Revealed preference approaches to modelling agents’ choices face two seemingly devastating explanatory objections. The no self-explanation objection imputes a problematic explanatory circularity to revealed preference approaches, while the causal explanation objection argues that, all things equal, a scientific theory should provide causal explanations, but revealed preference approaches decidedly do not. Both objections assume a view of explanation, the constraint-based view, that the revealed preference theorist ought to reject. Instead, the revealed preference theorist should adopt a unificationist account of explanation, allowing (...) her to escape the two explanatory problems discussed in this paper. (shrink)

There are two putative disanalogies between moral explanations and other sorts of higher-order explanations. First, moral properties epistemically depend on their non-normative base properties. Some might thus argue that the explanatory role of moral properties entirely derive from the role of non-normative base properties. Second, moral explanations seem to be characteristically mediated by our moral beliefs, attitudes, and sensibilities, etc., in a way in which most higher-order explanations are not. It could thus be argued that alleged moral explanations are just (...) an elliptical form of psychological explanation. These arguments against moral explanation don’t seem to challenge many other kinds of higher-order explanations. In my paper, I attempt to show that the two putative disanalogies do not in the end raise serious challenges to the explanatory efficacy of the moral. In doing so, I appeal to a unificationist account of explanation to vindicate the explanatory efficacy of moral properties. I argue that moral facts or properties can have explanatory power due to their distinctive unifying role (even if they are irreducible to non-normative properties). (shrink)

What makes cases of pure risking sometimes wrong? There is a strong intuition that the wrongness of pure risking stands in an explanatory relationship with the wrongness of the non-risky act, other things being equal. Yet, we cannot simply take this for granted insofar as in cases of wrongful pure risking, the risked outcome fails to materialize. To this end, I motivate and develop an underexplored approach in the literature that I call Unificationism. According to the Unificationist account that (...) I defend, the fact that pure risking φ is pro tanto wrong is grounded by a general moral fact that φ-ing is pro tanto or all-things-considered wrong, other things being equal. This relationship holds even if and when an agent’s risky conduct fails to transpire or culminate into φ-ing ex post. I argue that this Unificationist account captures our explanatory intuition, avoids problems of extensional and explanatory inadequacy that existing alternative faces, and most importantly, renders Unificationism as a plausible view within the ethics of pure risking. (shrink)

This article explores some issues associated with Philip Kitcher's unificationist theory of explanation, including the contrast between epistemic and ontic approaches to explanation, and the implications of Kitcher’s theory for the autonomy of the special sciences.

In this essay, I propose a functionalist theory of grounding (functionalist-grounding). Specifically, I argue that grounding is a second-order phenomenon that is realized by relations that play the noncausal explanatoriness role. I also show that functionalist-grounding can deal with a powerful challenge. Appeals to explanatory unificationism have been made to argue that the success of noncausal explanations does not depend on the existence of grounding relations. Against this, I argue that a systematization involving functionalist-grounding is superior to its anti-relational (...) counterpart. (shrink)

What is the relation between scientific explanation and understanding? The thesis investigates a notion of understanding that is believed to be central to scientific explanation. The role of understanding in explanation is double: it is both an essential component, as well as a criterion, by which we select bona fide explanations from non-explanations. The model of explanation that is outlined in the thesis is a version of the unificationist model of explanation. In the thesis, this model is compared to Hempel's (...) covering law model. The two models share some assumptions, but as it turns out, the unificationist model has more resources and is better suited to meet some of the objections that have been thought to be detrimental to the covering law model. The final part of the thesis is an investigation of theory reduction. The contention is that reduction is best accounted for as a sort of explanation, and it is argued that as such, it is best understood within the framework of the unificationist model of explanation that is outlined in the first part of the thesis. (shrink)

The unificationist theory of causal explanation offers a theory of causation and explanation with no causal primitives. Kitcher proposed that it offered an account of explanatory asymmetry, but his proposal has been criticized for being too dependent on contingent facts and surreptitiously supposing causal realism. In addition, critics have argued that unificationism cannot account for asymmetry in a world with symmetric laws of physics and is lead to accept backwards explanation in certain epistemic situations. Unificationism has been defended (...) from some of these objections. We critique those defenses, rejecting some and developing others, as well as adding new ones. In doing so, we argue that objectors are wrong to treat explanatory asymmetry as an a priori matter and that unificationism is appropriately sensitive to the right sort of empirical facts. (shrink)

The articulation of an overarching account of scientific explanation has long been a central preoccupation for the philosophers of science. Although a while ago the literature was dominated by two approaches—a causal account and a unificationist account—today the consensus seems to be that the causal account has won. In this paper, I challenge this consensus and attempt to revive unificationism. More specifically, I aim to accomplish three goals. First, I add new criticisms to the standard anti-unificationist arguments, in order (...) to motivate the need for a revision of the doctrine. Second, and most importantly, I sketch such a revised version. Then I argue that, contrary to widespread belief, the causal account and this revised unificationist account of explanation are compatible. Moreover, I also maintain that the unificationist account has priority, since a most satisfactory theory of explanation can be obtained by incorporating the causal account, as a sub-component of the unificationist account. The driving force behind this reevaluation of the received view in the philosophy of explanation is a reconsideration of the role of scientific understanding. (shrink)

This paper defends a unificationist theory of explanation. I first explore the notion of understanding entrenched by the unificationist. Then I present an overview of various kinds of causal statements and explanations. It is claimed that only genuine causal law statements have explanatory power. Finally, I attempt to fit causal explanations into the unificationist theory of explanation. In this way, I try to provide an account of how causal explanations provide understanding of the phenomena that they explain.

Abstract Psychology's goal has been to become a science, taking the modern natural sciences as the model. It has not been understood that each science undergoes a transition from early disunification to later unification, that a fundmental dimension is involved that differentiates sciences. Psychology is a modern disunified science, distinguished by its chaotic knowledge and ways of operating. A philosophy of science based on modem unified science, as philosophies generally are, is inappropriate as a means of understanding psychology or of (...) guiding its development. We need a philosophy to describe the special problems of theory construction of modern disunified sciences, and to advance paths by which to work on those problems. Theory tasks to be undertaken in large quantities range from articles to reduce artificial diversity to the construction of grand unified theory. Psychology must begin those tasks, and it must understand its characteristics as a modern disunified science, if it is to make good decisions concerning its development and organization. Otherwise it will continue on its path towards fragmentation, an impenetrable obstacle to full development as a science and a profession. (shrink)

By reducing the explanatory power of theories to their unifying power, unificationism seems the best candidate for a theory of explanatory relevance. I argue that Philip Kitcher's version of unificationism, which relies on the central concept of an argument pattern, can in principle not live up to such an expectation, because his notion of stringency, which is needed to distinguish between genuine and spurious unifications, relies on a prior notion of explanatory relevance.

Husserl’s early picture of explanation in the sciences has never been completely provided. This lack represents an oversight, which we here redress. In contrast to currently accepted interpretations, we demonstrate that Husserl does not adhere to the much maligned deductive-nomological (DN) model of scientific explanation. Instead, via a close reading of early Husserlian texts, we reveal that he presents a unificationist account of scientific explanation. By doing so, we disclose that Husserl’s philosophy of scientific explanation is no mere anachronism. It (...) is, instead, tenable and relevant. We discuss how Husserl and other contemporary thinkers draw theoretical inspiration from the same source—namely, Bernard Bolzano. Husserl’s theory of scientific explanation shares a common language and discusses the same themes as, for example, Phillip Kitcher and Kit Fine. To advance our novel reading, we discuss Husserl’s investigations of grounding, inter-lawful explanation, intra-mathematical explanation, and scientific unification. (shrink)

In his later years, Wesley Salmon believed that the two dominant models of scientific explanation (his own causal-mechanical model and the unificationist model) were reconcilable. Salmon envisaged a 'new consensus' about explanation: he suggested that the two models represent two 'complementary' types of explanation, which may 'peacefully coexist' because they illuminate different aspects of scientific understanding. This paper traces the development of Salmon's ideas and presents a critical analysis of his complementarity thesis. Salmon's thesis is rejected on the basis of (...) two objections, and an alternative view of the relation between different types of explanation is proposed. (shrink)

This article aims to develop a new account of scientific explanation for computer simulations. To this end, two questions are answered: what is the explanatory relation for computer simulations? And what kind of epistemic gain should be expected? For several reasons tailored to the benefits and needs of computer simulations, these questions are better answered within the unificationist model of scientific explanation. Unlike previous efforts in the literature, I submit that the explanatory relation is between the simulation model and the (...) results of the simulation. I also argue that our epistemic gain goes beyond the unificationist account, encompassing a practical dimension as well. (shrink)

It is an open question whether we ever successfully explain earlier states by appealing to later ones, and, further, whether this is even possible. Typically, these two questions are answered in the same way: if we give and accept ‘backwards explanations,’ they must be possible; if they are impossible, we are right to reject them. I argue that backwards explanations are brittle—they fail if the future event does not occur—and this is part of the reason they are not accepted about (...) the actual world. This does not mean, however, that they must be rejected entirely. I argue that backwards explanations are possible for certain systems. This shields unificationism about scientific explanation from some recent criticisms. (shrink)

Given the diversity of explanatory practices that is typical of the sciences a healthy pluralism would seem to be desirable where theories of explanation are concerned. Nevertheless, I argue that explanations are only unifying in Kitcher's unificationist sense if they are backed by the kind of understanding of underlying mechanisms, dispositions, constitutions, and dependencies that is central to a causalist account of explanation. This case can be made through analysis of Kitcher's account of the conditions under which apparent improvements in (...) unifying power may be judged spurious. But to clarify what is at issue I consider an archaeological case in which debate about the merits of an ambitious explanatory account reproduces exactly the intuitions that divide Salmon and Kitcher. The case in question is the “demic-diffusion” account of contemporary linguistic diversity advanced by Renfrew in the late 1980s: the thesis that the diffusion of agricultural populations, itself attributed to demographic pressure, was responsible for the spread of the ancestral root languages (e.g., proto-Indo-Eurpoean) that account for the existence and distribution of linguistic macrofamilies. The credibility of this powerfully unifying argument pattern depends entirely on the plausibility of its claims about the conditions and mechanisms actually responsible for the explanandum, the spread of agriculture, and not on an elaboration of its unificationist virtues. (shrink)

This chapter contains sections titled: Unificationist Accounts of Causation Conditional Theories Counterfactuals Causation as a Process Probability Exceptionalism Eliminativism Primitivism References.

This paper develops and motivates a unification theory of metaphysical explanation, or as I will call it, Metaphysical Unificationism. The theory’s main inspiration is the unification account of scientific explanation, according to which explanatoriness is a holistic feature of theories that derive a large number of explananda from a meager set of explanantia, using a small number of argument patterns. In developing Metaphysical Unificationism, I will point out that it has a number of interesting consequences. The view offers (...) a novel conception of metaphysical explanation that doesn’t rely on the notion of a “determinative” or “explanatory” relation; it allows us to draw a principled distinction between metaphysical and scientific explanations; it implies that naturalness and fundamentality are distinct but intimately related notions; and perhaps most importantly, it re-establishes the unduly neglected link between explanation and understanding in the metaphysical realm. A number of objections can be raised against the view, but I will argue that none of these is conclusive. The upshot is that Metaphysical Unificationism provides a powerful and hitherto overlooked alternative to extant theories of metaphysical explanation. (shrink)

In a recent reply to our article, “What is Interpretability?,” Prasetya argues against our position that artificial neural networks are explainable. It is claimed that our indefeasibility thesis—that adding complexity to an explanation of a phenomenon does not make the phenomenon any less explainable—is false. More precisely, Prasetya argues that unificationist explanations are defeasible to increasing complexity, and thus, we may not be able to provide such explanations of highly complex AI models. The reply highlights an important lacuna in our (...) original paper, the omission of the unificationist account of explanation, and affords us the opportunity to respond. Here, we argue that artificial neural networks are explainable in a way that should satisfy unificationists and that interpretability methods present ways in which ML theories can achieve unification. (shrink)

Achieving understanding of nature is one of the aims of science. In this paper we offer an analysis of the nature of scientific understanding that accords with actual scientific practice and accommodates the historical diversity of conceptions of understanding. Its core idea is a general criterion for the intelligibility of scientific theories that is essentially contextual: which theories conform to this criterion depends on contextual factors, and can change in the course of time. Our analysis provides a general account of (...) how understanding is provided by scientific explanations of diverse types. In this way, it reconciles conflicting views of explanatory understanding, such as the causal-mechanical and the unificationist conceptions. (shrink)

his article develops a framework for addressing racial ontologies in transnational perspective. In contrast to simple contextualist accounts, it is argued that a globally engaged metaphysics of race needs to address transnational continuities of racial ontologies. In contrast to unificationist accounts that aim for one globally unified ontology, it is argued that questions about the nature and reality of race do not always have the same answers across national contexts. In order address racial ontologies in global perspective, the article develops (...) a framework that accounts for both continuities and discontinuities by looking beyond the referents of narrowly defined core concepts. By shifting the focus from narrow concepts to richer conceptions of race, racial ontologies become comparable through globally related but nonetheless distinct mappings between conceptions and property relations. The article concludes by showing how this framework can generate novel insights in case studies from Asia, Europe, and Latin America. (shrink)

In recent years, an active research program has emerged that aims to develop a Humean best-system account (BSA) of laws of nature that improves on Lewis’s canonical articulation of the view. Its guiding idea is that the laws are cognitive tools tailored to the specific needs and limitations of creatures like us. While current versions of this “pragmatic Humean” research program fare much better than Lewis’s account along many dimensions, I will argue that they have trouble making sense of certain (...) key features of the practice of fundamental physics. Indeed, these features seem to go against the very idea that laws are useful for agents like us. In my view, Humeans can address these issues by paying more attention to the explanatory role of laws. Following this idea, I will propose an account on which what makes a systematization the best is a kind of explanatory power, understood along the lines of the unificationist theory of explanation. The resulting view, I will argue, can make sense of those features of laws that other pragmatic accounts of laws have trouble explaining. (shrink)

This paper offers a new account of metaphysical explanation. The account is modelled on Kitcher’s unificationist approach to scientific explanation. We begin, in Sect. 2, by briefly introducing the notion of metaphysical explanation and outlining the target of analysis. After that, we introduce a unificationist account of metaphysical explanation before arguing that such an account is capable of capturing four core features of metaphysical explanations: irreflexivity, non-monotonicity, asymmetry and relevance. Since the unificationist theory of metaphysical explanation inherits irreflexivity and non-monotonicity (...) directly from the unificationist theory of scientific explanation that underwrites it, we focus on demonstrating how the account can secure asymmetry and relevance. (shrink)

In a recent article, Erasmus, Brunet, and Fisher (2021) argue that Artificial Neural Networks (ANNs) are explainable. They survey four influential accounts of explanation: the Deductive-Nomological model, the Inductive-Statistical model, the Causal-Mechanical model, and the New-Mechanist model. They argue that, on each of these accounts, the features that make something an explanation is invariant with regard to the complexity of the explanans and the explanandum. Therefore, they conclude, the complexity of ANNs (and other Machine Learning models) does not make them (...) less explainable. In this reply, it is argued that Erasmus et al. left out one influential account of explanation from their discussion: the Unificationist model. It is argued that, on the Unificationist model, the features that makes something an explanation is sensitive to complexity. Therefore, on the Unificationist model, ANNs (and other Machine Learning models) are not explainable. It is emphasized that Erasmus et al.’s general strategy is correct. The literature on explainable Artificial Intelligence can benefit by drawing from philosophical accounts of explanation. However, philosophical accounts of explanation do not settle the problem of whether ANNs are explainable because they do not unanimously declare that explanation is invariant with regard to complexity. (shrink)

In this paper significant challenges are raised with respect to the view that explanation essentially involves unification. These objections are raised specifically with respect to the well-known versions of unificationism developed and defended by Michael Friedman and Philip Kitcher. The objections involve the explanatory regress argument and the concepts of reduction and scientific understanding. Essentially, the contention made here is that these versions of unificationism wrongly assume that reduction secures understanding.

Issues concerning scientific explanation have been a focus of philosophical attention from Pre- Socratic times through the modern period. However, recent discussion really begins with the development of the Deductive-Nomological (DN) model. This model has had many advocates (including Popper 1935, 1959, Braithwaite 1953, Gardiner, 1959, Nagel 1961) but unquestionably the most detailed and influential statement is due to Carl Hempel (Hempel 1942, 1965, and Hempel & Oppenheim 1948). These papers and the reaction to them have structured subsequent discussion concerning (...) scientific explanation to an extraordinary degree. After some general remarks by way of background and orientation (Section 1), this entry describes the DN model and its extensions, and then turns to some well-known objections (Section 2). It next describes a variety of subsequent attempts to develop alternative models of explanation, including Wesley Salmon's Statistical Relevance (Section 3) and Causal Mechanical (Section 4) models and the Unificationist models due to Michael Friedman and Philip Kitcher (Section 5). Section 6 provides a summary and discusses directions for future work. (shrink)

What are scientific theories and how should they be represented? In this article, I propose a causal–structural account, according to which scientific theories are to be represented as sets of interrelated causal and credal nets. In contrast with other accounts of scientific theories (such as Sneedian structuralism, Kitcher’s unificationist view, and Darden’s theory of theoretical components), this leaves room for causality to play a substantial role. As a result, an interesting account of explanation is provided, which sheds light on explanatory (...) unification within a causalist framework. The theory of classical genetics is used as a case study. 1 Introduction2 The Theory of Classical Genetics3 Three Philosophical Accounts of the Theory of Classical Genetics3.1 The structuralist account3.2 Kitcher’s unificationism3.3 Darden and theory change in science4 A Common Lacuna: Where is Causality?5 Woodward’s Interventionist Account of Causation6 Causal Bayes Nets and Their Interrelations6.1 Causal Bayes nets6.2 Relations among causal nets6.3 Credal nets and their interrelations7 The Theory of the Gene and its Causal Graph8 A First Exemplar: Stem Length in Pea Plants8.1 Three crosses on stem length in pea plants8.2 The causal graph for stem length in pea plants8.3 Morgan’s explanatory principles and the credal net for stem length in pea plants9 Explaining Mendel’s Crosses: A Causal–Structural Account10 Monohybrid Crosses with Complete Dominance11 Exemplars,Explanatory Patterns, Generic Credal Nets, and Mechanism Schemas12 Incomplete Dominance13 Anomalies14 Multi-hybrid Crosses with Independent Assortment15 Multi-hybrid Crosses with Linkage and Crossing-Over16 Double Crossing-Over and the Linear Order of the Gene17 Causal–Structural Explanation18 Explanatory Unification19 Concluding Remarks. (shrink)

Some scholars see interdisciplinarity as a special case of a broader unificationist program. They accept the unification of the sciences as a regulative ideal, and derive from this the normative justification of interdisciplinary research practices. The crucial link for this position is the notion of integration: integration increases the cohesion of concepts and practices, and more specifically of explanations, ontologies, methods and data. Interdisciplinary success then consists in the integration of fields or disciplines, and this constitutes success in the sense (...) that unification is epistemically desirable. In contrast to this account, I defend the thesis that successful interdisciplinary interaction does not necessarily imply the integration of these disciplines. I show this at the hand of two cases. In both the case of evolutionary game theory and the case of hyperbolic discounting, genuine interdisciplinary exchange took place. From both exchanges, the respective economic fields emerged substantially altered – it wasn’t just a juxtaposition of disciplines in which disciplinary identities remained unchanged. Yet in neither case did the disciplines integrate. Rather, they developed their own concepts and methods, their own explanations, own ontologies, and their own views of what proper data standards were. Furthermore, the fields that emerged from these exchanges were very successful, if measured at the hand of properties like explanatory success, increase of control, bibliometrics and grant yields. Thus, I argue, there are cases of interdisciplinary success without integration. (shrink)

Despite widespread agreement that ambivalence precludes agency “at its best,” in this paper I argue that ambivalence as such is no threat to one’s agency. In particular, against “unificationists” like Harry Frankfurt I argue that failing to be fully integrated as an agent, lacking purity of heart, or being less than wholehearted in one’s choices, tells us nothing about whether an agent’s will is properly functioning. Moreover, it will turn out that in many common circumstances, wholeheartedness with respect to some (...) motive or course of action is itself a defect in an agent’s will. (shrink)

How should billions of species observations worldwide be shared and made reusable? Many biodiversity scientists assume the ideal solution is to standardize all datasets according to a single, universal classification and aggregate them into a centralized, global repository. This ideal has known practical and theoretical limitations, however, which justifies investigating alternatives. To support better community deliberation and normative evaluation, we develop a novel conceptual framework showing how different organizational models, regulative ideals and heuristic strategies are combined to form shared infrastructures (...) supporting data reuse. The framework is anchored in a general definition of data pooling as an activity of making a taxonomically standardized body of information available for community reuse via digital infrastructure. We describe and illustrate unified and pluralistic ideals for biodiversity data pooling and show how communities may advance toward these ideals using different heuristic strategies. We present evidence for the strengths and limitations of the unification and pluralistic ideals based on systemic relationships of power, responsibility and benefit they establish among stakeholders, and we conclude the pluralistic ideal is better suited for biodiversity data. (shrink)

In this paper we argue that quantum mechanics provides a genuine kind of structural explanations of quantum phenomena. Since structural explanations only rely on the formal properties of the theory, they have the advantage of being independent of interpretative questions. As such, they can be used to claim that, even in the current absence of one agreed-upon interpretation, quantum mechanics is capable of providing satisfactory explanations of physical phenomena. While our proposal clearly cannot be taken to solve all interpretive issues (...) raised by quantum theory, we will argue that it can be successfully applied to some of its most puzzling phenomena, such Heisenberg's uncertainty relations and quantum non-locality. The discussion of these two case studies will also serve to illustrate the main properties of structural explanations and compare them to the DN and the unificationist models. Finally, we briefly discuss how structural explanations might relate to structural realism. (shrink)

Although there is a consensus among philosophers of mathematics and mathematicians that mathematical explanations exist, only a few authors have proposed accounts of explanation in mathematics. These accounts fit into the unificationist or top-down approach to explanation. We argue that these models can be complemented by a bottom-up approach to explanation in mathematics. We introduce the mechanistic model of explanation in science and discuss the possibility of using this model in mathematics, arguing that using it does not presuppose a Platonist (...) view of mathematics and allows one to gain insight into why a theorem is true by answering what-if-things-had-been-different questions. (shrink)

Ambivalence is a form of inner volitional conflict that we experience as being irresolvable without significant cost. Because of this, very few of us relish feelings of ambivalence. Yet for many in the Western philosophical tradition, ambivalence is not simply an unappealing experience that's hard to manage. According to Unificationists--whose view finds its historical roots in Plato and Augustine and is ably defended by contemporary philosophers such as Harry Frankfurt and Christine Korsgaard--ambivalence is a failure of well-functioning agency. The reasons (...) for this, we're told, are threefold. First, it precludes agents from resolving their wills in a way that is necessary for autonomy. Second, it precludes agents from fully affirming their live and, in particular, from fully affirming the choices they make. As a result, ambivalence robs them of an important source of meaning. Finally, ambivalence causes agents to act in self-defeating ways. In so doing, they act without integrity. Ambivalence is thus seen as a threat to a trio of important agential goods, and as a result, it imperils the best forms of human agency. -/- Against the Unificationists, D. Justin Coates argues that ambivalence does not preclude volitional resolution or normatively significant forms of affirmation. Nor does it guarantee self-defeat. Consequently, ambivalence as such is no threat to autonomy, meaning, or integrity. In assessing these arguments, ambivalence is also revealed to have an important role in securing the very goods that unificationists contend it undermines. The reason for this is that each of these goods requires the agent to be normatively competent. But normative competence itself, Coates argues, often leads agents to be ambivalent. The best forms of human agency are therefore shown to be not only compatible with ambivalence but as regularly requiring it. Ambivalence is thus not a volitional defect, but a crucial constituent of well-functioning agency. (shrink)

In this paper, I argue that unification is neither necessary nor sufficient for explanation. Focusing on the versions of the unificationist theory of explanation of Kitcher and of Schurz and Lambert, I establish three theses. First, Kitcher’s criterion of unification is vitiated by the fact that it entails that every proposition can be explained by itself, a flaw that it is unable to overcome. Second, because neither Kitcher’s theory nor that of Schurz and Lambert can solve the problems of asymmetry (...) and accidental generalizations, it follows that unification is not sufficient to ground explanation. Third, some good explanations are disunifying, which entails that unification is not necessary for explanation either. (shrink)

This article offers a fresh assessment of the views of the American paleontologist and evolutionary biologist Stephen Jay Gould on the relation of science and religion. Gould is best known for his celebrated notion of “nonoverlapping magisteria,” which is often seen in somewhat negative terms as inhibiting dialogue. However, as a result of his critique of the unificationist approach to knowledge developed in Edward O. Wilson's Consilience, Gould later made increased use of the more positive notion of a “consilience of (...) equal regard,” which recognized the porous nature of disciplinary divides and the propriety of interdisciplinary dialogue. Gould's final views on the relation of science and religion, set out in The Hedgehog, the Fox, and the Magister's Pox, published after his death, affirms the distinctiveness and autonomy of science and religion on the one hand, while encouraging their constructive dialogue and productive interaction on the other. This should now be seen as Gould's definitive statement on this question. (shrink)

In this article, I explore the compatibility of inference to the best explanation (IBE) with several influential models and accounts of scientific explanation. First, I explore the different conceptions of IBE and limit my discussion to two: the heuristic conception and the objective Bayesian conception. Next, I discuss five models of scientific explanation with regard to each model’s compatibility with IBE. I argue that Kitcher’s unificationist account supports IBE; Railton’s deductive–nomological–probabilistic model, Salmon’s statistical-relevance model, and van Fraassen’s erotetic account are (...) incompatible with IBE; and Salmon’s causal–mechanical model is merely consistent with IBE. In short, many influential models of scientific explanation do not support IBE. I end by outlining three possible conclusions to draw: (1) either philosophers of science or defenders of IBE have seriously misconstrued the concept of explanation, (2) philosophers of science and defenders of IBE do not use the term ‘explanation’ univocally, and (3) the ampliative conception of IBE, which is compatible with any model of scientific explanation, deserves a closer look. (shrink)

The article deals with the relationship between theological ethics and moral philosophy. The former is seen as a theoretical reflection on Christian ethics, the latter as one on secular ethics. The main questions asked are: Is there one and only one pre-theoretical knowledge about acting rightly? Does philosophy provide us with the theoretical framework for understanding both Christian and secular ethics? Both questions are answered in the negative. In the course of argument, four positions are presented: theological unificationism, philosophical (...) unificationism, theological separationism and Lutheran dualism. It is argued that the latter position is most convincing. It is dual in the sense of being both a theory of Christian ethics and of including a recognition of natural law. Hence, it unites a particularistic and a universalistic point of view. In the last section a reformulation of the Lutheran position is attempted in making use of the ethical theory of Knud E. Løgstrup''s The Ethical Demand. (shrink)

ABSTRACT: Whereas relevance in scientific explanations is usually discussed as if it was a single problem, several criteria of relevance will be distinguished in this paper. Emphasis is laid upon the notion of intra-scientific relevance, which is illustrated using explanation of the law of areas as an example. Traditional accounts of explanation, such as the causal and unificationist accounts, are analyzed against these criteria of relevance. Particularly, it will be shown that these accounts fail to indicate which explanations fulfill the (...) condition of intra-scientific relevance. Finally, the significance of this latter criterion is emphasized, and the epistemic benefits of explanations that fulfill it are highlighted. (shrink)

This paper is a critical discussion of John Dupré's recent defence of promiscuous realism in Part 1 of his The Disorder of Things: Metaphysical Foundations of the Disunity of Science. It also discusses some more general issues in the philosophy of biology and science. Dupré's chief strategy of argumentation appeals to debates within the philosophy of biology, all of which concern the nature of species. While the strategy is well motivated, I argue that Dupré's challenge to essentialist and unificationist views (...) about natural kinds is not successful. One conclusion is that an integrative conception of species is a real alternative to Dupré's pluralism. (shrink)

The theory of explanatory unification was first proposed by Friedman (1974) and developed by Kitcher (1981, 1989). The primary motivation for this theory, it seems to me, is the argument that this account of explanation is the only account that correctly describes the genesis of scientific understanding. Despite the apparent plausibility of Friedman's argument to this effect, however, I argue here that the unificationist thesis of understanding is false. The theory of explanatory unification as articulated by Friedman and Kitcher thus (...) emerges as fundamentally misconceived. (shrink)

Let us begin with the simple observation that applied mathematics can be very tough! It is a common occurrence that basic physical principle instructs us to construct some syntactically simple set of differential equations, but it then proves almost impossible to extract salient information from them. As Charles Peirce once remarked, you can’t get a set of such equations to divulge their secrets by simply tilting at them like Don Quixote. As a consequence, applied mathematicians are often forced to pursue (...) roundabout and shakily rationalized expedients if any useful progress is to be made. Often these provisional and quasi-empirical procedures within applied mathematics loom large in motivating the “anti-realist” or “anti-unificationist” conclusions of Nancy Cartwright and allied authors. (shrink)

ABSTRACTLadyman and Ross’s account of the metaphysical component of ontic structural realism was associated with a unificationist view of the connection between fundamental physics and special sciences. The aim of the present article is to assess the sense of unification that is at issue in Ladyman and Ross’s definition of metaphysics. Given the ontic core of Ladyman and Ross’s version of structural realism, it should be assumed that the unifying endeavour is worthwhile only if the connective links that underpin unification (...) are metaphysically significant. Ladyman and Ross employed information-theoretic notions, e.g. ‘projectibility’, to account for the significance of real patterns, which underpin unification. I build upon McAllister’s engagements with the same topic, to argue that these notions fail to accomplish this objective. (shrink)

In this paper I examine Don Ross’s application of unificationism as a methodological criterion of theory appraisal in economics and cognitive science. Against Ross’s critique that explanations of the preference reversal phenomenon by the ‘heuristics and biases’ programme is ad hoc or ‘Ptolemaic’, I argue that the compatibility hypothesis, one of the explanations offerd by this programme, is theoretically and empirically well-motivated. A careful examination of this hypothesis suggests several strengths of a procedural approach to modelling cognitive processes underlying (...) individual decision making, compared to a multiple-agent approach which Ross promotes. I argue that the debate between economists and psychologists are both theoretical and empirical, but cannot be resolved by appealing to the ideal of unification. (shrink)

Interdisciplinary research within the field of sustainability studies often faces incompatible ontological assumptions deriving from natural and social sciences. The importance of this fact is often underrated and sometimes leads to the wrong strategies. We distinguish between two broad approaches in interdisciplinarity: unificationism and pluralism. Unificationism seeks unification and perceives disciplinary boundaries as conventional, representing no long-term obstacle to progress, whereas pluralism emphasizes more ephemeral and transient interdisciplinary connections and underscores the autonomy of the disciplines with respect to (...) one another. Both approaches have their merits and pitfalls. Unification runs the risk of scientific imperialism, while pluralism can result in insurmountable barriers between disciplines. We made a comparison of eight distinct interdisciplinary attempts at integration of knowledge across social and natural sciences. The comparison was carried out as four pairwise comparisons: environmental economics versus ecological economics, environmental history versus historical ecology, resilience theory versus political ecology, and socio-biology versus actor-network theory. We conclude by showing that none of these prominent eight interdisciplinary fields in and of itself manages to provide, in a satisfactory way, such an integrated understanding of sustainability. We argue for pluralism and advocate complex ways of articulating divergent ontological assumptions. This is not equivalent to pursuing knowledge unification either through scientific imperialism or by catering to the requirements of narrow practical utility. It means prioritizing interdisciplinary integration by simultaneously acknowledging the role of societal and natural factors in accounting for sustainability issues. (shrink)

Interdisciplinary research within the field of sustainability studies often faces incompatible ontological assumptions deriving from natural and social sciences. The importance of this fact is often underrated and sometimes leads to the wrong strategies. We distinguish between two broad approaches in interdisciplinarity: unificationism and pluralism. Unificationism seeks unification and perceives disciplinary boundaries as conventional, representing no long-term obstacle to progress, whereas pluralism emphasizes more ephemeral and transient interdisciplinary connections and underscores the autonomy of the disciplines with respect to (...) one another. Both approaches have their merits and pitfalls. Unification runs the risk of scientific imperialism, while pluralism can result in insurmountable barriers between disciplines. We made a comparison of eight distinct interdisciplinary attempts at integration of knowledge across social and natural sciences. The comparison was carried out as four pairwise comparisons: environmental economics versus ecological economics, environmental history versus historical ecology, resilience theory versus political ecology, and socio-biology versus actor-network theory. We conclude by showing that none of these prominent eight interdisciplinary fields in and of itself manages to provide, in a satisfactory way, such an integrated understanding of sustainability. We argue for pluralism and advocate complex ways of articulating divergent ontological assumptions. This is not equivalent to pursuing knowledge unification either through scientific imperialism or by catering to the requirements of narrow practical utility. It means prioritizing interdisciplinary integration by simultaneously acknowledging the role of societal and natural factors in accounting for sustainability issues. (shrink)

This paper represents a response to the criticisms made by Eric Barnes in “Explanatory Unification and the Problem of Asymmetry” and “Explanatory Unification and Scientific Understanding” against the thesis of Explanatory Unification. This paper responds to Barnes‟ two main criticisms, that of derivational skepticism and causal asymmetry, and successfully refutes his objections. This paper also defends the plausibility of the unificationist account of scientific explanation because of its ability to render coherent the notion of scientific understanding, focusing in particular on (...) the work by Michael Friedman and Philip Kitcher. (shrink)