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)

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.

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.

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)

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.

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)

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)

I argue that moral principles, construed as moral generalizations, can be genuinely explanatory. Specifically, I present and respond to a challenge according to which moral generalizations are explanatorily redundant. In response, I present and defend an explanatory dimension of moral generalizations that is based on the idea of unification. I do so in the context of motivating a realist-friendly moral explanatory pluralism (i.e., the view that there can be many, equally legitimate, explanations of moral facts). Finally, I (...) appeal to the same theoretical resources to tackle an objection from explanatory circularity. (shrink)

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)

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)

There are several important criticisms against the unificationist model of scientific explanation: Unification is a broad and heterogeneous notion and it is hard to see how a model of explanation based exclusively on unification can make a distinction between genuine explanatory unification from cases of ordering or classification. Unification alone cannot solve the asymmetry and irrelevance problems. Unification and explanation pull in different directions and should be decoupled, because for good scientific explanation extra ad explanandum information is often required. (...) I am presenting a possible solution to those problems, by focusing on an often overlooked but important element of how theoretic unification is achieved—the conceptual frameworks of theories. The core conceptual assumptions behind theories are decisive for discriminating between explanatory and non-explanatory unification. The conceptual framework is also flexible enough to balance the tension between informativeness and maximum systematization in constructing explanatory inferences. A short case study of orthogenetic and Darwinian explanations in paleontology is presented as an illustration of how my addition to the unificationist model is applicable to a historical debate between rival explanations. (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)

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)

The debate between the dynamical and the statistical interpretations of natural selection is centred on the question of whether all explanations that employ the concepts of natural selection and drift are reducible to causal explanations. The proponents of the statistical interpretation answer negatively, but insist on the fact that selection/drift arguments are explanatory. However, they remain unclear on where the explanatory power comes from. The proponents of the dynamical interpretation answer positively and try to reduce selection/drift arguments to (...) some of the most prominent accounts of causal explanation. In turn, they face the criticism raised by statisticalists that current accounts of causation have to be violated in some of their core conditions or otherwise used in a very loose manner in order to account for selection/drift explanations. We propose a reconciliation of both interpretations by conveying evolutionary explanations within the unificationist model of scientific explanation. Therefore, we argue that the explanatory power in natural selection arguments is a result of successful unification of individual- and population-level facts. A short case study based on research on sympatric speciation will be presented as an example of how population- and individual-level facts are unified to explain the morphological mosaic of bill shape in island scrub jays. (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)

Philosophical theories of explanation characterize the difference between correct and incorrect explanations. While remaining neutral as to which of these ‘first-order’ theories is right, this paper asks the ‘meta-explanatory’ question: is the difference between correct and incorrect explanation real, i.e., objective or mind-independent? After offering a framework for distinguishing realist from anti-realist views, I sketch three distinct paths to explanatory anti-realism.

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)

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)

This paper examines the nature of Hodgson and Knudsen’s version of Generalized Darwinism, asking to what extent it has explanatory force. The paper develops two criteria for potential explanatory transfer of theories between disciplines, and argues that Generalized Darwinism does not meet these. The paper proposes that Hodgson and Knudsen’s version of Generalized Darwinism is best understood as a research program aimed at modest unificationism sensu Kitcher, that provides a heuristic perspective to guide research, but does not (...) produce actual evolutionary explanations. (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)

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.

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 (...) class='Hi'>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)

This paper argues that there is no single universal conception of scientific explanation that is consistently employed throughout the whole domain of Higgs physics—ranging from the successful experimental search for a standard model Higgs particle and the hitherto unsuccessful searches for any particles beyond the standard model, to phenomenological model builders in the Higgs sector and theoretical physicists interested in how the core principles of quantum field theory apply to spontaneous symmetry breaking and the Higgs mechanism. Yet the coexistence of (...) deductive-statistical, unificationist, model-based, and statistical-relevance explanations does not amount to a fragmentation of the discipline, but allows elementary particle physicists to simultaneously pursue a plurality of research strategies and keep the field together by joint convictions about the SM and shared explanatory ideals. These convictions include that the SM both represents a successful explanation of the available particle data and contains aspects in need of further explanation. Especially in the domain of BSM physics, explanatory ideals typically appear as stories motivating the different models and linking them to the whole of the discipline. (shrink)

This article considers the opposition between the pluralist and unificationist stances in the philosophy of cognitive sciences. The choice between pluralism and unificationism is important both in terms of discussing the current methodological practices and with respect to the debates about the future of the cognitive studies. As a starting point, the author takes his own idea of theoretical complexes. One of its most significant normative consequences is theoretical pluralism. There have been a number of skeptical arguments against pluralism, (...) including the fear of generating many useless theories and dissipating of efforts, as well as the doubts about the differences between pluralism and relativism. One of the most recent objections states that integrative pluralism implies a tension, an instability, if one prioritizes the epistemic quality of explanatory depth. The author addresses each of these objections in turn. The constructive variety of pluralism is distinguished from unbridled pluralism and relativism by its commitment to the idea of improving explanatory, predictive, and other characteristics of a theory through the presence of alternatives and their collisions, mutual criticisms. Integrative pluralism does not entail instability, since the values of unification and explanatory depth cannot be prescribed to the cognitive sciences ex cathedra, without taking into account the character of the cognitive process revealed in empirical studies. The pluralist stance appears to be incompatible with radical projects of unification of the cognitive studies, though there are many opportunities for more moderate integrative initiatives. One such initiative is the recent idea of integrative experiment design, which involves constructing a space of experiments for a particular problem. Testing theories by selectively sampling points in this space and then updating them accordingly may be a key to the integration of experimental observations. (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)

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)

Many philosophers insist that moral facts or properties play no role in explaining (non-normative) natural phenomena. The problem of moral explanation has raised metaphysical, semantic and epistemic challenges to contemporary moral realism. In my dissertation, I attempt to vindicate the explanatory efficacy of moral properties, while at the same time respecting the autonomy and normativity of morality. In doing so, I will advocate a sort of non-reductive ethical naturalism, according to which moral properties are natural properties (in the sense (...) that they are open to empirical investigation), and yet remain irreducible to non-normative natural properties, such as psychological, biological, and sociological properties. More specifically, I develop a form of moral functionalism to vindicate moral explanation. Moral functionalism understands moral properties as second-order, functional properties, the natures of which are characterized in terms of functional roles. My version of moral functionalism has two particular features. First, it is a form of a posteriori moral functionalism. The moral theory used to characterize the functional roles of moral properties can only be discovered by appeal to empirical investigation (for this reason, my a posteriori version of moral functionalism is a sort of ethical naturalism). Second, it is a holistic version of moral functionalism. The functional role of a moral property cannot be identified solely in terms of non-normative properties; rather, it essentially involves a network of connections to both non-normative and normative properties (for this reason, my holistic version of moral functionalism is a sort of ethical anti-reductionism). It is important to note that the question of whether moral properties have explanatory power bears on the question of what explanation or explanatoriness is. In my dissertation, I attempt to show that my vindication of moral explanation presupposes a plausible account of explanation. Obviously I cannot discuss all theories of explanation; my dissertation will rather focus on two influential accounts of explanation: the causalist model and the unificationist model. Then I argue that moral properties understood as functional properties of the kind I have described can do causal-explanatory work and play a distinctive unifying role. (shrink)

Science has multiple goals: to describe the world, as it is now; to predict the future and to make inferences about the past. But science also aims to understand the world - to explain why it is the way it is. But what does it take to explain a phenomenon? What philosophical questions are at stake? In this thorough and clearly written introduction to scientific explanation, Arnon Levy explores the following problems and questions: the background to the topic of scientific (...) explanation, particularly the questions of what an explanation is, what makes a good explanation and why seek them in the first place empiricism about explanation: Hempel's Deductive-Nomological model and criticisms of Hempel's theory unificationism about explanation: are good scientific explanations those fit into an overall 'explanatory store'? causation and explanation: Salmon's 'statistical relevance' and 'mark transmission' arguments causation and explanation: Lewis's description-based model, Woodward's interventionist view and Strevens's criterion of selection theory connections between explanation and understanding non-scientific explanation: metaphysics. Additional features, such as chapter summaries, suggestions for further reading and a glossary make this an excellent resource for students of philosophy of science, metaphysics and philosophy of psychology. (shrink)

A "patternist" approach to explanation seeks to formalize unificationism using notions from algorithmic information theory. Among other advantages, this account provides both a rigorous sense of how data can admit multiple explanations, and a rigorous sense of how some of those explanations can conjoin, while others compete.

The optimality approach to modeling natural selection has been criticized by many biologists and philosophers of biology. For instance, Lewontin (1979) argues that the optimality approach is a shortcut that will be replaced by models incorporating genetic information, if and when such models become available. In contrast, I think that optimality models have a permanent role in evolutionary study. I base my argument for this claim on what I think it takes to best explain an event. In certain contexts, optimality (...) and game-theoretic models best explain some central types of evolutionary phenomena. ‡Thanks to Michael Friedman, Helen Longino, Michael Weisberg, and especially Elliott Sober for comments on earlier drafts of this paper. †To contact the author, please write to: Department of Philosophy, Stanford University, Stanford, CA 94305-2155; e-mail: [email protected]. (shrink)

It is widely accepted that physicalism faces its most serious challenge when it comes to making room for the phenomenal character of psychological experience, its so-called what-it-is-like aspect. The challenge has surfaced repeatedly over the past two decades in a variety of forms. In a particularly striking one, Frank Jackson considers a situation in which Mary, a brilliant scientist who knows all the physical facts there are to know about psychological experience, has spent the whole of her life in a (...) black and white room. He asks, What will happen when Mary is released from her black and white room or is given a colour television monitor? Will she learn anything or not? It seems just obvious that she will learn something about the world and our visual experience of it. But then it is inescapable that her previous knowledge was incomplete. But she had all the physical information. (Jackson 1986: 130). (shrink)

Treatise on the concept of relation in Nyaya school in Hindu philosophy.

Distance Interpreting (DI) is a form of technology-mediated interpreting which has gained traction due to the high demand for multilingual conferences, live-streaming programs, and public service sectors. The current study synthesized the DI literature to build a framework that represents the construct and measurement of cognitive load in DI. Two major areas of research were identified, i.e., causal factors and methods of measuring cognitive load. A number of causal factors that can induce change in cognitive load in DI were identified (...) and reviewed. These included factors derived from tasks (e.g., mode of presentation), environment (e.g., booth type), and interpreters (e.g., technology awareness). In addition, four methods for measuring cognitive load in DI were identified and surveyed: subjective methods, performance methods, analytical methods, and psycho-physiological methods. Together, the causal factors and measurement methods provide a multifarious approach to delineating and quantifying cognitive load in DI. This multidimensional framework can be applied as a tool for pedagogical design in interpreting programs at both the undergraduate and graduate levels. It can also provide implications for other fields of educational psychology and language learning and assessment. (shrink)

Ḥanafī scholars resorted to various methods such as abrogation (naskh), specification (takhṣīṣ), preference, (tarjīh) interpretation (taʾwīl) in order to eliminate the incompatibility between the views of the founding authorities of the madhab (ashāb) and the nass (verses and hadiths). According to the famous narration attributed to Abu’l-Hasan al-Karkhī (d. 340/952), one of the Iraqī Ḥanafī scholars, it is thought that the nass contradicting the views of the madhhab scholars are abrogated, or that other evidence is preferred over them, but it (...) is more appropriate to reconcile and interpret them. However, this approach adopted by the Hanafīs has brought some criticism and accusations that the views of the madhab scholars are prioritized over the nass or that these were ignored in the face of their views. On the other hand, the discourse that the views of the madhab scholars should be preferred in case of incompatibility between the views of theirs and the nass, seems problematic and in need of explanation at first glance. Due to the reason mentioned, these statements, which reveal the general attitude of Ḥanafīs, need to be explained theoretically. In this study, firstly, the Hanafīs’ justifications for adopting this approach are discussed, and then it is seen that this does not mean “the nass is ignored or the views of the jurists are prioritized” as it is claimed. (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)

In his introduction, Mr. Potts sketches the history of the work; by quoting extensively from the great critics he illustrates its influence and indicates the significance of Aristotle's formulations. The notes take up the hints, judgements and insights that Aristotle lets fall, show their deeper meaning and give them an application. They also explain to the reader the allusions that gave the original is topicality. There is a brief bibliography and a full index. -- Back cover.

Proponents of the extended evolutionary synthesis have argued that there are explanatory gaps in evolutionary biology that cannot be bridged by standard evolutionary theory. In this paper, we consider what sort of explanatory gaps they are referring to. We outline three possibilities: data-based gaps, implementation-based gaps, and framework-based gaps. We then examine the purported evolutionary gaps and attempt to classify them using this taxonomy. From there we reconsider the significance of the gaps and what they imply for the (...) proposed need for an extended evolutionary synthesis. (shrink)

I argue that examining the explanatory power of the hypothesis of extended cognition (HEC) offers a fruitful approach to the problem of cognitive system demarcation. Although in the discussions on HEC it has become common to refer to considerations of explanatory power as a means for assessing the plausibility of the extended cognition approach, to date no satisfying account of explanatory power has been presented in the literature. I suggest that the currently most prominent theory of explanation (...) in the special sciences, James Woodward’s contrastive-counterfactual theory, and an account of explanatory virtues building on that theory can be used to develop a systematic picture of cognitive system demarcation in the psychological sciences. A major difference between my differential influence (DI) account and most other theories of cognitive extension is the cognitive systems pluralism implied by my approach. By examining the explanatory power of competing traditions in psychological memory research, I conclude that internalist and externalist classificatory strategies are characterized by different profiles of explanatory virtues and should often be considered as complementary rather than competing approaches. This suggests a deflationary interpretation of HEC. (shrink)

When a train operator tells us that our train will be late ‘because of delays’, their attempt at explanation fails because there is insufficient distance between the explanans and the explanandum. In this paper, I motivate and defend an account of ‘explanatory distance’, based on the idea that explanations give information about dependence. I show that this account offers useful resources for addressing problem cases, including recent debates about grounding explanation, and the historical case of Molière’s dormitive virtue.

We argue that the causal theory of memory and the simulation theory of memory are not as straightforwardly incompatible as they are usually taken to be. Following a brief review of the theories, we describe alternative normative and descriptive perspectives on memory, arguing that the causal theory aligns better with the normative perspective and the simulation theory with the descriptive perspective. Taking explanatory contextualism about perception as our starting point, we then develop a form of explanatory contextualism about (...) memory, arguing that, depending on the context in which we find ourselves, either the normative perspective or the descriptive perspective may be appropriate. It follows that, while the causal theory and the simulation theory cannot both be right with respect to a given perspective, and while it is necessary to choose one perspective or the other in a given context, there an important sense in which we need not choose between causalism and simulationism. We conclude by differentiating our position from and critiquing a related position developed by Craver (2020) and defending our position against objections. (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)