Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The visualization (...) is unusual in that it depicts the dynamics and structure of a computer model instead of that model’s target system, and because it is generated algorithmically. Using considerations from epistemology and aesthetics, we explore how this new kind of visualization increases scientific understanding of the content and function of computer models in systems biology to reduce epistemic opacity. (shrink)

In her black and white room, Mary doesn’t know what it is like to see red. Only after undergoing an experience as of something red and hence acquainting herself with red can Mary learn what it is like. But learning what it is like to see red requires more than simply becoming acquainted with it. To be acquainted with something is to know it, but such knowledge, as we argue, is object-knowledge rather than propositional-knowledge. To know what it is (...) like one must know an appropriate propositional answer to the question ‘what is it like?’. Despite this mismatch between object-knowledge and knowing an answer, we believe that acquaintance is crucial to Mary’s epistemic progress. When Mary leaves her black and white room, her new knowledge tempts one to think that she must come to know a candidate answer (a coarse-grained fact) that she didn’t know in her room. Since Mary already knows all the physical facts in her room, any additional facts she might learn appear to threaten physicalism. In reply, many physicalists have been attracted to the phenomenal concept strategy according to which Mary can come to have new knowledge and hence know a new answer to the question ‘what is it like to see red?’ by entertaining a coarse-grained fact under a concept she didn’t possess in her room – Mary learns a new fine-grained fact. We believe both of these accounts of Mary’s epistemic progress are mistaken. As we argue, Mary could know every fact (coarse-grained and fine-grained) that might serve as an answer to the question ‘what is it like to see red?’ and still not know what it is like. The physical world leaves no leftover coarse-grained facts for Mary to learn and because concepts are sharable, easy to possess, and easy to introduce, there are possible situations in which Mary, while in her black and white room, has every concept that might make a fine-grained difference. In short, even when Mary is granted a great deal of factual knowledge and vast conceptual resources, she may still not know an appropriate answer to the question ‘what is it like to see red?’. But in any such situation, Mary lacks acquaintance with red and on this basis we argue that in order to know what it is like, in order for Mary to know an appropriate answer, Mary’s propositional knowledge must be appropriately related to her acquaintance with red. (shrink)

Mark Coeckelbergh starts his book with a very powerful picture based on a real incident: On the 9th of January 2020, Robert Williams was wrongfully arrested by Detroit police officers in front of his two young daughters, wife and neighbors. For 18 hours the police would not disclose the grounds for his arrest (American Civil Liberties Union 2020; Hill 2020). The decision to arrest him was primarily based on a facial detection algorithm which matched Mr. Williams’ driving license photo with (...) the picture of a man who was suspected of watch theft two years earlier. Not only did the computer ‘get it wrong’ as one of the detectives said, when Mr. Williams made them aware that the picture of the suspect obviously wasn’t resembling him, the probably unreliable algorithm very likely contributed to racial discrimination (Hill 2020). It is well documented that many available facial detection algorithms at this time had significant problems (e.g. a comparably high false positive rate) with respect to black persons, like Mr. Williams (NIST 2019). Multiple causes may exist, such as unbalanced training datasets and insufficient optimization. Coeckelbergh compares the disturbing case of Mr. Williams with a political interpretation of Franz Kafka’s The Trial, where the protagonist, Josef K., is accused of an unspecified crime by an opaque, oppressive and absurd bureaucracy: “In the 21st-century United States, Josef K. is black and is falsely accused by an algorithm, without explanation” (p. 2). (shrink)

One cannot adequately understand the persistence of the achievement gap, Darby and Rury argue, until one knows and understands the history that continues to inflict all varieties of dignitary harm on Black people. The authors deploy the phrase, ‘color of mind’, to describe the deeply embedded attitudinal and institutional norms that diminish the intellect, character, and conduct of Black students – norms with a long history that continue to poison the school system. There is, of course, no dearth (...) of American scholarship on these themes, and the reader may be forgiven for thinking she will encounter little that isn’t already known. Fortunately, however, the tack the authors take deviates in several important ways from most scholarship. (shrink)

We might think that thought experiments are at their most powerful or most interesting when they produce new knowledge. This would be a mistake; thought experiments that seek understanding are just as powerful and interesting, and perhaps even more so. A growing number of epistemologists are emphasizing the importance of understanding for epistemology, arguing that it should supplant knowledge as the central notion. In this chapter, I bring the literature on understanding in epistemology to bear on explicating the different ways (...) that thought experiments increase three important kinds of understanding: explanatory, objectual and practical. (shrink)

Sometimes we learn through the use of imagination. The epistemology of imagination asks how this is possible. One barrier to progress on this question has been a lack of agreement on how to characterize imagination; for example, is imagination a mental state, ability, character trait, or cognitive process? This paper argues that we should characterize imagination as a cognitive ability, exercises of which are cognitive processes. Following dual process theories of cognition developed in cognitive science, the set of imaginative processes (...) is then divided into two kinds: one that is unconscious, uncontrolled, and effortless, and another that is conscious, controlled, and effortful. This paper outlines the different epistemological strengths and weaknesses of the two kinds of imaginative process, and argues that a dual process model of imagination helpfully resolves or clarifies issues in the epistemology of imagination and the closely related epistemology of thought experiments. (shrink)

What role does the imagination play in scientific progress? After examining several studies in cognitive science, I argue that one thing the imagination does is help to increase scientific understanding, which is itself indispensable for scientific progress. Then, I sketch a transcendental justification of the role of imagination in this process.

This is the introduction to the Routledge Companion to Thought Experiments.

John D. Norton is responsible for a number of influential views in contemporary philosophy of science. This paper will discuss two of them. The material theory of induction claims that inductive arguments are ultimately justified by their material features, not their formal features. Thus, while a deductive argument can be valid irrespective of the content of the propositions that make up the argument, an inductive argument about, say, apples, will be justified (or not) depending on facts about apples. The argument (...) view of thought experiments claims that thought experiments are arguments, and that they function epistemically however arguments do. These two views have generated a great deal of discussion, although there hasn’t been much written about their combination. I argue that despite some interesting harmonies, there is a serious tension between them. I consider several options for easing this tension, before suggesting a set of changes to the argument view that I take to be consistent with Norton’s fundamental philosophical commitments, and which retain what seems intuitively correct about the argument view. These changes require that we move away from a unitary epistemology of thought experiments and towards a more pluralist position. (shrink)

Philosophical conceptual analysis is an experimental method. Focusing on this helps to justify it from the skepticism of experimental philosophers who follow Weinberg, Nichols & Stich. To explore the experimental aspect of philosophical conceptual analysis, I consider a simpler instance of the same activity: everyday linguistic interpretation. I argue that this, too, is experimental in nature. And in both conceptual analysis and linguistic interpretation, the intuitions considered problematic by experimental philosophers are necessary but epistemically irrelevant. They are like variables introduced (...) into mathematical proofs which drop out before the solution. Or better, they are like the hypotheses that drive science, which do not themselves need to be true. In other words, it does not matter whether or not intuitions are accurate as descriptions of the natural kinds that undergird philosophical concepts; the aims of conceptual analysis can still be met. (shrink)

Traditionally, species have been treated as classes. In fact they may be considered individuals. The logical term “individual” has been confused with a biological synonym for “organism.” If species are individuals, then: 1) their names are proper, 2) there cannot be instances of them, 3) they do not have defining properties, 4) their constituent organisms are parts, not members. “ Species " may be defined as the most extensive units in the natural economy such that reproductive competition occurs among their (...) parts. Species are to evolutionary theory as firms are to economic theory: this analogy resolves many issues, such as the problems of “reality” and the ontological status of nomenclatorial types. (shrink)

Over the last few decades, virtue has become increasingly important in philosophy, psychology, cognitive science, and education. However, as each of these disciplines approaches virtue from a decidedly different perspective, it has proven difficult to come up with an understanding of virtue that satisfies the standards of all four disciplines. In their book, Jennifer Wright, Michael Warren, and Nancy Snow attempt to put forward such an understanding.

Scientists imagine for epistemic reasons, and these imaginings can be better or worse. But what does it mean for an imagining to be epistemically better or worse? There are at least three metaepistemological frameworks that present different answers to this question: epistemological consequentialism, deontic epistemology, and virtue epistemology. This paper presents empirical evidence that scientists adopt each of these different epistemic frameworks with respect to imagination, but argues that the way they do this is best explained if scientists are fundamentally (...) epistemic consequentialists about imagination. (shrink)

Joshua Greene has argued that the empirical findings of cognitive science have implications for ethics. In particular, he has argued (1) that people’s deontological judgments in response to trolley problems are strongly influenced by at least one morally irrelevant factor, personal force, and are therefore at least somewhat unreliable, and (2) that we ought to trust our consequentialist judgments more than our deontological judgments when making decisions about unfamiliar moral problems. While many cognitive scientists have rejected Greene’s dual-process theory of (...) moral judgment on empirical grounds, philosophers have mostly taken issue with his normative assertions. For the most part, these two discussions have occurred separately. The current analysis aims to remedy this situation by philosophically analyzing the implications of moral dilemma research using the CNI model of moral decision-making – a formalized, mathematical model that decomposes three distinct aspects of moral-dilemma judgments. In particular, we show how research guided by the CNI model reveals significant conceptual, empirical, and theoretical problems with Greene’s dual-process theory, thereby questioning the foundations of his normative conclusions. (shrink)

While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...) robot blame, namely the folk's willingness to ascribe inculpating mental states or "mens rea" to robots. In a vignette-based experiment (N=513), we presented participants with a situation in which an agent knowingly runs the risk of bringing about substantial harm. We manipulated agent type (human v. group agent v. AI-driven robot) and outcome (neutral v. bad), and measured both moral judgment (wrongness of the action and blameworthiness of the agent) and mental states attributed to the agent (recklessness and the desire to inflict harm). We found that (i) judgments of wrongness and blame were relatively similar across agent types, possibly because (ii) attributions of mental states were, as suspected, similar across agent types. This raised the question - also explored in the experiment - whether people attribute knowledge and desire to robots in a merely metaphorical way (e.g., the robot "knew" rather than really knew). However, (iii), according to our data people were unwilling to downgrade to mens rea in a merely metaphorical sense when given the chance. Finally, (iv), we report a surprising and novel finding, which we call the inverse outcome effect on robot blame: People were less willing to blame artificial agents for bad outcomes than for neutral outcomes. This suggests that they are implicitly aware of the dangers of overattributing blame to robots when harm comes to pass, such as inappropriately letting the responsible human agent off the moral hook. (shrink)

Can an ugly experiment be a good experiment? Philosophers have identified many beautiful experiments and explored ways in which their beauty might be connected to their epistemic value. In contrast, the present chapter seeks out (and celebrates) ugly experiments. Among the ugliest are those being designed by AI algorithms. Interestingly, in the contexts where such experiments tend to be deployed, low aesthetic value correlates with high epistemic value. In other words, ugly experiments can be good. Given this, we should conclude (...) that beauty is not generally necessary or sufficient for epistemic value, and increasing beauty will not generally tend to increase epistemic value. (shrink)

In his article “Beyond Point-and-Shoot Morality,” Joshua Greene argues that the empirical findings of cognitive neuroscience have implications for ethics. Specifically, he contends that we ought to trust our manual, conscious reasoning system more than our automatic, emotional system when confronting unfamiliar problems; and because cognitive neuroscience has shown that consequentialist judgments are generated by the manual system and deontological judgments are generated by the automatic system, we ought to trust the former more than the latter when facing unfamiliar moral (...) problems. In the present article, I analyze one of the premises of Greene’s argument. In particular, I ask what exactly an unfamiliar problem is and whether moral problems can be classified as unfamiliar. After exploring several different possible interpretations of familiarity and unfamiliarity, I conclude that the concepts are too problematic to be philosophically compelling, and thus should be abandoned. (shrink)

The causal premise of the evolutionary debunking argument contends that human moral beliefs are explained by the process of natural selection. While it is universally acknowledged that such a premise is fundamental to the debunker’s case, the vast majority of philosophers focus instead on the epistemic premise that natural selection does not track moral truth and the resulting skeptical conclusion. Recently, however, some have begun to concentrate on the causal premise. So far, the upshot of this small but growing literature (...) has been that the causal premise is likely false due to the seemingly persuasive evidence that our moral beliefs are in fact not the result of natural selection. In this paper, I argue that this view is mistaken. Specifically, I advocate the Innate Biases Model, which contends that there is not only compelling evidence for an evolved cognitive capacity for acquiring norms but also for the existence of an evolutionarily instilled set of cognitive biases that make it either more or less likely that we adopt certain moral beliefs. (shrink)

Originally published in 1991, The Laboratory of the Mind: Thought Experiments in the Natural Sciences, is the first monograph to identify and address some of the many interesting questions that pertain to thought experiments. While the putative aim of the book is to explore the nature of thought experimental evidence, it has another important purpose which concerns the crucial role thought experiments play in Brown’s Platonic master argument.In that argument, Brown argues against naturalism and empiricism (Brown 2012), for mathematical Platonism (...) (Brown 2008), and from the Platonist-friendly, abstract universals posited by the Dretske-Tooley-Armstrong (DTA) account of the laws of nature to a more general, physical Platonism. The Laboratory of the Mind is where he takes this final step. (shrink)

One way to interpret the work of Joshua Greene (2001; 2008; 2014) is that the wave of empirical research into moral decision-making is a way for us to become more confident in our ability to gain moral knowledge. We argue that empirical research into moral judgment has shown (both survey-based and brain-based) that the grounds of moral judgment are opaque on several dimensions. We argue that we cannot firmly grasp what the morally relevant/irrelevant features of a decision context are, understand (...) which cognitive system responds to said features, and further know that we are actually basing our judgment upon what we take to be the morally relevant features. That is, we argue that moral judgment is very much like other kinds of judgment: Deeply influenced by facts about the decision-context and the decision-maker. However, if moral judgment is merely the exercise of our general judgment making faculty, we shouldn’t be surprised by this result. We conclude by considering what this means for our practice of making moral judgments. (shrink)

Recent research shows – somewhat astonishingly – that people are willing to ascribe moral blame to AI-driven systems when they cause harm [1]–[4]. In this paper, we explore the moral- psychological underpinnings of these findings. Our hypothesis was that the reason why people ascribe moral blame to AI systems is that they consider them capable of entertaining inculpating mental states (what is called mens rea in the law). To explore this hypothesis, we created a scenario in which an AI system (...) runs a risk of poisoning people by using a novel type of fertilizer. Manipulating the computational (or quasi-cognitive) abilities of the AI system in a between-subjects design, we tested whether people’s willingness to ascribe knowledge of a substantial risk of harm (i.e., recklessness) and blame to the AI system. Furthermore, we investigated whether the ascription of recklessness and blame to the AI system would influence the perceived blameworthiness of the system’s user (or owner). In an experiment with 347 participants, we found (i) that people are willing to ascribe blame to AI systems in contexts of recklessness, (ii) that blame ascriptions depend strongly on the willingness to attribute recklessness and (iii) that the latter, in turn, depends on the perceived “cognitive” capacities of the system. Furthermore, our results suggest (iv) that the higher the computational sophistication of the AI system, the more blame is shifted from the human user to the AI system. (shrink)

Thomas Hurka’s recursive account of value appeals to certain intuitions to expand the class of intrinsic values, placing concepts of virtue and desert within the realm of second and third order intrinsic goods, respectively. This is a formalization of a tradition of thought extending back to Aristotle and Kant via the British moralists, G. E. Moore, and W. D. Ross. However, the evidential status of such intuitions vis a vis the real, intrinsic value of virtue and desert is hostage to (...) alternative explanations. If there is a plausible competing explanation for these intuitions, then the (putative) fact that desert and virtue are intrinsic (rather than instrumental or derivative) goods seems a much less obvious choice for the best explanation. As it turns out, there are plausible evolutionary explanations for these intuitions about desert and virtue. These evolutionary explanations suggest that it is adaptive to value desert and virtue separately from their instrumentality for other goods. Consequently, these explanations debunk intuitions about the intrinsic value of desert and virtue. (shrink)

This is a book review of Karim Bschir and Jamie Shaw (eds.); Interpreting Feyerabend: critical essays. Cambridge: Cambridge University Press, 2021, 290 pp, $99.99 HB.

An observation of Hume’s has received a lot of attention over the last decade and a half: Although we can standardly imagine the most implausible scenarios, we encounter resistance when imagining propositions at odds with established moral (or perhaps more generally evaluative) convictions. The literature is ripe with ‘solutions’ to this so-called ‘Puzzle of Imaginative Resistance’. Few, however, question the plausibility of the empirical assumption at the heart of the puzzle. In this paper, we explore empirically whether the difficulty we (...) witness in imagining certain propositions is indeed due to claim type (evaluative v. non-evaluative) or whether it is much rather driven by mundane features of content. Our findings suggest that claim type plays but a marginal role, and that there might hence not be much of a ‘puzzle’ to be solved. (shrink)

The current chapter provides an overview of research on responses in moral dilemmas where maximization of outcomes for the greater good (utilitarianism) conflicts with adherence to moral norms (deontology). Expanding on a description of the traditional paradigm to study moral-dilemma judgments (i.e., the trolley problem), the chapter reviews the most prominent dual-process account of moral-dilemma judgments, normative conclusions that have been derived from this account, and criticisms raised against this line of work. The following sections review advances in the development (...) of alternative approaches that aim to address shortcomings of the traditional dilemma paradigm as well as the implications of this work for psychological theories of moral-dilemma judgments and philosophical inferences about the normative implications of moral-dilemma research. The chapter concludes with a review of research on the links between moral-dilemma judgments and social impressions. (shrink)

Advancements in artificial intelligence and (social) robotics raise pertinent questions as to how these technologies may help shape the society of the future. The main aim of the chapter is to consider the social and conceptual disruptions that might be associated with social robots, and humanoid social robots in particular. This chapter starts by comparing the concepts of robots and artificial intelligence and briefly explores the origins of these expressions. It then explains the definition of a social robot, as well (...) as the definition of humanoid robots. A key notion in this context is the idea of anthropomorphism: the human tendency to attribute human qualities, not only to our fellow human beings, but also to parts of nature and to technologies. This tendency to anthropomorphize technologies by responding to and interacting with them as if they have human qualities is one of the reasons why social robots (in particular social robots designed to look and behave like human beings) can be socially disruptive. As is explained in the chapter, while some ethics researchers believe that anthropomorphization is a mistake that can lead to various forms of deception, others — including both ethics researchers and social roboticists — believe it can be useful or fitting to treat robots in anthropomorphizing ways. The chapter explores that disagreement by, among other things, considering recent philosophical debates about whether social robots can be moral patients, that is, whether it can make sense to treat them with moral consideration. Where one stands on this issue will depend either on one’s views about whether social robots can have, imitate, or represent morally relevant properties, or on how people relate to social robots in their interactions with them. Lastly, the chapter urges that the ethics of social robots should explore intercultural perspectives, and highlights some recent research on Ubuntu ethics and social robots. (shrink)

Identification of non-coding RNAs (ncRNAs) has been significantly enhanced due to the rapid advancement in sequencing technologies. On the other hand, semantic annotation of ncRNA data lag behind their identification, and there is a great need to effectively integrate discovery from relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a precisely defined ncRNA controlled vocabulary, which can fill a specific and highly needed niche in unification of ncRNA biology.

In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the (...) domain of ncRNAs, thereby facilitating the discovery, curation, analysis, exchange, and reasoning of data about structures of ncRNAs, their molecular and cellular functions, and their impacts upon phenotypes. The goal of NCRO is to serve as a common resource for annotations of diverse research in a way that will significantly enhance integrative and comparative analysis of the myriad resources currently housed in disparate sources. It is our belief that the NCRO ontology can perform an important role in the comprehensive unification of ncRNA biology and, indeed, fill a critical gap in both the Open Biological and Biomedical Ontologies (OBO) Library and the National Center for Biomedical Ontology (NCBO) BioPortal. Our initial focus is on the ontological representation of small regulatory ncRNAs, which we see as the first step in providing a resource for the annotation of data about all forms of ncRNAs. The NCRO ontology is free and open to all users. (shrink)

For two ideally rational agents, does learning a finite amount of shared evidence necessitate agreement? No. But does it at least guard against belief polarization, the case in which their opinions get further apart? No. OK, but are rational agents guaranteed to avoid polarization if they have access to an infinite, increasing stream of shared evidence? No.

This essay has two aims. The first is to correct an increasingly popular way of misunderstanding Belot's Orgulity Argument. The Orgulity Argument charges Bayesianism with defect as a normative epistemology. For concreteness, our argument focuses on Cisewski et al.'s recent rejoinder to Belot. The conditions that underwrite their version of the argument are too strong and Belot does not endorse them on our reading. A more compelling version of the Orgulity Argument than Cisewski et al. present is available, however---a point (...) that we make by drawing an analogy with de Finetti's argument against mandating countable additivity. Having presented the best version of the Orgulity Argument, our second aim is to develop a reply to it. We extend Elga's idea of appealing to finitely additive probability to show that the challenge posed by the Orgulity Argument can be met. (shrink)

Recent impossibility theorems for fair risk assessment extend to the domain of epistemic justice. We translate the relevant model, demonstrating that the problems of fair risk assessment and just credibility assessment are structurally the same. We motivate the fairness criteria involved in the theorems as also being appropriate in the setting of testimonial justice. Any account of testimonial justice that implies the fairness/justice criteria must be abandoned, on pain of triviality.

We provide counterexamples to some purported characterizations of dilation due to Pedersen and Wheeler :1305–1342, 2014, ISIPTA ’15: Proceedings of the 9th international symposium on imprecise probability: theories and applications, 2015).

Risk Management Strategies and Investment Behaviors are considered important factors in the investing activities of the retail investors. This study seeks to determine the relationship between Risk Management Strategies and Investment Behavior of Generation Z retail investors. The study is a correlational research and purposive sampling was used to select the respondents for this study. Cochran’s formula was utilized to determine the total sample size or total number of respondents. Spearman’s Rank-Order Correlation was employed to assess the significant relationship of (...) Risk Management Strategies and Investment Behaviors. Based on the results, it showed that risk management strategies have a significant relationship with one or more of the investment behaviors. Risk avoidance has a significant relationship with confirmation bias. Risk reduction has a significant relationship with all of the investment behaviors such as overconfidence, loss-aversion, recency bias, and confirmation bias. Risk transfer shows a significant relationship with only loss-aversion and confirmation bias. And lastly, risk acceptance also has a significant relationship with all of the investment behaviors. This study recommends exploring other types of behavioral biases under cognitive bias and emotional bias to determine their correlation with risk management strategies. Also, broadening the sample size, demographic scope, and geographic scope of the study can improve the generalizability of the study and provide a more comprehensive understanding of the relationship between investment behavior and risk management strategies. The researchers also recommend to utilize interviews and focus group discussions to gain an in-depth understanding of the underlying values and attitudes concerning investment behavior. (shrink)

Our aim here is to present a result that connects some approaches to justifying countable additivity. This result allows us to better understand the force of a recent argument for countable additivity due to Easwaran. We have two main points. First, Easwaran’s argument in favour of countable additivity should have little persuasive force on those permissive probabilists who have already made their peace with violations of conglomerability. As our result shows, Easwaran’s main premiss – the comparative principle – is strictly (...) stronger than conglomerability. Second, with the connections between the comparative principle and other probabilistic concepts clearly in view, we point out that opponents of countable additivity can still make a case that countable additivity is an arbitrary stopping point between finite and full additivity. (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)

Merging of opinions results underwrite Bayesian rejoinders to complaints about the subjective nature of personal probability. Such results establish that sufficiently similar priors achieve consensus in the long run when fed the same increasing stream of evidence. Initial subjectivity, the line goes, is of mere transient significance, giving way to intersubjective agreement eventually. Here, we establish a merging result for sets of probability measures that are updated by Jeffrey conditioning. This generalizes a number of different merging results in the literature. (...) We also show that such sets converge to a shared, maximally informed opinion. Convergence to a maximally informed opinion is a (weak) Jeffrey conditioning analogue of Bayesian “convergence to the truth” for conditional probabilities. Finally, we demonstrate the philosophical significance of our study by detailing applications to the topics of dynamic coherence, imprecise probabilities, and probabilistic opinion pooling. (shrink)

The Black Lives Matter movement has called for the abolition of capital punishment in response to what it calls “the war against Black people” and “Black communities.” This article defends the two central contentions in the movement’s abolitionist stance: first, that US capital punishment practices represent a wrong to black communities rather than simply a wrong to particular black capital defendants or particular black victims of murder, and second, that the most defensible remedy for (...) this wrong is the abolition of the death penalty. (shrink)

This article draws upon the work of Timothy Morton and Slavoj Žižek in order to critically examine how mountain bike trail builders orientated themselves within nature relations. Beginning with a discussion of the key ontological differences between Morton’s object-oriented ontology and Žižek’s blend of Hegelian-Lacanianism, we explore how Morton’s dark ecology and Žižek’s account of the radical contingency of nature, can offer parallel paths to achieving an ecological awareness that neither idealises nor mythologises nature, but instead, acknowledges its strange and (...) contingent form. Empirically, we support this theoretical approach in interviews with twenty mountain bike trail builders. These interviews depicted an approach to trail building that was ambivalently formed in/with the contingency of nature. In doing so, the trail builders acted with a sense of temporal awareness that accepted the radical openness of nature, presenting a ‘symbolic framework’ that was amiable to nature’s ambivalent, strange and contingent form. In conclusion, we argue that we should not lose sight of the ambivalences and strange surprises that emanate from our collective and unpredictable attempts to symbolize nature and that such knowledge can coincide with Morton’s ‘dark ecology’ – an ecological awareness that remains radically open to our ecological existence. (shrink)

The ‘black box’ in Stoic axiology refers to the mysterious connection between the input of Stoic deliberation (reasons generated by the value of indifferents) and the output (appropriate actions). In this paper, I peer into the black box by drawing an analogy between Stoic and Kantian axiology. The value and disvalue of indifferents is intrinsic, but conditional. An extrinsic condition on the value of a token indifferent is that one's selection of that indifferent is sanctioned by context-relative ethical (...) principles. The value of an indifferent that does not meet this condition is normatively silenced, such that it fails to constitute a reason for action. (shrink)

This paper provides an introduction to the relevant debates revolving the three topics the connections between which are the being discussed in this volume--justice, autonomy, and love--outlining various conceptions and related questions. It also contains an overview of the contributions to the three sections of the volume: I) Justice Within Relationships of Love, II) Loving Partiality and Moral Impartiality, and III) The Political Dimension of Love and Justice.

The aim of this paper to analyse the central argument of Cottingham’s (1998) Philosophy and the Good Life, and to strengthen and develop it against misinterpretation and objection. Cottingham’s argument is an objection to ‘ratiocentrism’, the view that the good life can be understood in terms of and attained by reason and strength of will. The objection begins from a proper understanding of akrasia, or weakness of will, but its focus, and the focus of this paper, is the relation between (...) reason and the passions in the good life. Akrasia serves to illustrate ratiocentrism’s misunderstanding of this relation and of the nature of the passions themselves. In § I, I outline and clarify the objection. In § II, I present and provisionally elaborate on Cottingham’s diagnosis of what a corrected understanding of the passions makes necessary for the good life, viz. the rediscovery and reclamation of the source of our passions, our childhood past. In § III, I discuss whether ratiocentrism could accept and absorb the critique as developed so far. Cottingham (1998: 162) is aware that his claim, with its emphasis on self-knowledge, could be reinterpreted by ratiocentrism as no more than the need for reason to work with a different source of information regarding the passions in order to master them. I briefly present three further objections to show why this is a mistake. In § IV, I argue that Cottingham’s diagnosis is not quite right, and I seek to emphasise aspects of self-discovery that I believe Cottingham overlooks or underplays. What is needed is a set of interrelated dispositions, viz. acceptance, vulnerability, courage, and compassion; these can be inculcated and sustained by the journey Cottingham defends, but it is the dispositions, rather than the journey, that are properly considered a necessary part of the good life. (shrink)

I review Michael T. Ferejohn's "Formal Causes: Definition, Explanation, and Primacy in Socratic and Aristotelian Thought".

Drawing upon empirical studies of racial discrimination dating back to the 1940’s, the Movement for Black Lives platform calls for the abolition of capital punishment. Our purpose here is to defend the Movement’s call for death penalty abolition in terms congruent with its claim that the death penalty in the U.S. is a “racist practice” that “devalues Black lives.” We first sketch the jurisprudential history of race and capital punishment in the U.S., wherein courts have occasionally expressed worries (...) about racial injustice but have usually taken such evidence to warrant reform but not outright abolition. We argue that the racial discrimination at issue flows in significant part from implicit biases concerning race, criminality, and violence, which do not fit comfortably within the picture of racial bias advanced by the courts. The case for abolition, we contend, rests on Black Americans as a class (not merely those who interact with the criminal justice system as capital defendants or as murder victims) being subject to such bias and thereby not being accorded equal status under the law. (shrink)

In recent years, there has been a heated debate about how to interpret findings that seem to show that humans rapidly and automatically calculate the visual perspectives of others. In the current study, we investigated the question of whether automatic interference effects found in the dot-perspective task (Samson, Apperly, Braithwaite, Andrews, & Bodley Scott, 2010) are the product of domain-specific perspective-taking processes or of domain-general “submentalizing” processes (Heyes, 2014). Previous attempts to address this question have done so by implementing inanimate (...) controls, such as arrows, as stimuli. The rationale for this is that submentalizing processes that respond to directionality should be engaged by such stimuli, whereas domain-specific perspective-taking mechanisms, if they exist, should not. These previous attempts have been limited, however, by the implied intentionality of the stimuli they have used (e.g. arrows), which may have invited participants to imbue them with perspectival agency. Drawing inspiration from “novel entity” paradigms from infant gaze-following research, we designed a version of the dot-perspective task that allowed us to precisely control whether a central stimulus was viewed as animate or inanimate. Across four experiments, we found no evidence that automatic “perspective-taking” effects in the dot-perspective task are modulated by beliefs about the animacy of the central stimulus. Our results also suggest that these effects may be due to the task-switching elements of the dot-perspective paradigm, rather than automatic directional orienting. Together, these results indicate that neither the perspective-taking nor the standard submentalizing interpretations of the dot-perspective task are fully correct. (shrink)

From 2009 to 2015, U.S. director, Quentin Tarantino, released three films that were notable for their focus on particular historical events, periods and individuals (Inglorious Basterds 2009; Django Unchained 2012; The Hateful Eight 2015). Together, these films offered a specifically “Tarantinian” rendering of history: rewriting, manipulating and, for some, unethically deploying history for aesthetic effect. With regard to Django Unchained, this article examines how Tarantino’s historical revisionism provides a valuable point of inquiry into the ways in which “history” is depicted (...) on-screen and, more importantly, how depictions of “the past” can prove useful for highlighting underlying contradictions, ambivalences and ambiguities in the “present”. Drawing upon Slavoj Žižek’s Lacanian approach to film analysis, it is argued that through a combination of fantasy, subversion and counterfactual possibility – most notable in the film’s final stand-off between its leading black characters – Tarantino is able to render the Real of U.S. slavery as an ahistorical antagonism. This antagonism highlights the ongoing trauma of these events in the present as well as the use of fantasy to explore their traumatic subject matter. Such historical fictions are not fixed to the past but, via an encounter with the Real, can be used to appraise the present. (shrink)

Rivka Weinberg advances an error theory of ultimate meaning with three parts: (1) a conceptual analysis, (2) the claim that the extension of the concept is empty, and (3) a proposed fitting response, namely being very, very sad. Weinberg’s conceptual analysis of ultimate meaning involves two features that jointly make it metaphysically impossible, namely (i) the separateness of activities and valued ends, and (ii) the bounded nature of human lives. Both are open to serious challenges. We offer an internalist alternative (...) to (i) and a relational alternative to (ii). We then draw out implications for (2) and conclude with reasons to be cheerful about the prospects of a meaningful life. (shrink)

Meursault, the protagonist of Camus' The Stranger, is unable to grieve, a fact that ultimately leads to his condemnation and execution. Given the emotional distresses involved in grief, should we envy Camus or pity him? I defend the latter conclusion. As St. Augustine seemed to dimly recognize, the pains of grief are integral to the process of bereavement, a process that both motivates and provides a distinctive opportunity to attain the good of self-knowledge.

A perceptual realism that is naive in a good way must be naively realistic about world and mind. But contemporary self-described naive realists often have trouble acknowledging that both the good cases of successful perception and the bad cases of illusion and hallucination involve internal experiential states with intentional contents that present the world as being a certain way. They prefer to think about experience solely in relational terms because they worry that otherwise we won’t be able to escape from (...) radical skepticism. I argue that experiential relations to objects require that their subjects be in internal experiential states. But this does not mean that these states are our epistemological starting point which can be known independently of any knowledge of the external world. We do escape the epistemological predicament of radical skepticism because the good cases are primary over the bad ones. But this is not because the good cases alone provide reasons for belief, but because we do not need a reason to think we are in a good case, but do need a reason to think we are not, and such a reason must come from a good case. So bad cases can only be thought of as deviations from good cases. And we can only understand experiences as states with contents distinct from their objects and present in good and bad cases once we understand misrepresentation, that is, bad cases, and therefore only as we ascribe knowledge of the external world to ourselves. (shrink)

Fodor argued that learning a concept by hypothesis testing would involve an impossible circularity. I show that Fodor's argument implicitly relies on the assumption that actually φ-ing entails an ability to φ. But this assumption is false in cases of φ-ing by luck, and just such luck is involved in testing hypotheses with the kinds of generative random sampling methods that many cognitive scientists take our minds to use. Concepts thus can be learned by hypothesis testing without circularity, and it (...) is plausible that this is how humans in fact acquire at least some of their concepts. (shrink)

I present data that suggest the universal entailments of counterfactual donkey sentences aren’t as universal as some have claimed. I argue that this favors the strategy of attributing these entailments to a special property of the similarity ordering on worlds provided by some contexts, rather than to a semantically encoded sensitivity to assignment.