountable sample spaces, giving rise to a Non-Archimedean Probability (NAP) theory. Case 2: Large but finite lotteries. We propose application of the language of relative analysis (a type of non-standard analysis) to formulate a new model for rational belief, called Stratified Belief. This contextualist model seems well-suited to deal with a concept of beliefs based on probabilities ‘sufficiently close to unity’. -/- The second part presents a case study in social epistemology. We model a group of agents who update their opinions by averaging the opinions of other agents. Our main goal is to calculate the probability for an agent to end up in an inconsistent belief state due to updating. To that end, an analytical expression is given and evaluated numerically, both exactly and using statistical sampling. The probability of ending up in an inconsistent belief state turns out to be always smaller than 2%. (shrink)

This article addresses the question of how ‘Country of Origin Information’ reports—that is, research developed and used to support decision-making in the asylum process—can be published in an ethical manner. The article focuses on the risk that published COI reports could be misused and thereby harm the subjects of the reports and/or those involved in their development. It supports a situational approach to assessing data ethics when publishing COI reports, whereby COI service providers must weigh up the benefits and harms (...) of publication based, inter alia, on the foreseeability and probability of harm due to potential misuse of the research, the public good nature of the research, and the need to balance the rights and duties of the various actors in the asylum process, including asylum seekers themselves. Although this article focuses on the specific question of ‘how to publish COI reports in an ethical manner’, it also intends to promote further research on data ethics in the asylum process, particularly in relation to refugees, where more foundational issues should be considered. (shrink)

I introduce a formalization of probability which takes the concept of 'evidence' as primitive. In parallel to the intuitionistic conception of truth, in which 'proof' is primitive and an assertion A is judged to be true just in case there is a proof witnessing it, here 'evidence' is primitive and A is judged to be probable just in case there is evidence supporting it. I formalize this outlook by representing propositions as types in Martin-Lof type theory (MLTT) and defining a (...) 'probability type' on top of the existing machinery of MLTT, whose inhabitants represent pieces of evidence in favor of a proposition. One upshot of this approach is the potential for a mathematical formalism which treats 'conjectures' as mathematical objects in their own right. Other intuitive properties of evidence occur as theorems in this formalism. (shrink)

Common goods and political sovereignty of nation-states are intertwined, since without government the orderly treatment of common goods would be unlikely. But large corporations, especially global multinationals, reshape and restrict national sovereignty through economic forces. Consequently, corporations have specific social responsibilities. This article articulates those responsibilities as they pertain to managing common goods.

In the context of discovery-oriented hypothesis testing research, behavioral scientists widely accept a convention for false positive (α) and false negative error rates (β) proposed by Jacob Cohen, who deemed the general relative seriousness of the antecedently accepted α = 0.05 to be matched by β = 0.20. Cohen’s convention not only ignores contexts of hypothesis testing where the more serious error is the β-error. Cohen’s convention also implies for discovery-oriented hypothesis testing research that a statistically significant observed effect is (...) four times more probable to be a mistaken discovery than for a statistically significant true observed effect to be independently replicable. In the long run, Cohen’s convention thus is epistemically harmful to the development of a progressive science of human behavior, making its acceptance crucial in explaining the replication crisis in behavioral science. The balance between α- and β-errors generally ought to be struck using both epistemic and practical considerations. Yet epistemic considerations alone imply that making a genuine contribution to the body of knowledge in behavioral science requires error rates that are not only small but also symmetrical. (shrink)

We call something a paradox if it strikes us as peculiar in a certain way, if it strikes us as something that is not simply nonsense, and yet it poses some difficulty in seeing how it could make sense. When we examine paradoxes more closely, we find that for some the peculiarity is relieved and for others it intensifies. Some are peculiar because they jar with how we expect things to go, but the jarring is to do with imprecision and (...) misunderstandings in our thought, failures to appreciate the breadth of possibility consistent with our beliefs. Other paradoxes, however, pose deep problems. Closer examination does not explain them away. Instead, they challenge the coherence of certain conceptual resources and hence challenge the significance of beliefs which deploy those resources. I shall call the former kind weak paradoxes and the latter, strong paradoxes. Whether a particular paradox is weak or strong is sometimes a matter of controversy—sometimes it has been realised that what was thought strong is in fact weak, and vice versa,— but the distinction between the two kinds is generally thought to be worth drawing. In this Cchapter, I shall cover both weak and strong probabilistic paradoxes. (shrink)

When probability discounting (or probability weighting), one multiplies the value of an outcome by one's subjective probability that the outcome will obtain in decision-making. The broader import of defending probability discounting is to help justify cost-benefit analyses in contexts such as climate change. This chapter defends probability discounting under risk both negatively, from arguments by Simon Caney (2008, 2009), and with a new positive argument. First, in responding to Caney, I argue that small costs and benefits need to be evaluated, (...) and that viewing practices at the social level is too coarse-grained. Second, I argue for probability discounting using a distinction between causal responsibility and moral responsibility. Moral responsibility can be cashed out in terms of blameworthiness and praiseworthiness, while causal responsibility obtains in full for any effect which is part of a causal chain linked to one's act. With this distinction in hand, unlike causal responsibility, moral responsibility can be seen as coming in degrees. My argument is, given that we can limit our deliberation and consideration to that which we are morally responsible for and that our moral responsibility for outcomes is limited by our subjective probabilities, our subjective probabilities can ground probability discounting. (shrink)

Uniformity in human actions and attitudes incumbent with the ceteris paribus clause of folk psychology lucidly transits moral thoughts into the domain of subject versus object-centric explorations. In Zettel, Wittgenstein argues, “Concepts with fixed limits would demand uniformity of behaviour, but where I am certain, someone else is uncertain. And that is the fact of nature.” (Wittgenstein 2007, 68). Reflecting on the moral principle of “ethical giving” revives a novel stance in modern moral philosophy. An “ethical giving” is a moral (...) position that looks at giving from the context of harmonizing the changing demands of situations with normative ethical principles. Despite giving more prominence to the query of intuition, the chapter brings up the justification of normative moral principles pertaining to their applications and purports. Human activities aimed at decision-making goals conducted by the moral compass are nothing but the sanction of certain ethical norms and rules. In this context, two principles, the normative aspect and the perspective aspect need to be expounded in parallel. The perspective-based principle seeks practical guides to action, whereas the normative aspect principle looks for the concrete moral justification behind it. Normatively based moral decisions hinge on the probabilities and interests of agents that can sometimes lead towards a better choice. Thomas Nagel’s thought sounds more appealing, since his idea of practical conflict bends towards “...conflict between values which are incomparable for reasons apart from uncertainty about the facts.” (Nagel 2013, 128). Positions on moral personality and equality of justice collide with the conception of verities of the agents’ reason that cogitate a minimal aspect on the morally significant properties (range properties), which can hardly be possessed by all human beings equally. This argument sounds reasonable in light of Singer’s thought of “the principle of equal consideration of interests.” (Singer 2003, 21–22) The concern of this section is deliberative about how an agent could balance the demand of moral situations and the spirit of the moral principle devoid of being close to the relative truth. The conception of the moral decision remains capricious in line with the agent’s mood, time, and situation. The germane queries are: (a) How could one get the simpliciter of moral balance in “ethical giving” or offering help to the poor, orphans, and so on, who need helps from the agents and society? (b) Can we find any universalized principle in defense of ethical giving? (shrink)

In the following we will investigate whether von Mises’ frequency interpretation of probability can be modified to make it philosophically acceptable. We will reject certain elements of von Mises’ theory, but retain others. In the interpretation we propose we do not use von Mises’ often criticized ‘infinite collectives’ but we retain two essential claims of his interpretation, stating that probability can only be defined for events that can be repeated in similar conditions, and that exhibit frequency stabilization. The central idea (...) of the present article is that the mentioned ‘conditions’ should be well-defined and ‘partitioned’. More precisely, we will divide probabilistic systems into object, initializing, and probing subsystem, and show that such partitioning allows to solve problems. Moreover we will argue that a key idea of the Copenhagen interpretation of quantum mechanics (the determinant role of the observing system) can be seen as deriving from an analytic definition of probability as frequency. Thus a secondary aim of the article is to illustrate the virtues of analytic definition of concepts, consisting of making explicit what is implicit. (shrink)

Cloud Computing is a developing field and lean toward by numerous one at current yet it's rage is part more rely upon its execution which thusly is excessively rely upon the powerful booking algorithm and load adjusting . In this paper we address this issue and propose an algorithm for private cloud which has high throughput and for open cloud which address the issue of condition awareness likewise with execution. To enhance the throughput in private cloud SJF is utilized for (...) planning and to conquer shape the issue of starvation we utilize limited pausing. For stack adjusting we screen the heap and dispatch the activity to the minimum stacked VM. To acquire advantage and to have open door for future upgrade out in the open cloud condition cognizance is the key factor and for better execution and load adjusting likewise wanted. While stack adjusting enhances the execution, the earth awareness increment the benefit of cloud suppliers. (shrink)

The theory of lower previsions is designed around the principles of coherence and sure-loss avoidance, thus steers clear of all the updating anomalies highlighted in Gong and Meng's "Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss, and Simpson's Paradox" except dilation. In fact, the traditional problem with the theory of imprecise probability is that coherent inference is too complicated rather than unsettling. Progress has been made simplifying coherent inference by demoting sets of probabilities from fundamental building blocks to secondary (...) representations that are derived or discarded as needed. (shrink)

It is argued that two observers with the same information may rightly disagree about the probability of an event that they are both observing. This is a correct way of describing the view of a lottery outcome from the perspective of a winner and from the perspective of an observer not connected with the winner - the outcome is improbable for the winner and not improbable for the unconnected observer. This claim is both argued for and extended by developing a (...) case in which a probabilistic inference is supported for one observer and not for another, though they relevantly differ only in perspective, not in any information that they have. It is pointed out, finally, that all probabilities are in this way dependent on perspective. (shrink)

A question, long discussed by legal scholars, has recently provoked a considerable amount of philosophical attention: ‘Is it ever appropriate to base a legal verdict on statistical evidence alone?’ Many philosophers who have considered this question reject legal reliance on bare statistics, even when the odds of error are extremely low. This paper develops a puzzle for the dominant theories concerning why we should eschew bare statistics. Namely, there seem to be compelling scenarios in which there are multiple sources of (...) incriminating statistical evidence. As we conjoin together different types of statistical evidence, it becomes increasingly incredible to suppose that a positive verdict would be impermissible. I suggest that none of the dominant views in the literature can easily accommodate such cases, and close by offering a diagnosis of my own. (shrink)

Bayesians often appeal to “merging of opinions” to rebut charges of excessive subjectivity. But what happens in the short run is often of greater interest than what happens in the limit. Seidenfeld and coauthors use this observation as motivation for investigating the counterintuitive short run phenomenon of dilation, since, they allege, dilation is “the opposite” of asymptotic merging of opinions. The measure of uncertainty relevant for dilation, however, is not the one relevant for merging of opinions. We explicitly investigate the (...) short run behavior of the metric relevant for merging, and show that dilation is independent of the opposite of merging. (shrink)

It could be argued that tort law is failing, and arguably an example of this failure is the recent public liability and insurance (‘PL&I’) crisis. A number of solutions have been proposed, but ultimately the chosen solution should address whatever we take to be the cause of this failure. On one account, the PL&I crisis is a result of an unwarranted expansion of the scope of tort law. Proponents of this position sometimes argue that the duty of care owed by (...) defendants to plaintiffs has expanded beyond reasonable levels, such that parties who were not really responsible for another’s misfortune are successfully sued, while those who really were to blame get away without taking any responsibility. However people should take responsibility for their actions, and the only likely consequence of allowing them to shirk it is that they and others will be less likely to exercise due care in the future, since the deterrents of liability and of no compensation for accidentally self-imposed losses will not be there. Others also argue that this expansion is not warranted because it is inappropriately fueled by ‘deep pocket’ considerations rather than by considerations of fault. They argue that the presence of liability insurance sways the judiciary to award damages against defendants since they know that insurers, and not the defendant personally, will pay for it in the end anyway. But although it may seem that no real person has to bear these burdens when they are imposed onto insurers, in reality all of society bears them collectively when insurers are forced to hike their premiums to cover these increasing damages payments. In any case, it seems unfair to force insurers to cover these costs simply because they can afford to do so. If such an expansion is indeed the cause of the PL&I crisis, then a contraction of the scope of tort liability, and a pious return to the fault principle, might remedy the situation. However it could also be argued that inadequate deterrence is the cause of this crisis. On this account the problem would lie not with the tort system’s continued unwarranted expansion, but in the fact that defendants really have been too careless. If prospective injurers were appropriately deterred from engaging in unnecessarily risky activities, then fewer accidents would ever occur in the first place, and this would reduce the need for litigation at its very source. If we take this to be the cause of tort law’s failure then our solution should aim to improve deterrence. Glen Robinson has argued that improved deterrence could be achieved if plaintiffs were allowed to sue defendants for wrongful exposure to ongoing risks of future harm, even in the absence of currently materialized losses. He argues that at least in toxic injury type cases the tortious creation of risk [should be seen as] an appropriate basis of liability, with damages being assessed according to the value of the risk, as an alternative to forcing risk victims to abide the outcome of the event and seek damages only if and when harm materializes. In a sense, Robinson wishes to treat newly-acquired wrongful risks as de-facto wrongful losses, and these are what would be compensated in liability for risk creation (‘LFRC’) cases. Robinson argues that if the extent of damages were fixed to the extent of risk exposure, all detected unreasonable risk creators would be forced to bear the costs of their activities, rather than only those who could be found responsible for another’s injuries ‘on the balance of probabilities’. The incidence of accidents should decrease as a result of improved deterrence, reduce the ‘suing fest’, and so resolve the PL&I crisis. So whilst the first solution involves contracting the scope of tort liability, Robinson’s solution involves an expansion of its scope. However Robinson acknowledges that LFRC seems prima facie incompatible with current tort principles which in the least require the presence of plaintiff losses, defendant fault, and causation to be established before making defendants liable for plaintiffs’ compensation. Since losses would be absent in LFRC cases by definition, the first evidentiary requirement would always be frustrated, and in its absence proof of defendant fault and causation would also seem scant. If such an expansion of tort liability were not supported by current tort principles then it would be no better than proposals to switch accident law across to no-fault, since both solutions would require comprehensive legal reform. However Robinson argues that the above three evidentiary requirements could be met in LFRC cases to the same extent that they are met in other currently accepted cases, and hence that his solution would therefore be preferable to no-fault solutions as it would only require incremental but not comprehensive legal reform. Although I believe that actual losses should be present before allowing plaintiffs to seek compensation, I will not present a positive argument for this conclusion. My aim in this paper is not to debate the relative merits of Robinson’s solution as compared to no-fault solutions, nor to determine which account of the cause of the PL&I crisis is closer to the truth, but rather to find out whether Robinson’s solution would indeed require less radical legal reform than, for example, proposed no-fault solutions. I will argue that Robinson fails to show that current tort principles would support his proposed solution, and hence that his solution is at best on an even footing with no-fault solutions since both would require comprehensive legal reform. (shrink)

This paper defends the heretical view that, at least in some cases, we ought to assign legal liability based on purely statistical evidence. The argument draws on prominent civil law litigation concerning pharmaceutical negligence and asbestos-poisoning. The overall aim is to illustrate moral pitfalls that result from supposing that it is never appropriate to rely on bare statistics when settling a legal dispute.

A longstanding issue in attempts to understand the Everett (Many-Worlds) approach to quantum mechanics is the origin of the Born rule: why is the probability given by the square of the amplitude? Following Vaidman, we note that observers are in a position of self-locating uncertainty during the period between the branches of the wave function splitting via decoherence and the observer registering the outcome of the measurement. In this period it is tempting to regard each branch as equiprobable, but we (...) argue that the temptation should be resisted. Applying lessons from this analysis, we demonstrate (using methods similar to those of Zurek's envariance-based derivation) that the Born rule is the uniquely rational way of apportioning credence in Everettian quantum mechanics. In doing so, we rely on a single key principle: changes purely to the environment do not affect the probabilities one ought to assign to measurement outcomes in a local subsystem. We arrive at a method for assigning probabilities in cases that involve both classical and quantum self-locating uncertainty. This method provides unique answers to quantum Sleeping Beauty problems, as well as a well-defined procedure for calculating probabilities in quantum cosmological multiverses with multiple similar observers. (shrink)

When do probability distribution functions (PDFs) about future climate misrepresent uncertainty? How can we recognise when such misrepresentation occurs and thus avoid it in reasoning about or communicating our uncertainty? And when we should not use a PDF, what should we do instead? In this paper we address these three questions. We start by providing a classification of types of uncertainty and using this classification to illustrate when PDFs misrepresent our uncertainty in a way that may adversely affect decisions. We (...) then discuss when it is reasonable and appropriate to use a PDF to reason about or communicate uncertainty about climate. We consider two perspectives on this issue. On one, which we argue is preferable, available theory and evidence in climate science basically excludes using PDFs to represent our uncertainty. On the other, PDFs can legitimately be provided when resting on appropriate expert judgement and recognition of associated risks. Once we have specified the border between appropriate and inappropriate uses of PDFs, we explore alternatives to their use. We briefly describe two formal alternatives, namely imprecise probabilities and possibilistic distribution functions, as well as informal possibilistic alternatives. We suggest that the possibilistic alternatives are preferable. -/- . (shrink)

Using “brute reason” I will show why there can be only one valid interpretation of probability. The valid interpretation turns out to be a further refinement of Popper’s Propensity interpretation of probability. Via some famous probability puzzles and new thought experiments I will show how all other interpretations of probability fail, in particular the Bayesian interpretations, while these puzzles do not present any difficulties for the interpretation proposed here. In addition, the new interpretation casts doubt on some concepts often taken (...) as basic and unproblematic, like rationality, utility and expectation. This in turn has implications for decision theory, economic theory and the philosophy of physics. (shrink)

I argue that any broadly dispositional analysis of probability will either fail to give an adequate explication of probability, or else will fail to provide an explication that can be gainfully employed elsewhere (for instance, in empirical science or in the regulation of credence). The diversity and number of arguments suggests that there is little prospect of any successful analysis along these lines.

Moss (2018) argues that rational agents are best thought of not as having degrees of belief in various propositions but as having beliefs in probabilistic contents, or probabilistic beliefs. Probabilistic contents are sets of probability functions. Probabilistic belief states, in turn, are modeled by sets of probabilistic contents, or sets of sets of probability functions. We argue that this Mossean framework is of considerable interest quite independently of its role in Moss’ account of probabilistic knowledge or her semantics for epistemic (...) modals and probability operators. It is an extremely general model of uncertainty. Indeed, it is at least as general and expressively powerful as every other current imprecise probability framework, including lower probabilities, lower previsions, sets of probabilities, sets of desirable gambles, and choice functions. In addition, we partially answer an important question that Moss leaves open, viz., why should rational agents have consistent probabilistic beliefs? We show that an important subclass of Mossean believers avoid Dutch bookability iff they have consistent probabilistic beliefs. (shrink)

The major competing statistical paradigms share a common remarkable but unremarked thread: in many of their inferential applications, different probability interpretations are combined. How this plays out in different theories of inference depends on the type of question asked. We distinguish four question types: confirmation, evidence, decision, and prediction. We show that Bayesian confirmation theory mixes what are intuitively “subjective” and “objective” interpretations of probability, whereas the likelihood-based account of evidence melds three conceptions of what constitutes an “objective” probability.

The study investigated factors that influence the uptake of maternal healthcare services by women in Zimbabwe, using a logit model. Data from the Zimbabwe Demographic Health Survey (ZDHS, 2015) was used. Deteriorating maternal health indicators motivated the study. The effect of socio-economic and demographic factors on the probability of utilising maternal healthcare services was examined. Descriptive statistics and a logit model were used for data analysis. Results from the logit model show that region of residence, insurance cover, educational level, employment (...) status, maternal age, birth order, place of residence, number of living children, maternal age and household income all influence the utilisation of maternal healthcare services by women in Zimbabwe. Basing on research findings, the study recommends that relevant authorities make more available vocational training centres and education institutions since education was found to influence the uptake of maternal healthcare services. There is need to encourage family planning so as to reduce the number of children, especially among the apostolic sect, which affects the uptake of maternal healthcare. Compulsory national health insurance schemes could be adopted to mitigate the effect of low income that discourages the use of institutional facilities for delivery. The issue of balanced regional development needs to be pursued through accelerating devolution to ensure equal access to maternal healthcare facilities in all provinces. (shrink)

This paper argues for the importance of Chapter 33 of Book 2 of Locke's _Essay Concerning Human Understanding_ ("Of the Association of Ideas) both for Locke's own philosophy and for its subsequent reception by Hume. It is argued that in the 4th edition of the Essay of 1700, in which the chapter was added, Locke acknowledged that many beliefs, particularly in religion, are not voluntary and cannot be eradicated through reason and evidence. The author discusses the origins of the chapter (...) in Locke's own earlier writings on madness and in discussions of Enthusiasm in religion. While recognizing association of ideas as derived through custom and habit is the source of prejudice as Locke argued, Hume went on to show how it also is the basis for what Locke himself called "the highest degree of probability", namely "constant and never-failing Experience in like cases" and our belief in “steady and regular Causes.”. (shrink)

This paper offers and account of the "system" of probable reasoning presented in Hume's Treatise and first Enquiry. The system is sceptical because it takes our beliefs to be the product of naturally occurring psychological mechanisms rather than logically sound judgment, and because it declares those beliefs to be ultimately unjustifiable. This paper explains how Hume was nonetheless able to provide for a logic of probable reasoning, grounded on natural, but unjustifiable beliefs.

In Gregory the Great’s Pastoral Care the balance of the Christian life of the clergy not only permeates Gregory’s discussions in each major section of the book but also this theological motif served him to challenge the tendency of the clergy of his times to have a negative attitude towards the active life.

An examination of the role played by general rules in Hume's positive (nonskeptical) epistemology. General rules for Hume are roughly just general beliefs. The difference between justified and unjustified belief is a matter of the influence of good versus bad general rules, the good general rules being the "extensive" and "constant" ones.

The problem of probabilities of conditionals is one of the long-standing puzzles in philosophy of language. We defend and update Adams' solution to the puzzle: the probability of an epistemic conditional is not the probability of a proposition, but a probability under a supposition. -/- Close inspection of how a triviality result unfolds in a concrete scenario does not provide counterexamples to the view that probabilities of conditionals are conditional probabilities: instead, it supports the conclusion that (...) class='Hi'>probabilities of conditionals violate standard probability theory. -/- This does not call into question probability theory per se; rather, it calls for a more careful understanding of its role: probability theory is a theory of probabilities of propositions; but as conditionals do not express propositions, their probabilities are not subject to the standard laws. -/- We argue that both conditional probabilities and probabilities of conditionals are best understood in terms of the dynamics of supposing, modeled as a restriction operation on a probability space. This version of the suppositionalist view allows us to connect Adams' Thesis to the widely held restrictor view of the semantics of conditionals. -/- We address two common objections to Adams' view: that the relevant probabilities are ‘probabilities only in name’, and that giving up conditional propositions puts us at a disadvantage when it comes to interpreting compounds. -/- Finally, we argue that some putative counterexamples to Adams' Thesis can be diagnosed as fallacies of probabilistic reasoning: they arise from applying to conditionals laws of standard probability theory which are invalid for them. (shrink)

A probability aggregation rule assigns to each profile of probability functions across a group of individuals (representing their individual probability assignments to some propositions) a collective probability function (representing the group's probability assignment). The rule is “non-manipulable” if no group member can manipulate the collective probability for any proposition in the direction of his or her own probability by misrepresenting his or her probability function (“strategic voting”). We show that, except in trivial cases, no probability aggregation rule satisfying two mild (...) conditions (non-dictatorship and consensus preservation) is non-manipulable. (shrink)

Logical Probability (LP) is strictly distinguished from Statistical Probability (SP). To measure semantic information or confirm hypotheses, we need to use sampling distribution (conditional SP function) to test or confirm fuzzy truth function (conditional LP function). The Semantic Information Measure (SIM) proposed is compatible with Shannon’s information theory and Fisher’s likelihood method. It can ensure that the less the LP of a predicate is and the larger the true value of the proposition is, the more information there is. So the (...) SIM can be used as Popper's information criterion for falsification or test. The SIM also allows us to optimize the true-value of counterexamples or degrees of disbelief in a hypothesis to get the optimized degree of belief, i. e. Degree of Confirmation (DOC). To explain confirmation, this paper 1) provides the calculation method of the DOC of universal hypotheses; 2) discusses how to resolve Raven Paradox with new DOC and its increment; 3) derives the DOC of rapid HIV tests: DOC of “+” =1-(1-specificity)/sensitivity, which is similar to Likelihood Ratio (=sensitivity/(1-specificity)) but has the upper limit 1; 4) discusses negative DOC for excessive affirmations, wrong hypotheses, or lies; and 5) discusses the DOC of general hypotheses with GPS as example. (shrink)

How were reliable predictions made before Pascal and Fermat's discovery of the mathematics of probability in 1654? What methods in law, science, commerce, philosophy, and logic helped us to get at the truth in cases where certainty was not attainable? The book examines how judges, witch inquisitors, and juries evaluated evidence; how scientists weighed reasons for and against scientific theories; and how merchants counted shipwrecks to determine insurance rates. Also included are the problem of induction before Hume, design arguments for (...) the existence of God, and theories on how to evaluate scientific and historical hypotheses. It is explained how Pascal and Fermat's work on chance arose out of legal thought on aleatory contracts. The book interprets pre-Pascalian unquantified probability in a generally objective Bayesian or logical probabilist sense. (shrink)

I examine what the mathematical theory of random structures can teach us about the probability of Plenitude, a thesis closely related to David Lewis's modal realism. Given some natural assumptions, Plenitude is reasonably probable a priori, but in principle it can be (and plausibly it has been) empirically disconfirmed—not by any general qualitative evidence, but rather by our de re evidence.

I argue that when we use ‘probability’ language in epistemic contexts—e.g., when we ask how probable some hypothesis is, given the evidence available to us—we are talking about degrees of support, rather than degrees of belief. The epistemic probability of A given B is the mind-independent degree to which B supports A, not the degree to which someone with B as their evidence believes A, or the degree to which someone would or should believe A if they had B as (...) their evidence. My central argument is that the degree-of-support interpretation lets us better model good reasoning in certain cases involving old evidence. Degree-of-belief interpretations make the wrong predictions not only about whether old evidence confirms new hypotheses, but about the values of the probabilities that enter into Bayes’ Theorem when we calculate the probability of hypotheses conditional on old evidence and new background information. (shrink)

In the evolution of the vertebrates and probably a few other animals (Metazoa), biological values have been translated (subjectivized) into affective experience that necessarily involves the consciousness of external objects/events (as different from one’s body), which is tantamount to the origins of subjectivity. Mammals, birds and other vertebrates are experiencing subjects even though their negative and positive experience greatly vary in scope. Some mammals are capable of vicarious experience and may act as empathic agents, and some of them, at least (...) the great apes, use true reflective self-consciousness and thus perceive themselves as agents, which generates attributive feelings. The balance of positive and negative experience determines the intrinsic value of (an individual) life. Every subjective life is autotelic in striving to maximize this balance. A subjective life may also have a social value that is measured in terms of the impact on intrinsic values of other lives. The social value of life is contingent upon an agency, that is, conscious intentional actions that impact intrinsic value of other lives. The difference between the social value of a subjective life and an instrumental value of an individual comes down to the difference between agent causation and event causation. The moral agency refers to a subcategory of agent causation that involves the awareness of impact on another subject’s wellbeing (interests). The moral agency is at present known only in the hominids (including the chimpanzees) which understand causality and use reflective self-consciousness, which in turn enables them to perceive themselves as agents and attribute to themselves responsibility. The moral agency originated as a motivational mechanism of reciprocity execution , and thus as an adaptation for group life, which is why it favors ingroup members and often promotes norms that harm other groups. The human moral agency is frequently used by third parties to implement group norms that are based on ideologies (religious or secular) and may actually harm both group members and the entire groups. Any received, bioculturally evolved morality is unlikely to be good in either absolute or universal sense. Therefore, the moral capacity alone does not make a human life categorically more valuable, even if human motivation were dominated by moral agency (which is true only of some people). The life of a vertebrate has, therefore, two values, intrinsic and social. Each can be negative or positive, and may vary to a large extent independently of the other, whereby a joint value of a subjective life cannot be sensibly assessed and compared without prior assessments of the intrinsic and social component separately. In the absence of objective reasons to rate the intrinsic value of a human life as categorically higher than that of other mentally advanced mammals, and in consideration of the observed range of social values of human lives, some of which approach zero and some are highly negative (lower than any thinkable negative values of non-human lives), the doctrine of extraordinary and inalienable (innate) human „dignity” is groundless and unethical, as it leads to a depreciation of the lives of non-human subjects, and often preempts the need to impart a real social value to one’s own life. (shrink)

There is a trade-off between specificity and accuracy in existing models of belief. Descriptions of agents in the tripartite model, which recognizes only three doxastic attitudes—belief, disbelief, and suspension of judgment—are typically accurate, but not sufficiently specific. The orthodox Bayesian model, which requires real-valued credences, is perfectly specific, but often inaccurate: we often lack precise credences. I argue, first, that a popular attempt to fix the Bayesian model by using sets of functions is also inaccurate, since it requires us to (...) have interval-valued credences with perfectly precise endpoints. We can see this problem as analogous to the problem of higher order vagueness. Ultimately, I argue, the only way to avoid these problems is to endorse Insurmountable Unclassifiability. This principle has some surprising and radical consequences. For example, it entails that the trade-off between accuracy and specificity is in-principle unavoidable: sometimes it is simply impossible to characterize an agent’s doxastic state in a way that is both fully accurate and maximally specific. What we can do, however, is improve on both the tripartite and existing Bayesian models. I construct a new model of belief—the minimal model—that allows us to characterize agents with much greater specificity than the tripartite model, and yet which remains, unlike existing Bayesian models, perfectly accurate. (shrink)

Hynek Bartos does the field of ancient philosophy a great service by detailing the influence of early Greek thinkers (such as Heraclitus, Empedocles, Anaxagoras, Democritus, and Diogenes of Apollonia) on the Hippocratic work On Regimen, and by demonstrating that work’s innovative engagement with contemporary scientific and philosophical concepts as well as its direct influence on Plato and Aristotle. His study usefully counteracts the lamentable tendency among ancient philosophers to ignore or downplay the influence of medical literature on philosophy in general, (...) and to heap scorn on this text in particular, which Kirk, Raven, and Schofield considered ‘an eclectic and very superficial quasi- philosophical treatise’ and Barnes famously called ‘a silly farrago of ill-digested Presocratic opinions’. (shrink)

According to Stephen Finlay, ‘A ought to X’ means that X-ing is more conducive to contextually salient ends than relevant alternatives. This in turn is analysed in terms of probability. I show why this theory of ‘ought’ is hard to square with a theory of a reason’s weight which could explain why ‘A ought to X’ logically entails that the balance of reasons favours that A X-es. I develop two theories of weight to illustrate my point. I first look (...) at the prospects of a theory of weight based on expected utility theory. I then suggest a simpler theory. Although neither allows that ‘A ought to X’ logically entails that the balance of reasons favours that A X-es, this price may be accepted. For there remains a strong pragmatic relation between these claims. (shrink)

Once upon a time, some thought that indicative conditionals could be effectively analyzed as material conditionals. Later on, an alternative theoretical construct has prevailed and received wide acceptance, namely, the conditional probability of the consequent given the antecedent. Partly following critical remarks recently ap- peared in the literature, we suggest that evidential support—rather than conditional probability alone—is key to understand indicative conditionals. There have been motivated concerns that a theory of evidential conditionals (unlike their more tra- ditional counterparts) cannot generate (...) a sufficiently interesting logical system. Here, we will describe results dispelling these worries. Happily, and perhaps surprisingly, appropriate technical variations of Ernst Adams’s classical approach allow for the construction of a logic of evidential conditionals with distinctive fea- tures, which is also well-behaved and reasonably strong. (shrink)