Meta-induction, in its various forms, is an imitative prediction method, where the prediction methods and the predictions of other agents are imitated to the extent that those methods or agents have proven successful in the past. In past work, Schurz demonstrated the optimality of meta-induction as a method for predicting unknown events and quantities. However, much recent discussion, along with formal and empirical work, on the Wisdom of Crowds has extolled the virtue of diverse and independent judgment as essential to (...) maintenance of 'wise crowds'. This suggests that meta-inductive prediction methods could undermine the wisdom of the crowd inasmuch these methods recommend that agents imitate the predictions of other agents. In this article, we evaluate meta-inductive methods with a focus on the impact on a group's performance that may result from including meta-inductivists among its members. In addition to considering cases of global accessibility (i.e., cases where the judgments of all members of the group are available to all of the group's members), we consider cases where agents only have access to the judgments of other agents within their own local neighborhoods. (shrink)

The article proceeds upon the assumption that the beliefs and degrees of belief of rational agents satisfy a number of constraints, including: consistency and deductive closure for belief sets, conformity to the axioms of probability for degrees of belief, and the Lockean Thesis concerning the relationship between belief and degree of belief. Assuming that the beliefs and degrees of belief of both individuals and collectives satisfy the preceding three constraints, I discuss what further constraints may be imposed on the aggregation (...) of beliefs and degrees of belief. Some possibility and impossibility results are presented. The possibility results suggest that the three proposed rationality constraints are compatible with reasonable aggregation procedures for belief and degree of belief. (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)

In attempting to form rational personal probabilities by direct inference, it is usually assumed that one should prefer frequency information concerning more specific reference classes. While the preceding assumption is intuitively plausible, little energy has been expended in explaining why it should be accepted. In the present article, I address this omission by showing that, among the principled policies that may be used in setting one’s personal probabilities, the policy of making direct inferences with a preference for frequency information for (...) more specific reference classes yields personal probabilities whose accuracy is optimal, according to all proper scoring rules, in situations where all of the relevant frequency information is point-valued. Assuming that frequency information for narrower reference classes is preferred, when the relevant frequency statements are point-valued, a dilemma arises when choosing whether to make a direct inference based upon relatively precise-valued frequency information for a broad reference class, R, or upon relatively imprecise-valued frequency information for a more specific reference class, R*. I address such cases, by showing that it is often possible to make a precise-valued frequency judgment regarding R* based on precise-valued frequency information for R, using standard principles of direct inference. Having made such a frequency judgment, the dilemma of choosing between and is removed, and one may proceed by using the precise-valued frequency estimate for the more specific reference class as a premise for direct inference. (shrink)

The article begins by describing two longstanding problems associated with direct inference. One problem concerns the role of uninformative frequency statements in inferring probabilities by direct inference. A second problem concerns the role of frequency statements with gerrymandered reference classes. I show that past approaches to the problem associated with uninformative frequency statements yield the wrong conclusions in some cases. I propose a modification of Kyburg’s approach to the problem that yields the right conclusions. Past theories of direct inference have (...) postponed treatment of the problem associated with gerrymandered reference classes by appealing to an unexplicated notion of projectability . I address the lacuna in past theories by introducing criteria for being a relevant statistic . The prescription that only relevant statistics play a role in direct inference corresponds to the sort of projectability constraints envisioned by past theories. (shrink)

The applicability of Bayesian conditionalization in setting one’s posterior probability for a proposition, α, is limited to cases where the value of a corresponding prior probability, PPRI(α|∧E), is available, where ∧E represents one’s complete body of evidence. In order to extend probability updating to cases where the prior probabilities needed for Bayesian conditionalization are unavailable, I introduce an inference schema, defeasible conditionalization, which allows one to update one’s personal probability in a proposition by conditioning on a proposition that represents a (...) proper subset of one’s complete body of evidence. While defeasible conditionalization has wider applicability than standard Bayesian conditionalization (since it may be used when the value of a relevant prior probability, PPRI(α|∧E), is unavailable), there are circumstances under which some instances of defeasible conditionalization are unreasonable. To address this difficulty, I outline the conditions under which instances of defeasible conditionalization are defeated. To conclude the article, I suggest that the prescriptions of direct inference and statistical induction can be encoded within the proposed system of probability updating, by the selection of intuitively reasonable prior probabilities. (shrink)

In a recent article, Joel Pust argued that direct inference based on reference properties of differing arity are incommensurable, and so direct inference cannot be used to resolve the Sleeping Beauty problem. After discussing the defects of Pust's argument, I offer reasons for thinking that direct inferences based on reference properties of differing arity are commensurable, and that we should prefer direct inferences based on logically stronger reference properties, regardless of arity.

The present article illustrates a conflict between the claim that rational belief sets are closed under deductive consequences, and a very inclusive claim about the factors that are sufficient to determine whether it is rational to believe respective propositions. Inasmuch as it is implausible to hold that the factors listed here are insufficient to determine whether it is rational to believe respective propositions, we have good reason to deny that rational belief sets are closed under deductive consequences.

In previous work, we studied four well known systems of qualitative probabilistic inference, and presented data from computer simulations in an attempt to illustrate the performance of the systems. These simulations evaluated the four systems in terms of their tendency to license inference to accurate and informative conclusions, given incomplete information about a randomly selected probability distribution. In our earlier work, the procedure used in generating the unknown probability distribution (representing the true stochastic state of the world) tended to yield (...) probability distributions with moderately high entropy levels. In the present article, we present data charting the performance of the four systems when reasoning in environments of various entropy levels. The results illustrate variations in the performance of the respective reasoning systems that derive from the entropy of the environment, and allow for a more inclusive assessment of the reliability and robustness of the four systems. (shrink)

It is well known that there are, at least, two sorts of cases where one should not prefer a direct inference based on a narrower reference class, in particular: cases where the narrower reference class is gerrymandered, and cases where one lacks an evidential basis for forming a precise-valued frequency judgment for the narrower reference class. I here propose (1) that the preceding exceptions exhaust the circumstances where one should not prefer direct inference based on a narrower reference class, and (...) (2) that minimal frequency information for a narrower (non-gerrymandered) reference class is sufficient to yield the defeat of a direct inference for a broader reference class. By the application of a method for inferring relatively informative expected frequencies, I argue that the latter claim does not result in an overly incredulous approach to direct inference. The method introduced here permits one to infer a relatively informative expected frequency for a reference class R', given frequency information for a superset of R' and/or frequency information for a sample drawn from R'. (shrink)

Formal and empirical work on the Wisdom of Crowds has extolled the virtue of diverse and independent judgment as essential to the maintenance of ‘wise crowds’. In other words, com-munication and imitation among members of a group may have the negative effect of decreasing the aggregate wisdom of the group. In contrast, it is demonstrable that certain meta-inductive methods provide optimal means for predicting unknown events. Such meta-inductive methods are essentially imitative, where the predictions of other agents are imitated to (...) the extent that those agents have proven successful in the past. Despite the (self-serving) optimality of meta-inductive methods, their imitative nature may undermine the ‘wisdom of the crowd’, since these methods recommend that agents imitate the predictions of other agents. In this paper, I present a replication of selected results of Thorn and Schurz, illustrating the effect on a group’s performance that may result from having members of a group adopt meta-inductive methods. I then expand on the work of Thorn and Schurz by considering three simple measures by which meta-inductive prediction methods may improve their own performance, while simultaneously mitigating their negative impact on group performance. The effects of adopting these maneuvers are investigated using computer simulations. (shrink)

Noncompete agreements are among the most commonly used methods to restrict employment. Upwards of 38% of American workers, many of which are low-wage workers, have signed noncompete agreements. These agreements effectively hold those workers hostage to their current employer. This project analyzes the use of noncompete clauses in employment contracts with low-wage workers. We show that noncompetes with low-wage workers are not enforceable in the U.S.; employers nevertheless continue to include noncompete clauses in employment contracts with low-wage workers. We survey (...) states’ attempts to regulate the use of (even unenforceable) noncompetes and argue that current legislation is ineffective at preventing employers from including noncompetes in low-wage worker contracts. We argue that employers’ use of (even unenforceable) noncompete agreements with low-wage workers is wrongfully exploitative of those workers, and we provide suggestions for how states can effectively regulate the use of noncompetes, and thus protect low-wage workers from exploitation, using Virginia’s recently passed noncompete bill as a model. (shrink)

There are numerous formal systems that allow inference of new conditionals based on a conditional knowledge base. Many of these systems have been analysed theoretically and some have been tested against human reasoning in psychological studies, but experiments evaluating the performance of such systems are rare. In this article, we extend the experiments in [19] in order to evaluate the inferential properties of c-representations in comparison to the well-known Systems P and Z. Since it is known that System Z and (...) c-representations mainly differ in the sorts of inheritance inferences they allow, we discuss subclass inheritance and present experimental data for this type of inference in particular. (shrink)

An agent’s belief in a proposition, E0, is justified by an infinite regress of deferred justification just in case the belief that E0 is justified, and the justification for believing E0 proceeds from an infinite sequence of propositions, E0, E1, E2, etc., where, for all n ≥ 0, En+1 serves as the justification for En. In a number of recent articles, Atkinson and Peijnenburg claim to give examples where a belief is justified by an infinite regress of deferred justification. I (...) argue here that there is no reason to regard Atkinson and Peijnenburg’s examples as cases where a belief is so justified. My argument is supported by careful consideration of the grounds upon which relevant beliefs are held within Atkinson and Peijnenburg’s examples. (shrink)

We describe a prediction method called "Attractivity Weighting" (AW). In the case of cue-based paired comparison tasks, AW's prediction is based on a weighted average of the cue values of the most successful cues. In many situations, AW's prediction is based on the cue value of the most successful cue, resulting in behavior similar to Take-the-Best (TTB). Unlike TTB, AW has a desirable characteristic called "access optimality": Its long-run success is guaranteed to be at least as great as the most (...) successful cue. While access optimality is a desirable characteristic, concerns may be raised about the short-term performance of AW. To evaluate such concerns, we here present a study of AW's short-term performance. The results suggest that there is little reason to worry about the short-run performance of AW. Our study also shows that, in random sequences of paired comparison tasks, the behavior of AW and TTB is nearly indiscernible. (shrink)

In this article, I introduce the term “cognitivism” as a name for the thesis that degrees of belief are equivalent to full beliefs about truth-valued propositions. The thesis (of cognitivism) that degrees of belief are equivalent to full beliefs is equivocal, inasmuch as different sorts of equivalence may be postulated between degrees of belief and full beliefs. The simplest sort of equivalence (and the sort of equivalence that I discuss here) identifies having a given degree of belief with having a (...) full belief with a specific content. This sort of view was proposed in [C. Howson and P. Urbach, Scientific reasoning: the Bayesian approach. Chicago: Open Court (1996)].In addition to embracing a form of cognitivism about degrees of belief, Howson and Urbach argued for a brand of probabilism. I call a view, such as Howson and Urbach’s, which combines probabilism with cognitivism about degrees of belief “cognitivist probabilism”. In order to address some problems with Howson and Urbach’s view, I propose a view that incorperates several of modifications of Howson and Urbach’s version of cognitivist probabilism. The view that I finally propose upholds cognitivism about degrees of belief, but deviates from the letter of probabilism, in allowing that a rational agent’s degrees of belief need not conform to the axioms of probability, in the case where the agent’s cognitive resources are limited. (shrink)

Disaster response is a highly collaborative and critical process that requires the involvement of multiple emergency responders (ERs), ideally working together under a unified command, to enable a rapid and effective operational response. Following the 9/11 and 11/13 terrorist attacks and the devastation of hurricanes Katrina and Rita, it is apparent that inadequate communication and a lack of interoperability among the ERs engaged on-site can adversely affect disaster response efforts. Within this context, we present a scenario-based terrorism case study to (...) highlight the challenges of operational disaster command and response. In this article, which is based on the French emergency response doctrine, we outline a semantics-based common operational command system that is designed to guarantee an efficient information flow among ERs. Our focus is on offering to all ERs, a real-time operational picture of the situation in order to enable multilevel coordination among firefighters, police, healthcare units, public authorities, and other stakeholders. Our approach consolidates information to promote timely sharing of data among ERs. The proposed system is based on an ontology that has been developed to represent the different types of knowledge on the part of ERs, providing a shared vocabulary that covers a variety of interoperability concerns. (shrink)

Knowledge has almost always been treated as good, better than mere true belief, but it is remarkably difficult to explain what it is about knowledge that makes it better. I call this “the value problem.” I have previously argued that most forms of reliabilism cannot handle the value problem. In this article I argue that the value problem is more general than a problem for reliabilism, infecting a host of different theories, including some that are internalist. An additional problem is (...) that not all instances of true belief seem to be good on balance, so even if a given instance of knowing p is better than merely truly believing p, not all instances of knowing will be good enough to explain why knowledge has received so much attention in the history of philosophy. The article aims to answer two questions: What makes knowingp better than merely truly believing p? The answer involves an exploration of the connection between believing and the agency of the knower. Knowing is an act in which the knower gets credit for achieving truth. What makes some instances of knowing good enough to make the investigation of knowledge worthy of so much attention? The answer involves the connection between the good of believing truths of certain kinds and a good life. In the best kinds of knowing, the knower not only gets credit for getting the truth but also gets credit for getting a desirable truth. The kind of value that makes knowledge a fitting object of extensive philosophical inquiry is not independent of moral value and the wider values of a good life. (shrink)

This essay is devoted to the study of useful ways of thinking about the nature of interpretation, with particular attention being given to the so called normative character of mental explanation. My aim of illuminating the nature of interpretation will be accomplished by examining several views, some of which are common to both Donald Davidson and Daniel Dennett, concerning its unique characteristics as a method of prediction and explanation. Moreover, some of the views held by Davidson and Dennett will be (...) adopted, elaborated, and defended. The conclusions of these philosophers do not, however, form an acceptable whole. Thus I will attempt to moderate some of their views. In particular, I will attempt to show up the deficits of Davidson's view of the mental by defending the possibility some sort of psycho-physical reduction. Despite such philosophical pretensions, major parts of this essay will be devoted to sketching the foundations of a method for the interpretation of intentional behaviour which I take to embody the key features of our ordinary practice of interpretation. In particular, I will attempt to sketch the bases for a method of interpretation which is sensitive to the methodological considerations associated with the seemingly unique normative character of mental explanation. To this end, I will also investigate the question of how certain formal measures of coherence can be made to yield models for understanding the actual and possible bases of interpretation. (shrink)

Abstract In light of the complexity of unfolding disasters, the diversity of rapidly evolving events, the enormous amount of generated information, and the huge pool of casualties, emergency responders (ERs) may be overwhelmed and in consequence poor decisions may be made. In fact, the possibility of transporting the wounded victims to one of several hospitals and the dynamic changes in healthcare resource availability make the decision process more complex. To tackle this problem, we propose a multicriteria decision support service, based (...) on the Analytic Hierarchy Process (AHP) method, that aims to avoid overcrowding and outpacing the capacity of a hospital to effectively provide the best care to victims by finding out the most appropriate hospital that meets the victims’ needs. The proposed approach searches for the most appropriate healthcare institution that can effectively deal with the victims’ needs by considering the availability of the needed resources in the hospital, the victim’s wait time to receive the healthcare, and the transfer time that represents the hospital proximity to the disaster site. The evaluation and validation results showed that the assignment of hospitals was done successfully considering the needs of each victim and without overwhelming any single hospital. (shrink)

This paper argues that an emotion is a state of affectively perceiving its intentional object as falling under a "thick affective concept" A, a concept that combines cognitive and affective aspects in a way that cannot be pulled apart. For example, in a state of pity an object is seen as pitiful, where to see something as pitiful is to be in a state that is both cognitive and affective. One way of expressing an emotion is to assert that the (...) intentional object of the emotion falls under the thick affective concept distinctive of the emotion. I argue that the most basic kind of moral judgment is is this category. It has the form "That is A" (pitiful, contemptible, rude, etc.). Such judgments combine the features of cognitivism and motivational judgment internalism, an advantage that explains why we find moral weakness problematic in spite of its ubiquity. I then outline a process I call "thinning" the judgment, which explains how moral strength, weakness, and apathy arise. I argue that this process is necessary for moral reasoning and communication, in spite of its disadvantage in disengaging the agent's motivating emotion from the judgment. (shrink)

Abstract: In this essay I outline a radical kind of virtue theory I call exemplarism, which is foundational in structure but which is grounded in exemplars of moral goodness, direct reference to which anchors all the moral concepts in the theory. I compare several different kinds of moral theory by the way they relate the concepts of the good, a right act, and a virtue. In the theory I propose, these concepts, along with the concepts of a duty and of (...) a good life, are defined by reference to exemplars, identified directly through the emotion of admiration, not through a description. It is an advantage of the theory that what makes a good person good is not given a priori but is determined by empirical investigation. The same point applies to what good persons do and what states of affairs they aim at. The theory gives an important place to empirical investigation and narratives about exemplars analogous to the scientific investigation of natural kinds in the theory of direct reference. (shrink)

In a recent article in this journal, James Christensen, Tom Parr and David Axelsen argue that millionaire salaries are unjust and women have no grounds of fairness to unjust salaries in parity with men. They accept that disrespect is expressed toward women when they are paid less than men because of their gender. Their argument largely replicates a similar argument developed earlier by Anca Gheaus. By drawing on the distinction between ideal and nonideal theory, we argue that Christensen et al. (...) and Gheaus hold women to unacceptably high standards of justice and arguably higher standards than men are held to. (shrink)

Managing complex disaster situations is a challenging task because of the large number of actors involved and the critical nature of the events themselves. In particular, the different terminologies and technical vocabularies that are being exchanged among Emergency Responders may lead to misunderstandings. Maintaining a shared semantics for exchanged data is a major challenge. To help to overcome these issues, we elaborate a modular suite of ontologies called POLARISCO that formalizes the complex knowledge of the ERs. Such a shared vocabulary (...) resolves inconsistent terminologies and promotes semantic interoperability among ERs. In this work, we discuss developing POLARISCO as an extension of Basic Formal Ontology and the Common Core Ontologies. We conclude by presenting a real use-case to check the efficiency and applicability of the proposed ontology. (shrink)

Abstract In this paper I argue that to understand the ethics of belief we need to put it in a context of what we care about. Epistemic values always arise from something we care about and they arise only from something we care about. It is caring that gives rise to the demand to be epistemically conscientious. The reason morality puts epistemic demands on us is that we care about morality. But there may be a (small) class of beliefs which (...) it is not wrong to hold unconscientiously. I also argue that epistemic values enjoy a privileged place in the panorama of what we care about because they are entailed by anything we care about. That means that when there is a conflict between caring about knowledge or true belief and caring about something else, that conflict cannot be resolved simply by following the one we care about the most because caring about knowledge in any domain is entailed by caring about that domain. Finally, I argue that whereas caring demands different degrees of conscientiousness in different contexts, contextualism about knowledge is less plausible. (shrink)

This article explores the forms of moral repair that the wrongdoer has to perform in an attempt to make amends for her past wrongdoing, with a focus on the issues of interpersonal moral repair; that is, what a wrongdoer can do to merit her victim‘s forgiveness and achieve reconciliation with her community. The article argues against the very general demands of atonement that amount to an obligation to stop being someone who commits wrongs—to become a moral saint—and suggests a new (...) form of atonement that is more practical and useful in our everyday life. (shrink)

Stephen L. Pepper argues that lawyers and clients often act together in ways that their moral convictions would prevent them from acting individually. In an attempt to address this problem, I explore the nature of the attorney's responsibility to help her client reach autonomous decisions. To do this, I review the work of some prominent medical ethicists on a parallel to Pepper's problem in doctor-patient relationships.

Disaster response requires the cooperation of multiple emergency responder organizations (EROs). However, after‐action reports relating to large‐scale disasters identity communication difficulties among EROs as a major hindrance to collaboration. On the one hand, the use of two‐radio communication, based on multiple orthogonal frequencies and uneven coverage, has been shown to degrade inter‐organization communication. On the other hand, because they reflect different areas of expertise, EROs use differing terminologies, which are difficult to reconcile. These issues lead to ambiguities, misunderstandings, and inefficient (...) exchange of data and information among those involved, which can impede the response process and slow decision making. We, therefore, hypothesize that promoting semantic interoperability across ERO information systems might improve information exchange among stakeholders and thereby allow a more coherent response to the disaster. We propose an ontology‐based messaging service on the basis of the Emergency Data Exchange Language (EDXL) standards. The parties involved will continue to use the terminologies to which they are accustomed, but the system will resolve inconsistencies and thereby enhance mutual understanding among EROs by ensuring semantic translation of the exchanged information. The evaluation of the semantic translation demonstrated the effectiveness and accuracy of the proposed service. (shrink)

Persons are thought to have a special kind of value, often called "dignity," which, according to Kant, makes them both infinitely valuable and irreplaceably valuable. The author aims to identify what makes a person a person in a way that can explain both aspects of dignity. She considers five definitions of "person": (1) an individual substance of a rational nature (Boethius), (2) a self-conscious being (Locke), (3) a being with the capacity to act for ends (Kant), (4) a being with (...) the capacity to act for another (Kant), and (5) an incommunicably unique subject (Wojtyla). She argues that none is capable of grounding both aspects of dignity since they are incompatible kinds of value; it is impossible for the same thing to ground both. Human persons are infinitely valuable in virtue of shareable qualities of their nature, whereas they are irreplaceably valuable because of a nonqualitative feature of their personhood. (shrink)

Many theorists writing on the aftermath of wrongdoing have been influenced by Trudy Govier’s emphasis on interpersonal relationships. But George Sher has recently challenged this talk of relationships. Read descriptively, he argues, claims about the interpersonal effects of wrongdoing are either exaggerated or false. Read normatively, relationships add nothing to more traditional moral theory. In this essay, I argue that Govier’s relational framework both avoids Sher’s dilemma and enables her to develop the notion of respect for persons in ways that (...) improve upon traditional Kantian discussions. (shrink)

Individuals with ‘severe’ cognitive disabilities are primarily discussed in philosophy and bioethics to determine their moral status. In this paper it is argued that theories of moral status have limited relevance to the unjust ways in which people with cognitive disabilities are routinely treated in the actual world, which largely concerns their relegation to an inferior social status. I discuss three possible relationships between moral and social status, demonstrating that determinate answers about the moral status of individuals with ‘severe’ cognitive (...) disabilities are neither necessary nor sufficient for defending the imperative that they be treated as our social equals. (shrink)

In this paper I argue that there are two kinds of epistemic reasons. One kind is irreducibly first personal -- what I call deliberative reasons. The other kind is third personal -- what I call theoretical reasons. I argue that attending to this distinction illuminates a host of problems in epistemology in general and in religious epistemology in particular. These problems include (a) the way religious experience operates as a reason for religious belief, (b) how we ought to understand religious (...) testimony, (c) how religious authority can be justified, (d) the problem of religious disagreement, and (e) the reasonableness of religious conversion. (shrink)

Wrong beliefs, known by some as ‘alternative facts’, have proliferated lately in important areas of human life, including social, political, and public health domains. This can be and has been damaging. This brief article proposes an epistemological category classification of these wrong beliefs, with the following mappings: a) ‘No-Information’ marked by willful blindness produces ‘Empty Beliefs’; b) ‘Mis-Information’ yields ‘Mis(taken) Beliefs’; and c) ‘Dis-Information’ predicated on blatant distortions produces ‘Dis(torted) Beliefs’. This simple classification system, is perhaps epistemologically satisfying, and moreover (...) could have positive policy implications. (shrink)

This article develops a detailed, empirically driven analysis of the nature of the transition costs incurred in becoming disabled. Our analysis of the complex nature of these costs supports the claim that it can be wrong to cause disability, even if disability is just one way of being different. We also argue that close attention to the nature of transition costs gives us reason to doubt that well-being, including transitory impacts on well-being, is the only thing that should determine the (...) wrongness of causing or removing disability. Non-welfare considerations also defeat the claim that it is always wrong to cause disability. The upshot of these conclusions is that closer attention to the nature of transition costs supports disabled people who strenuously contest the assumption that their well-being is lower than nondisabled people. It also suggests that, in addition, disabled people should contest their opponents’ narrow account of how we should make ethical decisions regarding causing or failing to prevent disability. (shrink)

Digital phenotyping will potentially enable earlier detection and prediction of mental illness by monitoring human interaction with and through digital devices. Notwithstanding its promises, it is certain that a person’s digital phenotype will at times be at odds with their first-person testimony of their psychological states. In this paper, we argue that there are features of digital phenotyping in the context of psychiatry which have the potential to exacerbate the tendency to dismiss patients’ testimony and treatment preferences, which can be (...) instances of epistemic injustice. We first explain what epistemic injustice is, and why it is argued to be an extensive problem in health and disability settings. We then explain why epistemic injustice is more likely to apply with even greater force in psychiatric contexts, and especially where digital phenotyping may be involved. Finally, we offer some tentative suggestions of how epistemic injustice can be minimised in digital psychiatry. (shrink)

If God knows everything he must know the future, and if he knows the future he must know the future acts of his creatures. But then his creatures must act as he knows they will act. How then can they be free? This dilemma has a long history in Christian philosophy and is now as hotly disputed as ever. The medieval scholastics were virtually unanimous in claiming both that God is omniscient and that humans have free will, though they disagreed (...) in their accounts of how the two are compatible. With the Reformation the debate became even more lively since there were Protestant philosophers who denied both claims, and many philosophers ever since have either thought it impossible to reconcile them or have thought it possible only because they weaken one or the other. (shrink)