What explains the truth of a universal generalization? Two types of explanation can be distinguished. While an ‘instance-based explanation’ proceeds via some or all instances of the generalization, a ‘generic explanation’ is independent of the instances, relying instead on completely general facts about the properties or operations involved in the generalization. This intuitive distinction is analyzed by means of a truthmaker semantics, which also sheds light on the correct logic of quantification. On the most natural version of the semantics, this (...) analysis vindicates some claims made—without a proper defense—by Michael Dummett, Solomon Feferman, and others. Where instance-based explanations are freely available, classical logic is shown to be warranted. By contrast, intuitionistic logic remains warranted regardless of what explanations are available. (shrink)

Why does social injustice exist? What role, if any, do implicit biases play in the perpetuation of social inequalities? Individualistic approaches to these questions explain social injustice as the result of individuals’ preferences, beliefs, and choices. For example, they explain racial injustice as the result of individuals acting on racial stereotypes and prejudices. In contrast, structural approaches explain social injustice in terms of beyond-the-individual features, including laws, institutions, city layouts, and social norms. Often these two approaches are seen as competitors. (...) Framing them as competitors suggests that only one approach can win and that the loser offers worse explanations of injustice. In this essay, we explore each approach and compare them. Using implicit bias as an example, we argue that the relationship between individualistic and structural approaches is more complicated than it may first seem. Moreover, we contend that each approach has its place in analyses of injustice and raise the possibility that they can work together—synergistically—to produce deeper explanations of social injustice. If so, the approaches may be complementary, rather than competing. (shrink)

In this Chapter, we address the challenge of explaining institutional change, asking whether the much-criticized rational choice perspective can contribute to the understanding of institutional change in political science. We discuss the methodological reasons why rational choice institutionalism (RCI) often assumes that institutional change is exogenous and discontinuous. We then identify and explore the possible pathways along which RCI can be extended to be more useful in understanding institutional change in political science. Finally, we reflect on what RCI theorizing would (...) look like if it started to take endogenous change seriously: by giving up some of its simplifying assumptions, RCI can be a useful tool for analyzing institutional change, but choosing this path has consequences for the generality of the models in RCI as well as for the style of its theorizing. (shrink)

This is a defence of externalism about knowledge and also about justification. In this paper, I argue that an important virtue of externalism about these notions is that externalism about justification helps to explain the value of (i.e., importance of) knowledge. I also develop and expand upon some of my earlier arguments for externalism that drew upon what's now known as 'morally loaded cases'. The virtue of externalism is that it's the only view that can both allow for certain kinds (...) of categorical normative requirements while also vindicating the idea that we ought to be guided by the beliefs that we ought to have. (Internalists either have to deny that we ought to be guided by the beliefs that we ought to have (which isn't very internalist!) or, failing that, revise our views about the existence of certain kinds of categorical requirements and tell us that we ought to be guided by our beliefs to do evil things (which isn't very nice!).). (shrink)

As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from diverse (...) fields to identify open problems, striving to synchronize research agendas and accelerate XAI in practical applications. By fostering collaborative discussion and interdisciplinary cooperation, we aim to propel XAI forward, contributing to its continued success. Our goal is to put forward a comprehensive proposal for advancing XAI. To achieve this goal, we present a manifesto of 27 open problems categorized into nine categories. These challenges encapsulate the complexities and nuances of XAI and offer a road map for future research. For each problem, we provide promising research directions in the hope of harnessing the collective intelligence of interested stakeholders. (shrink)

​Imagination will remain a mystery—we will not be able to explain imagination—until we can break it into parts we already understand. Explaining Imagination is a guidebook for doing just that, where the parts are other ordinary mental states like beliefs, desires, judgments, and decisions. In different combinations and contexts, these states constitute cases of imagining. This reductive approach to imagination is at direct odds with the current orthodoxy, according to which imagination is a sui generis mental state or process—one with (...) its own inscrutable principles of operation. Explaining Imagination upends that view, showing how, on closer inspection, the imaginings at work in hypothetical reasoning, pretense, the enjoyment of fiction, and creativity are reducible to other familiar mental states—judgments, beliefs, desires, and decisions among them. Crisscrossing contemporary philosophy of mind, cognitive science, and aesthetics, Explaining Imagination argues that a clearer understanding of imagination is already well within reach. (shrink)

This study focuses in testing the power of reciprocity and leadership as collective action incentive structures and cooperation economic benefits in explaining collective action initiation in the context of a post-communist transition economy. The paper is based on a structured survey targeting Albanian export-oriented farmers. Different from most previous studies, this paper uses both regression analysis and machine learning procedure which is better suited for analysing non-linear relationships. The empirical findings are at odds with common sense that non-cooperation is the (...) dominant strategy, because the presence of tolerant reciprocators and leadership resources provide promising incentive structures for collective action development. KEYWORDS: Albania, collective action, collective action benefits, incentive structures, leadership, power, reciprocity. (shrink)

I attempt to set the stage for a constructive analysis of the nature and function of tensed belief as a distinct psychological type. After introducing tensed beliefs, I describe the philosophical issues that implicate them, including Prior’s “ thank goodness it’s over ” argument against the B-theory of time. I proceed to flesh out, and then argue against, two traditional treatments of tensed belief from the philosophy of time: the A-theoretic view, which starts from present facts or properties, and Hugh (...) Mellor's B-theoretic reply, which starts from the tenseless properties of tensed belief tokens. The explanatory failure of the former shows that, pace Prior, the existence of tensed attitudes does not favor the A-theory, while the failure of both shows that there are still explanatory gaps that we need to fill. I conclude by offering a working definition of tensed belief and the ideal methodology for filling out these explanatory gaps in future study. (shrink)

To create fair and accountable AI and robotics, we need precise regulation and better methods to certify, explain, and audit inscrutable systems.

This chapter offers an interpretation of Jaspers’ distinction between explaining and understanding, which relates this distinction to that between general and singular causal claims. Put briefly, I suggest that when Jaspers talks about (mere) explanation, what he has in mind are general causal claims linking types of events. Understanding, by contrast, is concerned with singular causation in the psychological domain. Furthermore, I also suggest that Jaspers thinks that only understanding makes manifest what causation between one element of a person’s mental (...) life and another ultimately consists in – that is, the particular way in which one psychic event can emerge from or arise out of another. I contrast the resulting view both with a view on causation in psychiatry recently put forward by John Campbell, and also with another view that is the target of Campbell’s attack, which is due to Donald Davidson and Daniel Dennett. (shrink)

Explaining the behaviour of ecosystems is one of the key challenges for the biological sciences. Since 2000, new-mechanicism has been the main model to account for the nature of scientific explanation in biology. The universality of the new-mechanist view in biology has been however put into question due to the existence of explanations that account for some biological phenomena in terms of their mathematical properties (mathematical explanations). Supporters of mathematical explanation have argued that the explanation of the behaviour of ecosystems (...) is usually provided in terms of their mathematical properties, and not in mechanistic terms. They have intensively studied the explanation of the properties of ecosystems that behave following the rules of a non-random network. However, no attention has been devoted to the study of the nature of the explanation in those that form a random network. In this paper, we cover that gap by analysing the explanation of the stability behaviour of the microbiome recently elaborated by Coyte and colleagues, to determine whether it fits with the model of explanation suggested by the new-mechanist or by the defenders of mathematical explanation. Our analysis of this case study supports three theses: (1) that the explanation is not given solely in terms of mechanisms, as the new-mechanists understand the concept; (2) that the mathematical properties that describe the system play an essential explanatory role, but they do not exhaust the explanation; (3) that a non-previously identified appeal to the type of interactions that the entities in the network can exhibit, as well as their abundance, is also necessary for Coyte and colleagues’ account to be fully explanatory. From the combination of these three theses we argue for the necessity of an integrative pluralist view of the nature of behaviour explanation when this is given by appealing to the existence of a random network. (shrink)

It is clear that lack of awareness of the consequences of an action can undermine moral responsibility and blame for these consequences. But when and how it does so is controversial. Sometimes an agent believing that the outcome might occur is excused because it seemed unlikely to her, and sometimes an agent having no idea that it would occur is nevertheless to blame. A low or zero degree of belief might seem to excuse unless the agent “should have known better”, (...) but it is unclear how to spell out this normative condition. -/- This chapter combines (a) an independently motivated account of responsibility, blame, and credit as grounded in a normal explanatory relation between agential qualities and objects of responsibility with (b) the familiar Strawsonian idea that moral blame and credit depend on the agent’s quality of will. The resulting explanatory quality of will condition on moral responsibility is then further motivated by being shown to account for the effects on moral blame and credit of justifications, as well as of excuses and undermined control in cases not involving ignorance. -/- The explanatory quality of will condition is finally applied to cases involving various degrees of lack of awareness. Though this condition itself involves no awareness requirement, it is shown how it accounts for the degrees to which lack of awareness can excuse. It is also explained how lack of awareness fails as an excuse exactly when the agent should have known better and can be blamed for not doing so. (shrink)

Many artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that this argument (...) overlooks that human decision-making is sometimes significantly more transparent and trustworthy than algorithmic decision-making. This is because when people explain their decisions by giving reasons for them, this frequently prompts those giving the reasons to govern or regulate themselves so as to think and act in ways that confirm their reason reports. AI explanation systems lack this self-regulative feature. Overlooking it when comparing algorithmic and human decision-making can result in underestimations of the transparency of human decision-making and in the development of explainable AI that may mislead people by activating generally warranted beliefs about the regulative dimension of reason-giving. (shrink)

In this paper, we present and defend a natural yet novel analysis of normative reasons. According to what we call support-explanationism, for a fact to be a normative reason to φ is for it to explain why there's normative support for φ-ing. We critically consider the two main rival forms of explanationism—ought-explanationism, on which reasons explain facts about ought, and good-explanationism, on which reasons explain facts about goodness—as well as the popular Reasons-First view, which takes the notion of a normative (...) reason to be normatively fundamental. Support-explanationism, we argue, enjoys many of the virtues of these views while avoiding their drawbacks. We conclude by exploring several further important implications: among other things, we argue that the influential metaphor of ‘weighing’ reasons is inapt, and propose a better one; that, contrary to what Berker (2019) suggests, there's no reason for non-naturalists about normativity to accept the Reasons-First view; and that, contrary to what Wodak (2020b) suggests, explanationist views can successfully accommodate what he calls ‘redundant reasons’. (shrink)

Ethical non-naturalists often charge that their naturalist competitors cannot adequately explain the distinctive normativity of moral or more broadly practical concepts. I argue that the force of the charge is mitigated, because non-naturalism is ultimately committed to a kind of mysterianism about the metaphysics of practical norms that possesses limited explanatory power. I then show that focusing on comparative judgments about the explanatory power of various metaethical theories raises additional problems for the non-naturalist, and suggest grounds for optimism that a (...) naturalistic realist about practical normativity will ultimately be able to explain the distinctive normativity of practical norms. I then show that radical pluralism or particularism about the structure of normative ethics would complicate the naturalistic strategy that I defend. This suggests a perhaps surprising way in which the resolution of the debate between ethical naturalists and non-naturalists may rest in part on the answers to substantive normative questions. (shrink)

Both in everyday life and in moral philosophy, many think that our own past wrongdoing can undermine our standing to indignantly blame others for similar wrongdoing. In recent literature on the ethics of blame, we find two different kinds of explanation for this. Relative moral status accounts hold that to have standing to blame, you must be better than the person you are blaming, in terms of compliance with the norm. Fault-based accounts hold that those who blame others for things (...) of which they are also guilty exhibit familiar moral faults, such as making an exception of oneself, and that these faults explain why they lack standing. I argue in support of relative moral status accounts, showing that they both better trace our practice of dismissing blame on the basis of lack of standing, and that they have more explanatory resources than has been appreciated. (shrink)

Recently, a number of authors have suggested that the epistemic condition on moral responsibility makes blameworthiness much less common than we ordinarily suppose, and much harder to identify. This paper argues that such epistemically based responsibility skepticism is mistaken. Section 2 sketches a general account of moral responsibility, building on the Strawsonian idea that blame and credit relates to the agent’s quality of will. Section 3 explains how this account deals with central cases that motivate epistemic skepticism and how it (...) avoids some objections to quality of will accounts recently raised by Gideon Rosen. But an intuitive worry brought out by these objections remains. Section 4 spells out this remaining worry and argues that, like traditional metaphysical responsibility skepticism, it has its source in a non-standard explanatory perspective on action, suggesting that strategies for explaining away the intuitive pull of traditional skepticism are applicable in this case too. (shrink)

The physical realm is causally closed, according to physicalists like me. But why is it causally closed, what metaphysically explains causal closure? I argue that reductive physicalists are committed to one explanation of causal closure to the exclusion of any independent explanation, and that as a result, they must give up on using a causal argument to attack mind–body dualism. Reductive physicalists should view dualism in much the way that we view the hypothesis that unicorns exist, or that the Kansas (...) City Royals won the 2003 World Series: false, but not objectionable in any distinctively causal way. My argument turns on connections between explanation, counterfactuals, and inductive confirmation. (shrink)

Over the course of human history there appears to have been a global shift in moral values towards a broadly ‘liberal’ orientation. Huemer argues that this shift better accords with a realist than an antirealist metaethics: it is best explained by the discovery of mind-independent truths through intuition. In this article I argue, contra Huemer, that the historical data are better explained assuming the truth of moral antirealism. Realism does not fit the data as well as Huemer suggests, whereas antirealists (...) have underappreciated resources to explain the relevant historical dynamics. These resources include an appeal to socialization, to technological and economical convergences, to lessons learned from history, to changes induced by consistency reasoning and to the social function of moral norms in overcoming some of the cooperation problems that globalizing societies face. I point out that the realist’s explanans has multiple shortcomings, that the antirealist’s explanans has several explanatory virtues, and conclude that the latter provides a superior account of the historical shift towards liberal values. (shrink)

This paper explores the prospects of combining two views. The first view is metaphysical rationalism : all things have an explanation. The second view is metaphysical essentialism: there are real essences. The exploration is motivated by a conflict between the views. Metaphysical essentialism posits facts about essences. Metaphysical rationalism demands explanations for all facts. But facts about essences appear to resist explanation. I consider two solutions to the conflict. Exemption solutions attempt to exempt facts about essences from the demand for (...) explanation. Explanation solutions attempt to explain facts about essences. I argue that exemption solutions are less promising than explanation solutions. I then consider how explanation solutions might be developed. I suggest that a “generative” approach is most promising. I tentatively conclude that the prospects for combining metaphysical rationalism and metaphysical essentialism turn on the viability of a generative approach. This sets the agenda for defending the combination as well as the more general project of explaining essences. (shrink)

In some cases, there appears to be an asymmetry in the evidential value of statistical and more individualized evidence. For example, while I may accept that Alex is guilty based on eyewitness testimony that is 80% likely to be accurate, it does not seem permissible to do so based on the fact that 80% of a group that Alex is a member of are guilty. In this paper I suggest that rather than reflecting a deep defect in statistical evidence, this (...) asymmetry might arise from a general constraint on rational inquiry. Plausibly the degree of evidential support needed to justify taking a proposition to be true depends on the stakes of error. While relying on statistical evidence plausibly raises the stakes by introducing new kinds of risk to members of the reference class, paradigmatically `individualized' evidence---evidence tracing back to A's voluntary behavior---can lower the stakes. The net result explains the apparent evidential asymmetry without positing a deep difference in the brute justificatory power of different types of evidence. (shrink)

Molinists hold that there are contingently true counterfactuals about what agents would do if put in specific circumstances, that God knows these prior to creation, and that God uses this knowledge in choosing how to create. In this essay we critique Molinism, arguing that if these theses were true, agents would not be free. Consider Eve’s sinning upon being tempted by a serpent. We argue that if Molinism is true, then there is some set of facts that fully explains both (...) Eve’s action and everything else Eve does that influences that action; and that if this is the case, Eve does not act freely. The first premise of this argument follows from the explanatory relations the Molinist is committed to, and the second premise follows from libertarian intuitions about free will. (shrink)

Usually, the B-theory of time is taken to involve the claim that time does not, in reality, pass; after all, on the B-theory, nothing really becomes present and then more and more past, times do not come into existence successively, and which facts obtain does not change. For this reason, many B-theorists have recently tried to explain away one or more aspect(s) of experience that they and their opponents take to constitute an experience of time as passing. In this paper, (...) I examine three prominent proposals of this kind and argue that, though intriguing, the proposals undermine, to some extent, the assumption that there is an element of experience that B-theorists need to take to be illusory. (shrink)

Ethical non-naturalists often charge that their naturalist competitors cannot adequately explain the distinctive normativity of moral or more broadly practical concepts. I argue that the force of the charge is mitigated, because non-naturalism is ultimately committed to a kind of mysterianism about the metaphysics of practical norms that possesses limited explanatory power. I then show that focusing on comparative judgments about the explanatory power of various metaethical theories raises additional problems for the non-naturalist, and suggest grounds for optimism that a (...) naturalistic realist about practical normativity will ultimately be able to explain the distinctive normativity of practical norms. I then show that radical pluralism or particularism about the structure of normative ethics would complicate the naturalistic strategy that I defend. This suggests a perhaps surprising way in which the resolution of the debate between ethical naturalists and non-naturalists may rest in part on the answers to substantive normative questions. (shrink)

For some reason, participants hold agents more responsible for their actions when a situation is described concretely than when the situation is described abstractly. We present examples of this phenomenon, and survey some attempts to explain it. We divide these attempts into two classes: affective theories and cognitive theories. After criticizing both types of theories we advance our novel hypothesis: that people believe that whenever a norm is violated, someone is responsible for it. This belief, along with the familiar workings (...) of cognitive dissonance theory, is enough to not only explain all of the abstract/concrete paradoxes, but also explains seemingly unrelated effects, like the anthropomorphization of malfunctioning inanimate objects. (shrink)

Scientific realists have claimed that the posit that our theories are (approximately) true provides the best or the only explanation for their success . In response, I revive two non-realists explanations. I show that realists, in discarding them, have either misconstrued the phenomena to be explained or mischaracterized the relationship between these explanations and their own. I contend nonetheless that these non-realist competitors, as well as their realist counterparts, should be rejected; for none of them succeed in explaining a significant (...) list of successes. I propose a related non-realist explanation of success that appears to be the most suitable among those considered. (shrink)

There has been a push in recent years to provide better explanations for how AIs make their decisions. Most of this push has come from the ethical concerns that go hand in hand with AIs making decisions that affect humans. Outside of the strictly ethical concerns that have prompted the study of explainable AIs (XAIs), there has been research interest in the mere possibility of creating XAIs in various domains. In general, the more accurate we make our models the harder (...) they are to explain. Go playing AIs like AlphaGo and KataGo provide fantastic examples of this phenomenon. In this paper, I discuss a non-exhaustive list of the leading theories of explanation and what each of these theories would say about the explainability of AI-played moves of Go. Finally, I consider the possibility of ever explaining AI-played Go moves in a way that meets the four principles of XAI. I conclude, somewhat pessimistically, that Go is not as imminently explainable as other domains. As such, the probability of having an XAI for Go that meets the four principles is low. (shrink)

There has been much debate recently on the question whether essence can explain modality. Here, I examine two routes to an essentialist account of modality. The first is Hale's argument for the necessity of essence, which I will argue is — notwithstanding recent attempted defences of it — invalid by its very structure. The second is the proposal that it is essential to essential truth that it is necessary. After offering three possible versions of the view, I will argue that (...) each fails to provide a metaphysical explanation of necessity in terms of essence. (shrink)

Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device for teaching trained professionals how to predict what decisions will be made by the complex system, and most importantly how the system might break. However, when considering any such model it’s important to remember Box’s maxim that "All models are wrong but some are useful." We focus on (...) the distinction between these models and explanations in philosophy and sociology. These models can be understood as a "do it yourself kit" for explanations, allowing a practitioner to directly answer "what if questions" or generate contrastive explanations without external assistance. Although a valuable ability, giving these models as explanations appears more difficult than necessary, and other forms of explanation may not have the same trade-offs. We contrast the different schools of thought on what makes an explanation, and suggest that machine learning might benefit from viewing the problem more broadly. (shrink)

Creativity has often been declared, especially by philosophers, as the last frontier of science. The assumption is that it will defy explanation forever. I will defend two claims in order to oppose this assumption and to demystify creativity: (1) the perspective that creativity cannot be explained wrongly identifies creativity with what I shall call metaphysical freedom; (2) the Darwinian approach to creativity, a prominent naturalistic account of creativity, fails to give an explanation of creativity, because it confuses conceptual issues with (...) explanation. I will close with some remarks on the status and differences in some explanations available in contemporary cognitive science. (shrink)

This commentary focuses on explaining the intuition of revelation, an issue that Chalmers (2018) raises in his paper. I first sketch how the truth of revelation provides an explanation for the intuition of revelation, and then assess a physicalist proposal to explain the intuition that appeals to Derk Pereboom’s (2011, 2016, 2019) qualitative inaccuracy hypothesis.

In this paper I argue that the search for explainable models and interpretable decisions in AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic account of understanding in AI. Intuitively, the purpose of providing an explanation of a model or a decision is to make it understandable to its stakeholders. But without a previous grasp of what it means to say that an agent understands a model or a decision, the explanatory strategies will (...) lack a well-defined goal. Aside from providing a clearer objective for XAI, focusing on understanding also allows us to relax the factivity condition on explanation, which is impossible to fulfill in many machine learning models, and to focus instead on the pragmatic conditions that determine the best fit between a model and the methods and devices deployed to understand it. After an examination of the different types of understanding discussed in the philosophical and psychological literature, I conclude that interpretative or approximation models not only provide the best way to achieve the objectual understanding of a machine learning model, but are also a necessary condition to achieve post hoc interpretability. This conclusion is partly based on the shortcomings of the purely functionalist approach to post hoc interpretability that seems to be predominant in most recent literature. (shrink)

Do self‐monitoring accounts, a dominant account of the positive symptoms of schizophrenia, explain auditory verbal hallucination? In this essay, I argue that the account fails to answer crucial questions any explanation of auditory verbal hallucination must address. Where the account provides a plausible answer, I make the case for an alternative explanation: auditory verbal hallucination is not the result of a failed control mechanism, namely failed self‐monitoring, but, rather, of the persistent automaticity of auditory experience of a voice. My argument (...) emphasizes the importance of careful examination of phenomenology as providing substantive constraints on causal models of the positive symptoms in schizophrenia. (shrink)

I analyze the role of infinite idealizations used in the renormalization group (RG hereafter) method in explaining universality across microscopically different physical systems in critical phenomena. I argue that despite the reference to infinite limit systems such as systems with infinite correlation lengths during the RG process, the key to explaining universality in critical phenomena need not involve infinite limit systems. I develop my argument by introducing what I regard as the explanatorily relevant property in RG explanations: linearization* property; I (...) then motivate and prove a proposition about the linearization* property in support of my view. As a result, infinite limit systems in RG explanations are dispensable. (shrink)

An account of depiction should explain its key features. I identify six: that depiction is from a point of view; that it represents its objects as having a visual appearance; that it depictive content is always reasonably detailed; that misrepresentation is possible, but only within limits; and that the ability to interpret depictions co-varies, given general competence with pictures, with knowledge of what the depicted objects look like. All this suggests that picturing works by capturing appearances, but how more precisely (...) does it operate? I show how to use the notion of experienced resemblance in outline shape to analyse depiction in such a way as to answer this question, and to explain the six key features above. (shrink)

This book introduces readers to the topic of explanation. The insights of Plato, Aristotle, J.S. Mill and Carl Hempel are examined, and are used to argue against the view that explanation is merely a problem for the philosophy of science. Having established its importance for understanding knowledge in general, the book concludes with a bold and original explanation of explanation.

Experiences of motion and change are widely taken to have a ‘flow-like’ quality. Call this ‘temporal qualia’. Temporal qualia are commonly thought to be central to the question of whether time objectively passes: (1) passage realists take temporal passage to be necessary in order for us to have the temporal qualia we do; (2) passage antirealists typically concede that time appears to pass, as though our temporal qualia falsely represent time as passing. I reject both claims and make the case (...) that passage-talk plays no useful explanatory role with respect to temporal qualia, but rather obfuscates what the philosophical problem of temporal qualia is. I offer a ‘reductionist’ account of temporal qualia that makes no reference to the concept of passage and argue that it is well motivated by empirical studies in motion perception. (shrink)

According to epistemological internalism, the rationality of a belief supervenes purely on "internal facts" about the thinker's mind. But what are "internal facts"? Why does the rationality of a belief supervene on them? The standard answers are unacceptable. This paper proposes new answers. "Internal facts" are facts about the thinker's nonfactive mental states. The rationality of a belief supervenes on such internal facts because we need rules of belief revision that we can follow directly, not by means of following any (...) other rules, and the proximate explanation of any belief revision always consists of such internal facts. (shrink)

Are the workings of the international world to be explained scientifically, or are they to be understood through their inward meaning? In Explaining and Understanding International Relations philosopher Martin Hollis and international relations scholar Steve Smith join forces to analyse the dominant theories of international relations and to examine the philosophical issues underlying them. The book has three parts. In the first the authors review the growth of the discipline since 1918, pose the 'level of analysis' problem of whether to (...) account for a sytem in terms of its units or vice versa, and contrast the demand of scientific method with those of interpretative understanding. In the second they apply the contrast to four factors often cited in accounting for international behaviour - the international system, the state, bureaucracies, and decision-making individuals. Rival accounts of the games nations play are offered in readiness for the final part, where the authors propose a theoretical agenda, air their differences, and invite readers to take sides. By tackling deep theoretical issues with lucidity and verve this book will excite debate among theorists and students of international relations while also engaging thought about the philosophical character of the social sciences. (shrink)

Background: Emergentism as an ontology of consciousness leaves unanswered the question as to its mechanism. Aim: I aim to solve the Body-Mind problem by explaining how conscious organisms emerged on an evolutionary basis at various times in accordance with an accepted scientific principle, through a mechanism that cannot be understood, in principle. Proposal: The reason for this cloak of secrecy is found in a seeming contradiction in the behaviour of information with respect to the first two laws of thermodynamics. Information, (...) the microstate of particles within an isolated system’s macrostate, can, like first law energy, be neither created nor destroyed, yet the information in the system, like second law entropy, will inevitably increase. To explain information increasing without being created, Laplace’s demon is invoked, able to predict where each particle is destined. This doesn’t work for emerging events like consciousness, which are unpredictable. This can be understood in terms of the derivation of entropy, and the emergence of classical physics, from the Relativistic Transactional Interpretation of Quantum Mechanics. I propose that the increased entropy in a time-irreversible, unpredictable (emergent) isolated system requires the simultaneous deletion of information concerning the steps, or calculations, involved. Conclusion: Thus, the steps leading to consciousness are immediately destroyed and must remain a mystery. Implications include that entropy, not panpsychism, is the Universal principle generative of consciousness, that our being conscious proves that we are not predetermined, and that consciousness requires assuming an “entropy debt” that can only be repaid by living organisms, prohibiting the emergence of conscious machines. (shrink)

What determines the degree to which some event harms a subject? According to the counterfactual comparative account, an event is harmful for a subject to the extent that she would have been overall better off if it had not occurred. Unlike the causation based account, this view nicely accounts for deprivational harms, including the harm of death, and for cases in which events constitute a harm rather than causing it. However, I argue, it ultimately fails, since not every intrinsically bad (...) state that is counterfactually dependent on an event contributes to its degree of harm. So while the causation based account is too restrictive, the counterfactual comparative view is not restrictive enough. In light of this, I suggest an alternative, explanation based account of overall harm, according to which the degree to which some event is harmful for a subject is determined by the degree to which (crudely) the states explained by it are overall more intrinsically bad than intrinsically good for her. (shrink)

Essentialist facts, facts about what is essential to what, are explanatorily distinctive. They can often be appealed to in the course of metaphysically explaining some fact, while themselves serving as explanatory ends. In other words, when one arrives in the course of an explanation at an essentialist fact, it often seems like a legitimate place to stop. In certain contexts, they seem to provide a metaphysical backstop to making further explanatory demands. This paper defends the view that essentialist facts are (...) zero-grounded. Just as we can think of certain logical truths as truths derivable from the empty set of premises, we can think of the zero-grounded facts as the facts that obtain in virtue of the empty set of facts. On this picture, the essentialist facts are grounded, but they are grounded literally in nothing—grounded for free, automatically, and by default. -/- This view has been unpopular for many reasons, including concerns about the obscurity of the notion of zero-grounding. Concerns notwithstanding, I make the case that the zero-grounding view fares better than the alternative ground-theoretic accounts in making sense of certain explanatory roles essences plausibly play. After some preliminary remarks on how we should understand what an essentialist fact is as well as which ones serve as explanation stoppers, I introduce a widespread and attractive picture of what the essentialist facts are; they are domain fixing facts. I then argue that this feature of the essentialist facts well-positions them to serve as explanation stoppers. Afterwards, I argue that the zero-ground view best accommodates the domain-fixing conception of essence. (shrink)

This paper evaluates the prospects of harnessing “anti-individualism” about the contents of perceptual states to give an account of the epistemology of perception, making special reference to Tyler Burge’s ( 2003 ) paper, “Perceptual Entitlement”. I start by clarifying what kind of warrant is provided by perceptual experience, and I go on to survey different ways one might explain the warrant provided by perceptual experience in terms of anti-individualist views about the individuation of perceptual states. I close by motivating accounts (...) which instead give a more prominent role to consciousness. (shrink)

Many philosophers consider explanation to be objective such that facts explain facts independently of human beings. This paper rejects such an ontological view and argues in favor of an epistemic view, named the pragmatic-rhetorical view, according to which explanations depend on our knowledge and are grounded in the public or scientific discourse.

Most psychological research aims to uncover generalizations about the mind that hold across subjects. Philosophical discussions of scientific explanation have focused on such generalizations, but in doing so, have often overlooked an important phenomenon: variation. Variation is ubiquitous in psychology and many other domains, and an important target of explanation in its own right. Here I characterize explananda that concern individual differences and formulate an account of what it takes to explain them. I argue that the notion of actual difference (...) making, the only causal concept in the literature that explicitly addresses variation, cannot be used to ground such an account. Instead, I propose a view on which explaining individual differences involves identifying causes that could be intervened on to reduce the variability in the population. This account provides criteria of success for explaining variation and deepens our understanding of causal explanation. (shrink)

Ideology is commonly defined along functional, epistemic, and genetic dimensions. This article advances a reasonably unified account that specifies how they connect and locates the mechanisms at work. I frame the account along a recent distinction between anchoring and grounding, endorse an etiological reading of functional explanations, and draw on current work about the epistemology of delusion, looping effects, and structuring causes to explain how ideologies originate, reproduce, and possibly collapse. This eventually allows articulating how the legitimating function of ideologies (...) relates to the constitutive and causal role they play when embedded into the facts they are originally designed to anchor. (shrink)

This paper introduces a model for evidence denial that explains this behavior as a manifestation of rationality and it is based on the contention that social values (measurable as utilities) often underwrite these sorts of responses. Moreover, it is contended that the value associated with group membership in particular can override epistemic reason when the expected utility of a belief or belief system is great. However, it is also true that it appears to be the case that it is still (...) possible for such unreasonable believers to reverse this sort of dogmatism and to change their beliefs in a way that is epistemically rational. The conjecture made here is that we should expect this to happen only when the expected utility of the beliefs in question dips below a threshold where the utility value of continued dogmatism and the associated group membership is no longer sufficient to motivate defusing the counter-evidence that tells against such epistemically irrational beliefs. (shrink)