There is a striking contrast between the significance of Harold Hotelling’s contribution to industrial economics and the fact that his location model was invalid, unrealistic and non-robust. It is difficult to make sense of the explanatory value of Hotelling’s model based on philosophical accounts that emphasize logical validity, representational adequacy, and robustness as determinants of explanatory value. However, these accounts are misleading because they overlook the context within which the explanatory value added of a (...) model is apprehensible. We present Hotelling’s model in its historical context and show why it is an important and explanatory model despite its apparent deficiencies. (shrink)

The relation between probabilistic and explanatory reasoning is a classical topic in philosophy of science. Most philosophical analyses are concerned with the compatibility of Inference to the Best Explanation with probabilistic, Bayesian inference, and the impact of explanatory considerations on the assignment of subjective probabilities. This paper reverses the question and asks how causal and explanatory considerations are affected by probabilistic information. We investigate how probabilistic information determines the explanatory value of a hypothesis, and in (...) which sense folk explanatory practice can be said to be rational. Our study identifies three main factors in reasoning about a explanatory hypothesis: cognitive salience, rational acceptability and logical entailment. This corresponds well to the variety of philosophical accounts of explanation. Moreover, we show that these factors are highly sensitive to manipulations of probabilistic information. This finding suggests that probabilistic reasoning is a crucial part of explanatory inferences, and it motivates new avenues of research in the debate about Inference to the Best Explanation and probabilistic measures of explanatory power. (shrink)

The question of how judgments of explanatory value inform probabilistic inference is well studied within psychology and philosophy. Less studied are the questions: How does probabilistic information affect judgments of explanatory value? Does probabilistic information take precedence over causal information in determining explanatory judgments? To answer these questions, we conducted two experimental studies. In Study 1, we found that probabilistic information had a negligible impact on explanatory judgments of event-types with a potentially unlimited number (...) of available, alternative explanations; causal credibility was the main determinant of explanatory value. In Study 2, we found that, for event-token explanations with a definite set of candidate alternatives, probabilistic information strongly affected judgments of explanatory value. In the light of these findings, we reassess under which circumstances explanatory inference is probabilistically sound. (shrink)

Citing an epistemic or cognitive asymmetry between experts and the public, it is easy to view the relation between scientists and citizens as primarily based on trust, rather than on the content of expert argumentation. In criticism of this claim, four theses are defended: Empirical studies suggest that content matters, while trust boasts persuasiveness. In social policy controversies, genuine expert-solutions are normally not available; if trust is important here, then a clear role for cognitive asymmetry is wanting. Social policy controversies (...) pivot on values, so that biases and ideologies may explain participant behavior. Few experts communicate perfectly; rather than cognitive ones, one might cite social differences. (shrink)

It is common knowledge that the notion of the unconscious is an essential part of psychoanalytic theory. In recent years, however, Arthur Pap and A. C. MacIntyre have argued that Freud's theory of the unconscious is not explanatory. But a close examination of Pap's and MacIntyre's arguments reveals that they are invalid. If one wishes to show that the theory of the unconscious is unexplanatory, different arguments will be necessary.

The literature on mathematical explanation contains numerous examples of explanatory, and not so explanatory proofs. In this paper we report results of an empirical study aimed at investigating mathematicians’ notion of explanatoriness, and its relationship to accounts of mathematical explanation. Using a Comparative Judgement approach, we asked 38 mathematicians to assess the explanatory value of several proofs of the same proposition. We found an extremely high level of agreement among mathematicians, and some inconsistencies between their assessments (...) and claims in the literature regarding the explanatoriness of certain types of proofs. (shrink)

The distinction between concept and conception has been widely debated in political philosophy, whereas in the philosophy of psychology is frequently used, but rarely focused on. This paper aims at filling in this lacuna. I claim that far from being explanatorily idle, the distinction makes it possible to provide an adequate description of phenomena such as genuine disagreement, and concept contestation, which would otherwise remain implausibly puzzling. I illustrate and assess three accounts of the concept-conception distinction. Finally I propose a (...) social externalist account, which relies on deference to experts, and builds on Tyler Burge’s ideas of many decades ago. The debate on concepts and conceptions thus shows a connection with the increasing research work on experts and expertise in psychology and social epistemology. (shrink)

Do multi-level selection explanations of the evolution of social traits deepen the understanding provided by single-level explanations? Central to the former is a mathematical theorem, the multi-level Price decomposition. I build a framework through which to understand the explanatory role of such non-empirical decompositions in scientific practice. Applying this general framework to the present case places two tasks on the agenda. The first task is to distinguish the various ways of suppressing within-collective variation in fitness, and moreover to evaluate (...) their biological interest. I distinguish four such ways: increasing retaliatory capacity, homogenising assortment, and collapsing either fitness structure or character distribution to a mean value. The second task is to discover whether the third term of the Price decomposition measures the effect of any of these hypothetical interventions. On this basis I argue that the multi-level Price decomposition has explanatory value primarily when the sharing-out of collective resources is `subtractable'. Thus its value is more circumscribed than its champions Sober and Wilson (1998) suppose. (shrink)

A frequent criticism of the neuroscientific approach to consciousness is that its theories describe only 'correlates' or 'analogues' of consciousness, and so fail to address the nature of consciousness itself. Despite its apparent logical simplicity, this criticism in fact relies on some substantive assumptions about the nature and evolution of scientific explanations. In particular, it is usually assumed that, in expressing correlations, neural correlate of consciousness (NCC) theories must fail to capture the causal structure relating brain and mind. Drawing on (...) work in the history and philosophy of science, I argue that this assumption - along with the related claim that even a correct NCC theory would fail to explain consciousness - is grounded in an inadequate conception of the way in which scientific explanations develop. Examination of parallel developments in 20th century biology reveals that, under the right circumstances, seemingly crude correspondences can play an essential role in scientific discovery and can sometimes become central to our everyday understanding of the phenomena in question. A proper understanding of this process clarifies the value of NCC theories and sheds light on the standards by which they should be evaluated. In closing, I describe two specific criteria for evaluating NCC proposals: intertheoretic bridge potential and detailed mapping. (shrink)

This dissertation starts with a concise overview of what philosophers of science have written about unification and its role in scientific explanation during the last 50 years to provide the reader with some background knowledge. In order to bring unification back into the picture, I have followed two strategies, resulting respectively in Parts I and II of this dissertation. In Part I the idea of unification is used to refine and enrich the dominant causalmechanist and causal-interventionist accounts of scientific explanation. (...) In this part of the dissertation I bracket the classical ideas about unification: deduction and derivation. I do grant, for the sake of argument, that explanations are causal and argue that unification is important from within this causalist perspective. In Part II I continue my strategy of digging into scientific practice to find cases of ontological unification. But here I distance myself from the dominant literature that all explanations must be causal. I will investigate whether explanatory unification is possible in non-causal explanations. Part III contains some further reflections and conclusions. I will formulate my primary results, and I will elaborate on their implications for thinking about unification and explanation. The different forms of ontological unification were quite diverse. This relates to the method I have used. Throughout this dissertation the types of unification that were discussed emerged from digging into scientific practice. This philosophy-of-science-practice approach steered me towards a pluralistic view on unification and on explanation. In this dissertation I do not try to develop a new model of explanation and compare it to existing models. The aim is to show that there are important types of explanatory practice which cannot be properly analyzed if we neglect unification as a desideratum for explanations. (shrink)

Zusammenfassung In der sportökonomischen Literatur ist in den vergangenen Jahren eine Hinwendung zum ökonomischen Ansatz unter Verwendung der Modellannahmen des Homo Oeconomicus festzustellen. In diesem Aufsatz wird argumentiert, dass dies Ausdruck des ökonomischen Imperialismus ist, weil unter ökonomischem Imperialismus die Anwendung der ökonomischen Methode auf originär außerwirtschaftliche Lebensbereiche zu verstehen ist. Darüber hinaus wird die Auffassung vertreten, dass diese Anwendung der ökonomischen Methode im Sport in den meisten Fällen zu fruchtbaren Ergebnissen und guten Erklärungen sozialer Situationen im Sport führt. Bei (...) der Anwendung der ökonomischen Methode sind aber die Grenzen und Gefahren hinsichtlich der Rationalität und Motivation der Akteure sowie hinsichtlich des normativen Gehalts der Methode zu berücksichtigen. (shrink)

Anti-reductionists hold that special science explanations of some phenomena are objectively better than physical explanations of those phenomena. Prominent defenses of this claim appeal to the multiple realizability of special science properties. I argue that special science explanations can be shown to be better, in one respect, than physical explanations in a way that does not depend on multiple realizability. Namely, I discuss a way in which a special science explanation may be more abstract than a competing physical explanation, even (...) if it is not multiply realizable, and I argue that this kind of abstraction can be used to support the idea that that special science explanation omits explanatorily irrelevant detail. (shrink)

A popular view in philosophy of science contends that scientific reasoning is objective to the extent that the appraisal of scientific hypotheses is not influenced by moral, political, economic, or social values, but only by the available evidence. A large body of results in the psychology of motivated-reasoning has put pressure on the empirical adequacy of this view. The present study extends this body of results by providing direct evidence that the moral offensiveness of a scientific hypothesis biases explanatory (...) judgment along several dimensions, even when prior credence in the hypothesis is controlled for. Furthermore, it is shown that this bias is insensitive to an economic incentive to be accurate in the evaluation of the evidence. These results contribute to call into question the attainability of the ideal of a value-free science. (shrink)

Orsi and Garcia argue that fitting-attitude analysis of value is vulnerable to an explanatory objection. On FA-analysis, for an object to be valuable is for it to be a fitting target of an attitude—a pro-attitude if its value is positive and a con-attitude if it is negative. For different kinds of value different kinds of attitudes are fitting: desire for desirability, admiration for admirability, etc. To explain the fittingness relation we therefor need to appeal to the (...) features of the relevant attitude, but these seldom, if ever, are needed for explaining the object’s value. This explanatory disparity between the analysans and the analysandum implies that FA-analysis must be incorrect. In our reply to Orsi and Garcia, we provide a refutation of their objection. We argue that the features of a fitting attitude do have a right place in the explanation of an object’s value, even though they are not among the properties that make the object valuable. They help to explain this value-making relation itself. (shrink)

The fitting attitude analysis of value states that for objects to have value is for them to be the fitting targets of attitudes. Good objects are the fitting targets of positive attitudes, while bad objects are the fitting targets of negative attitudes. The following paper presents an argument to the effect that value and the fittingness of attitudes differ in terms of their explanations. Whereas the fittingness of attitudes is explained, inter alia, by both the properties of (...) attitudes and those of their fitting targets, the explanation of value tends to have a different content. In particular, objects have value in virtue of the features that make them valuable, and these need not involve any attitudinal properties. If this is right, then there are reasons to doubt the claim that for objects to have value is just for them to be the fitting targets of attitudes. Insofar as value is a property, it appears to be distinct from the property of objects being the fitting targets of attitudes. (shrink)

The explanatory objection against the fitting attitude account of value states that if the properties of attitudes explain fittingness facts, but do not always explain value facts, then value facts cannot be identical with or reduced to fittingness facts. One reply to this objection is to claim that the constitutive properties of attitudes also explain value facts, for they are enablers for the value possessed by an object. In this paper we argue that the (...) enabling maneuver exposes FA to a new explanatory objection, to the extent that the explanatory role played by the constitutive properties of attitudes in value facts is assumed to be different from the explanatory role they play in fittingness facts. (shrink)

This article considers the popular thesis that a more proportional relationship between a cause and its effect yields a more abstract causal explanation of that effect, which in turn produces a deeper explanation. This thesis is taken to have important implications for choosing the optimal granularity of explanation for a given explanandum. In this article, I argue that this thesis is not generally true of probabilistic causal relationships. In light of this finding, I propose a pragmatic, interest-relative measure of (...) class='Hi'>explanatory depth. This measure uses a decision-theoretic model of information pricing to determine the optimal granularity of explanation for a given explanandum, agent, and decision problem. (shrink)

Though it is held that some models in science have explanatory value, there is no conclusive agreement on what provides them with this value. One common view is that models have explanatory value vis-à-vis some target systems because they are developed using an abstraction process. Though I think this is correct, I believe it is not the whole picture. In this paper, I argue that, in addition to the well-known process of abstraction understood as an (...) omission of features or information, there is also a family of abstraction processes that involve aggregation of features or information and that these processes play an important role in endowing the models they are used to build with explanatory value. After offering a taxonomy of abstraction processes involving aggregation, I show by considering in detail several models drawn from different sciences that the abstraction processes involving aggregation that are used to build these models are responsible for their having explanatory value. (shrink)

Abductive reasoning assigns special status to the explanatory power of a hypothesis. But how do people make explanatory judgments? Our study clarifies this issue by asking: How does the explanatory power of a hypothesis cohere with other cognitive factors? How does probabilistic information affect explanatory judgments? In order to answer these questions, we conducted an experiment with 671 participants. Their task was to make judgments about a potentially explanatory hypothesis and its cognitive virtues. In the (...) responses, we isolated three constructs: Explanatory Value, Rational Acceptability, and Entailment. Explanatory judgments strongly cohered with judgments of causal relevance and with a sense of understanding. Furthermore, we found that Explanatory Value was sensitive to manipulations of statistical relevance relations between hypothesis and evidence, but not to explicit information about the prior probability of the hypothesis. These results indicate that probabilistic information about statistical relevance is a strong determinant of Explanatory Value. More generally, our study suggests that abductive and probabilistic reasoning are two distinct modes of inference. (shrink)

The value of optimality modeling has long been a source of contention amongst population biologists. Here I present a view of the optimality approach as at once playing a crucial explanatory role and yet also depending on external sources of confirmation. Optimality models are not alone in facing this tension between their explanatory value and their dependence on other approaches; I suspect that the scenario is quite common in science. This investigation of the optimality approach thus (...) serves as a case study, on the basis of which I suggest that there is a widely felt tension in science between explanatory independence and broad epistemic interdependence, and that this tension influences scientific methodology. (shrink)

The claim defended in the paper is that the mechanistic account of explanation can easily embrace idealization in big-scale brain simulations, and that only causally relevant detail should be present in explanatory models. The claim is illustrated with two methodologically different models: Blue Brain, used for particular simulations of the cortical column in hybrid models, and Eliasmith’s SPAUN model that is both biologically realistic and able to explain eight different tasks. By drawing on the mechanistic theory of computational explanation, (...) I argue that large-scale simulations require that the explanandum phenomenon is identified; otherwise, the explanatory value of such explanations is difficult to establish, and testing the model empirically by comparing its behavior with the explanandum remains practically impossible. The completeness of the explanation, and hence of the explanatory value of the explanatory model, is to be assessed vis-à-vis the explanandum phenomenon, which is not to be conflated with raw observational data and may be idealized. I argue that idealizations, which include building models of a single phenomenon displayed by multi-functional mechanisms, lumping together multiple factors in a single causal variable, simplifying the causal structure of the mechanisms, and multi-model integration, are indispensable for complex systems such as brains; otherwise, the model may be as complex as the explanandum phenomenon, which would make it prone to so-called Bonini paradox. I conclude by enumerating dimensions of empirical validation of explanatory models according to new mechanism, which are given in a form of a “checklist” for a modeler. (shrink)

Joseph Raz accepts the ‘normative/explanatory nexus’ which states, roughly, that ‘necessarily normative reasons can explain the actions, beliefs, and the like of rational agents’ (From Normativity to Responsibility, 34). I agree with this rough statement, but I disagree with Raz on the details of the nexus. I further argue that, once we see the correct version of the nexus and the reasons why it is true, we must accept an account of the nature of normative reasons that goes against (...) another central commitment of Raz's. Specifically, we must reject Raz's view that ultimately, normative reasons for action are provided by the value of the relevant action. Instead, what it is to be a normative reason is to be a premise in good reasoning, of a certain sort. Actions supported by normative reasons may be valuable in some way, but it is not ultimately because of their value that we have normative reasons to perform them. I also briefly gesture at why the resulting type of ‘good reasoning’ view of normative reasons offers a more unified and explanatorily satisfying view of normative reasons for action, belief, and other responses than Raz's view. (shrink)

Most phase III clinical trials today are explanatory. Because explanatory, or efficacy, trials test hypotheses under “ideal” conditions, they are not well suited to providing guidance on decisions made in most clinical care contexts. Pragmatic trials, which test hypotheses under “usual” conditions, are often better suited to this task. Yet, pragmatic, or effectiveness, trials are infrequently carried out. This mismatch between the design of clinical trials and the needs of health care professionals is frustrating for everyone involved, and (...) explains some of the challenges inherent in attempts to enhance knowledge translation and encourage evidence-based practice. The situation is more than simply frustrating, however; it is potentially unethical. Clinical trials must be socially valuable in order to (1) warrant the risks they impose on human research subjects and (2) fairly and efficiently assess new clinical interventions. Most bioethicists would agree that trials that have no social value, for instance, because their results do not have the potential to advance clinical care, should not be performed. What is less widely appreciated is that given limited research resources, trials that are more socially valuable should be preferred to trials that are less socially valuable when all else is equal. With respect to clinical trial design, I argue that while explanatory trials often have some social value, many have less social value than their pragmatic counterparts. On the basis of this general ethical assessment, I provide a preliminary defense of the position that clinical researchers should aim to conduct pragmatic trials, that is, that researchers face a burden of justification related to any idealizing elements added to trial designs. (shrink)

This paper is concerned with the implication from value to fittingness. I shall argue that those committed to this implication face a serious explanatory challenge. This argument is not intended as a knock-down argument against FA but it will, I think, show that those who endorse the theory incur a particular explanatory burden: to explain how counterfactual favouring of actual value is possible. After making two important preliminary points I briefly discuss an objection to FA made (...) by Krister Bykvist a few years ago. The point of discussing this objection is to enable me to more easily present my own, and I believe stronger, version of that objection. The overall argument takes the form of, simply, a counterexample which can be constructed on the back of of my two preliminary points. Throughout the paper I try to respond to various objections. (shrink)

How is grounding related to metaphysical explanation? The standard view is that the former somehow “backs”, “undergirds” or “underlies” the latter. This view fits into a general picture of explanation, according to which explanations in general hold in virtue of a certain elite group of “explanatory relations” or “determinative relations” that back them. This paper turns the standard view on its head: grounding doesn't “back” metaphysical explanation but is in an important sense downstream from it. I call this view (...) “grounding idealism”, since it structurally resembles an analogous view about causation that is known as “causal idealism” and has been endorsed by philosophers like Michael Scriven and Philip Kitcher. I formulate a specific version of grounding idealism, Metaphysical Explanation‐First Idealism (MEFI), according to which the semantic value of ‘grounding’ is an abundant, gerrymandered relation settled by the metaphysical explanation facts. Then I offer some theoretical considerations that support MEFI over rival accounts of the relation between grounding and metaphysical explanation. Finally, I address the question of what role is left for grounding to play, if not that of “backing” metaphysical explanations. (shrink)

Explaining phenomena is one of the main activities in which scientists engage. This book proposes a new philosophical theory of scientific explanation by developing and defending the position of explanatory pluralism with the help of the notion of 'explanatory games'. Mantzavinos provides a descriptive account of the explanatory activity of scientists in different domains and shows how they differ from commonsensical explanations offered in everyday life by ordinary people and also from explanations offered in religious contexts. He (...) also shows how an evaluation and a critical appraisal of explanations put forward in different social arenas can take place on the basis of different values. Explanatory Pluralism provides solutions to all important descriptive and normative problems of the philosophical theory of explanation as illustrated in sophisticated case studies from economics and medicine, but also from mythology and religion. (shrink)

The ‘Big 3’ theories of well-being—hedonism, desire-satisfactionism, and objective list theory—attempt to explain why certain things are good for people by appealing to prudentially good-making properties. But they don’t attempt to explain why the properties they advert to make something good for a person. Perfectionism, the view that well-being consists in nature-fulfilment, is often considered a competitor to these views (or else a version of the objective list theory). However, I argue that perfectionism is best understood as explaining why certain (...) properties are prudentially good-making. This version of perfectionism is compatible with each of the Big 3, and, I argue, quite attractive. (shrink)

This paper concerns the relation between a proof’s beauty and its explanatory power – that is, its capacity to go beyond proving a given theorem to explaining why that theorem holds. Explanatory power and beauty are among the many virtues that mathematicians value and seek in various proofs, and it is important to come to a better understanding of the relations among these virtues. Mathematical practice has long recognized that certain proofs but not others have explanatory (...) power, and this paper offers an account of what makes a proof explanatory. This account is motivated by a wide range of examples drawn from mathematical practice, and the account proposed here is compared to other accounts in the literature. The concept of a proof that explains is closely intertwined with other important concepts, such as a brute force proof, a mathematical coincidence, unification in mathematics, and natural properties. Ultimately, this paper concludes that the features of a proof that would contribute to its explanatory power would also contribute to its beauty, but that these two virtues are not the same; a beautiful proof need not be explanatory. (shrink)

Mechanistic explanations, according to one prominent account, are derived from objective explanations (Craver 2007, 2014 ). Mechanistic standards of explanation are in turn pulled from nature, and are thereby insulated from the values of investigators, since explanation is an objectively defined achievement grounded in the causal structure of the world (Craver 2014 ). This results in the closure of mechanism’s explanatory standards—it is insulated from the values, norms and goals of investigators. I raise two problems with this position. First, (...) it relies on several ontological claims which, while plausible, fail to guarantee the objectivity of mechanistic explanatory standards to the degree of certainty required. Second, Craver’s position itself introduces a value–laden explanatory standard—the 3M requirement (Kaplan & Craver 2011 )—which undermines the closure of explanatory standards. I show how in practice mechanistic explanation is in part guided by explanatory taste, shorthand for background contextual values that influence our standards of explanation. Mechanism often has a particular pragmatically-oriented taste for control, and gerrymanders explanatory standards in order to obtain it. I conclude by arguing that objectivity, rather than being obtained through the right set of explanatory standards, is better thought of as the result of processes of intersubjective criticism, which renders visible the contextual values of communities of investigators and allows them to be controlled for (Longino 1990 ). (shrink)

Few errors were identified in the original publication of the article. The corrections are as follows.

One of the central aims of the philosophical analysis of mathematical explanation is to determine how one can distinguish explanatory proofs from non-explanatory proofs. In this paper, I take a closer look at the current status of the debate, and what the challenges for the philosophical analysis of explanatory proofs are. In order to provide an answer to these challenges, I suggest we start from analysing the concept understanding. More precisely, I will defend four claims: understanding is (...) a condition for explanation, unificatory understanding is a type of explanatory understanding, unificatory understanding is valuable in mathematics, and mathematical proofs can contribute to unificatory understanding. As a result, in a context where the epistemic aim is to unify mathematical results, I argue it is fruitful to make a distinction between proofs based on their explanatory value. (shrink)

We begin this article by delineating the explanatory gaps left by prevailing gene‐focused approaches in our understanding of phenotype determination, inheritance, and the origin of novel traits. We aim not to diminish the value of these approaches but to highlight where their implementation, despite best efforts, has encountered persistent limitations. We then discuss how each of these explanatory gaps can be addressed by expanding research foci to take into accountbiological agency—the capacity of living systems at various levels (...) to participate in their own development, maintenance, and function by regulating their structures and activities in response to conditions they encounter. Here we aim to define formally what agency and agents are and—just as importantly—what they are not, emphasizing that agency is an empirical property connoting neither intention nor consciousness. Lastly, we discuss how incorporating agency helps to bridge explanatory gaps left by conventional approaches, highlight scientific fields in which implicit agency approaches are already proving valuable, and assess the opportunities and challenges of more systematically incorporating biological agency into research programs. (shrink)

This chapter outlines a new disentangling strategy for moral epistemology. It builds on the fundamental distinction between value-neutrality and value-independence as two separate aspects of methodological austerity introduced by Matthew Kramer. This type of conceptual analysis is then applied to two major challenges in moral epistemology: globalised scepticism and debate fragmentation. Both challenges arise from collapsing the fact/value dichotomy. They can be addressed by comprehensive disentangling that runs along both dimensions – value neutrality vs. value (...) non-neutrality and value independence vs. value dependence. The success of this strategy rests on two factors. The first is broadening the scope of disentangling to include theoretical-explanatory values on a par with distinctly ethical values. The second is differentiating between wider and narrower conceptualisations of what value neutrality requires with respect to contested matters. The objective is to pre-empt unjust theorising, a distinctive form of epistemic injustice that derives from the exclusive methodological focus on ethical evaluations at the expense of epistemic ones. When these methodological conditions are fulfilled, opponents should gain the confidence to treat each other as fellow inquirers engaged in the same project, that of reducing the scope of unhelpful disagreements. (shrink)

This book is a survey of key issues in the theory of evaluation aimed at exhibiting and clarifying the rational nature of the thought-procedures involved. By means of theoretical analysis and explanatory case studies, this volume shows how evaluation is-or should be-a rational procedure directed at appropriate objectives. Above all, it maintains the objectivity of rational evaluation.

Computer simulations are usually considered to be non-explanatory because, when a simulation reveals that a property is instantiated in a system, it does not enable the exact identification of what it is that brings this property out (relevance requirement). Conversely, analytical deductions are widely considered to yield explanations and understanding. In this paper, I emphasize that explanations should satisfy the relevance requirement and argue that the more they do so, the more they have explanatory value. Finally, I (...) show that this emphasis on relevance has the unexpected consequence that simulations can sometimes be explanatory. (shrink)

According to an attractive and widely held view, all practical reasons are explained in terms of the (instrumental or final) value of the action supported by the reason. I argue that this theory is incompatible with plausible assumptions about the practical reasons that correspond to certain moral rights, including the right to a promised action and the right to an exclusive use of one’s property. The argument is an explanatory rather than extensional one: while the actions supported by (...) the relevant reasons (e.g. keeping a valid promise or respecting property) can be argued to have a certain kind of value, I argue that this value presupposes a moral right, and therefore cannot explain the reason. Reflection on such cases suggest the conclusion that reasons that are subject to normative powers are generally not value-based. This also has important implications for the dialectic between ‘value-first’ and ‘reasons-first’ approaches to normativity. (shrink)

Dasgupta poses a serious challenge to realism about natural properties. He argues that there is no acceptable explanation of why natural properties deserve the value realists assign to them and are consequently absent of value. In response, this paper defines and defends an alternative non-explanatory account of normativity compatible with realism. Unlike Lewis and Sider, who believe it is sufficient to defend realism solely on realist terms, I engage with the challenge on unfriendly grounds by revealing a (...) tu quoque. Dasgupta and anti-realists face a similar challenge to that directed against realism: one that not only undermines the objection to realism by legitimising non-explanatory normativity but leaves them facing a significant dilemma. (shrink)

It is commonly argued that an undesirable feature of a theoretical or phenomenological model is that salient observables are sensitive to values of parameters in the model. But in what sense is it undesirable to have such ‘fine-tuning’ of observables? In this paper, we argue that the fine-tuning can be interpreted as a shortcoming of the explanatory capacity of the model: in particular it signals a lack of a particular type of explanatory depth. The aspect of depth that (...) we probe relates most closely to a lack of sensitivity to changes in parameters associated with such models. In support of this argument, we develop a schema—for models that arise broadly in physical settings—that quantitatively relates fine-tuning of observables to a lack of depth of explanations based on these models. We apply our schema in two different settings in which, within each setting, we compare the depth of two competing explanations. The first setting involves explanations for the Euclidean nature of spatial slices of the universe today: in particular, we compare an explanation provided by the big-bang model of the early 1970s with an explanation provided by a general model of cosmic inflation. The second setting has a more phenomenological character, where the goal is to infer from a limited sequence of data points, using maximum entropy techniques, the underlying probability distribution from which these data are drawn. In both of these settings we find that our analysis favors the model that intuitively provides the deeper explanation of the observable of interest. We thus provide an account that relates two ‘theoretical virtues’ of models used broadly in physical settings—namely, a lack of fine-tuning and explanatory depth—and argue that finely tuned models sacrifice explanatory depth. (shrink)

There is, at present, controversy surrounding the role of the mathematical models which typify the more theoretical portions of ecology and evolutionary biology. Within these sciences there has been controversy about the “testability” of these models, both in terms of the ability of the model to make precise enough claims about the world, and in terms of our ability to determine the values of theoretical parameters. There has been concern, particularly in ecology, about the lack of realism characteristic of most (...) models as well. These are, for the most part, issues involving the nature of theoretical explanation. Much of the current debate about null hypothesis testing, the unfalsifiability of theory, and the role of theory is symptomatic, it would seem, of the fact that these sciences have not settled on what to expect from their most mathematical theories. If there is one emerging theme, it is the need, again especially in ecology, for pluralistic theoretical treatments - which suggests that they may have been expecting too much. (shrink)

Being and Value collects together fifteen essays by Nicholas Rescher on salient issue in metaphysics, axiology and metaphilosophy. In the way in which they shed new light on significant philosophical issues, these deliberations are emblematic of Rescher s characteristic way of illuminating timeless issues and historical perspectives in a reciprocal interrelationship. The chapter of the book are as follows: Being and Value: On the Prospect of Optimalism; On Evolution and Intelligent Design; Mind and Matter; Fallacies Regarding Free Will; (...) Sophisticating Naive Realism; Taxonomic Complexity and the Laws of Nature; Practical Vs. Theoretical Reason; Pragmatism as a Growth Industry; Cost Benefit Epistemology; Quantifying Quality; Explanatory Surdity; Can Philosophy be Objective?; On Ontology in Cognitive Perspective; Plenum Theory [Essay Written Jointly with Patrick Grim]; and Onometrics (On Referential Analysis in Philosophy)". (shrink)

Since the publication of Truth, Paul Horwich’s ‘Minimalism’ has become the paradigm of what goes under the label ‘the deflationary conception of truth’. Despite the many theoretical virtues of Horwich’s minimalism, it is usually contended that it cannot fully account for the normative role that truth plays in enquiry. As I see it, this concern amounts to several challenges. One such challenge—call it the axiological challenge—is about whether deflationists have the theoretical resources to explain the value of truth. Some (...) philosophers have argued that they do not. The thought is that by being valuable in the way it is, truth plays a non-trivial explanatory role with respect to core phenomena of enquiry. In order to account for this aspect of truth, the challenge goes, we need to inflate truth’s nature to an extent incompatible with core tenets of the minimalist conception. In this paper, I first provide some clarifications of what we mean exactly when we say that truth is valuable. By borrowing important distinction from the current debate in axiology, I elaborate a framework within which to conduct investigations into the value of truth. With reference to Horwich’s discussion of the issue, I then discuss the link between questions concerning the explanatory role of truth and the issue of its metaphysical inflation. I conclude by briefly exploring a few strategies on behalf of minimalists to address the axiological challenge. (shrink)

Philosophers who regard some mathematical proofs as explaining why theorems hold, and others as merely proving that they do hold, disagree sharply about the explanatory value of proofs by mathematical induction. I offer an argument that aims to resolve this conflict of intuitions without making any controversial presuppositions about what mathematical explanations would be.

Debate about cognitive science explanations has been formulated in terms of identifying the proper level(s) of explanation. Views range from reductionist, favoring only neuroscience explanations, to mechanist, favoring the integration of multiple levels, to pluralist, favoring the preservation of even the most general, high-level explanations, such as those provided by embodied or dynamical approaches. In this paper, we challenge this framing. We suggest that these are not different levels of explanation at all but, rather, different styles of explanation that capture (...) different, cross-cutting patterns in cognitive phenomena. Which pattern is explanatory depends on both the cognitive phenomenon under investigation and the research interests occasioning the explanation. This reframing changes how we should answer the basic questions of which cognitive science approaches explain and how these explanations relate to one another. On this view, we should expect different approaches to offer independent explanations in terms of their different focal patterns and the value of those explanations to partly derive from the broad patterns they feature. (shrink)

The approach set forth by Edward Craig in Knowledge and the State of Nature has a greater explanatory value than it has been granted to date, and his suitably modified project can resolve a number of puzzling issues regarding the value of knowledge. The paper argues that a novel theory that relates knowledge to testimony is capable of explaining why knowledge is more valuable than mere true belief and why it has a distinctive value. Significantly, this (...) theory avoids the recently advanced revisionism regarding the focus of epistemological research. La aproximación de Edward Craig en Knowledge and the State of Nature tiene más poder explicativo del apreciado hasta ahora, y su proyecto, adecuadamente modificado, puede resolver un número de asuntos sobre el valor del conocimiento que parecen desconcertantes. Se argumenta que una novedosa teoría de conocimiento que lo relaciona con el testimonio puede explicar por qué el conocimiento es más valioso que la mera creencia verdadera, y por qué tiene un valor distintivo. Significativamente, la teoría evita un revisionismo, recientemente avanzado, con respecto al foco de la investigación epistemológica. (shrink)

The exploration of chemical periodicity over the past 250 years led to the development of the Periodic System of Elements and demonstrates the value of vague ideas that ignored early scientific anomalies and instead allowed for extended periods of normal science where new methodologies and concepts are developed. The basic chemical element provides this exploration with direction and explanation and has shown to be a central and historically adaptable concept for a theory of matter far from the reductionist frontier. (...) This is explored in the histories of Prout’s hypothesis, Döbereiner Triads, element inversions necessary when ordering chemical elements by atomic weights, and van den Broeck’s ad-hoc proposal to switch to nuclear charges instead. The development of more accurate methods to determine atomic weights, Rayleigh and Ramsey’s gas separation and analytical techniques, Moseley’s X-ray spectroscopy to identify chemical elements, and more recent accelerator-based cold fusion methods to create new elements at the end of the Periodic Table point to the importance of methodological development complementing conceptual advances. I propose to frame the crossover from physics to chemistry not as a loss of accuracy and precision but as an increased application of vague concepts such as similarity which permit classification. This approach provides epistemic flexibility to adapt to scientific anomalies and the continued growth of chemical compound space and rejects the Procrustean philosophy of reductionist physics. Furthermore, it establishes chemistry with its explanatory and operational autonomy epitomized by the periodic system of elements as a gateway to other experimental sciences. (shrink)

Imogen Dickie's book Fixing Reference promises to reframe the investigation of mental intentionality, or what makes thoughts be about particular things. Dickie focuses on beliefs, and argues that if we can show how our ordinary means of belief formation sustain a certain connection between what our beliefs are about and how they are justified, we will have explained the ability of these ordinary means of belief formation to generate beliefs that are about particular objects. A worry about Dickie's approach is (...) that the explanation it offers is circular and thus not a genuine explanation of mental aboutness. This article develops a version of that worry in detail and turns it aside. Nonetheless, I argue that the explanatory value of the account remains unclear. While it does promise a dialectical advance over traditional theorizing about aboutness, it does not reveal how our ordinary means of belief formation make beliefs be about what they are about. (shrink)

While I welcome Mohan Matthen’s insistence that art is connected to aesthetic pleasure, I worry about his commitment to viewing pleasure as prior to, and constitutive of, the value of art. I raise my reservations by (i) dispelling his criticism of the reversed explanatory direction, and (ii) showing problems for his commitment. As an alternative, I offer an account of pleasure that explains it in terms of the independent value of art—an account that is free of the (...) problems Matthen raises against this explanatory approach. (shrink)

Neo-sentmentalism is the view that to judge that something has an evaluative property is to judge that some affective or emotional response is appropriate with respect to it. The difficulty in assessing neo-sentimentalism is that it allows for radically different versions. My aim is to spell out what I take to be its most plausible version. I distinguish between a normative version, which takes the concepts of appropriateness to be normative, and a descriptive version, which claims that appropriateness in emotions (...) is a matter of correspondence to evaluative facts. I argue that the latter version can satisfy the normativity requirement that follows from Moore's Open Question Argument, that it is superior to the former with respect to the explanatory role of values, and with respect to the Wrong Kind of Reason Objection. Finally, I argue that the circularity that is involved is not vicious: understood epistemically, neo-sentimentalism remains instructive. (shrink)

According to Woodward’s causal model of explanation, explanatory information is relevant for manipulation purposes and indicates by means of invariant causal relations how to change the value of certain target explanandum variables by intervening on others. Therefore, the depth of an explanation is evaluated through the size of the domain of invariance of the generalization involved. In this article, I argue that Woodward’s account of explanatory relevance is still unsatisfactory and claim that the depth of an explanation (...) should be explicated in terms of the size of the domain of circumstances which it designates as leaving the explanandum unchanged. (shrink)