Pragmatic Theories of Explanation

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.

Van Fraassen explains rejections and asymmetries in science in terms of his contextual theory of explanation in the same way that scientists explain observable phenomena in the world in terms of scientific theories. I object that van Fraassen’s skeptical view regarding inference to the best explanation together with the English view of rationality jointly imply that the contextual theory is not rationally compelling, so van Fraassen and his epistemic colleagues can rationally disbelieve it. Prasetya replies that the truth of the (...) contextual theory coincides with its empirical adequacy, so the contextual theory is compelling. He also replies that the contextual theory is compelling, provided that van Fraassen’s argument for it instantiates a compelling subset of IBE. I argue that Prasetya’s replies either fail or help scientific realism. (shrink)

In this article, we discuss the issue of context-dependence of mechanism-based explanation in the social sciences. The different ways in which the context-dependence and context-independence of mechanism-based explanation have been understood in the social sciences are often motivated by different and apparently incompatible understandings of what explanatory mechanisms are. Instead, we suggest that the different varieties of context-dependence are best seen as corresponding to different research goals. Rather than conflicting with one another, these goals are complementary to each other and (...) therefore pave the way to a methodologically more cooperative approach to mechanism-based explanation in the social sciences. (shrink)

Seungbae Park argues that Bas van Fraassen’s rejection of inference to the best explanation (IBE) is problematic for his contextual theory of explanation because van Fraassen uses IBE to support the contextual theory. This paper provides a defense of van Fraassen’s views from Park’s objections. I point out three weaknesses of Park’s objection against van Fraassen. First, van Fraassen may be perfectly content to accept the implications that Park claims to follow from his views. Second, even if van Fraassen rejects (...) IBE he may still endorse particular arguments that instantiate IBE. Third, van Fraassen does not, in fact, use IBE to support his contextual theory. (shrink)

I draw upon speech act theory to understand the speech acts appropriate to the multiple aims of scientific practice and the role of nonepistemic values in evaluating speech acts made relative to those aims. First, I look at work that distinguishes explaining from describing within scientific practices. I then argue speech act theory provides a framework to make sense of how explaining, describing, and other acts have different felicity conditions. Finally, I argue that if explaining aims to convey understanding to (...) particular audiences rather than describe literally across all contexts, then evaluating explanatory acts directed to the public or policymakers involves asking nonepistemic questions. (shrink)

Van Fraassen (2007, 2017) consistently uses the English view of rationality to parry criticisms from scientific realists. I assume for the sake of argument that the English view of rationality is tenable, and then argue that it has disastrous implications for van Fraassen’s (1980) contextual theory of explanation, for the empiricist position that T is empirically adequate, and for scientific progress. If you invoke the English view of rationality to rationally disbelieve that your epistemic colleagues’ theories are true, they might, (...) in turn, invoke it to rationally disbelieve that your positive theories are true. (shrink)

This paper develops an account of metaphysical explanation according to which metaphysical explanations are answers to what-makes-it-the-case-that questions. On this view, metaphysical explanations are not to be considered entirely objective, but are subject to epistemic constraints imposed by the context in which a relevant question is asked. The resultant account of metaphysical explanation is developed independently of any particular views about grounding. Toward the end of the paper an application of the view is proposed that takes metaphysical explanations conceived in (...) this way to characterize reality's structure. According to this proposal, reality's structure is partly constituted by a projection of our explanatory practices onto reality. (shrink)

It is a widespread assumption in philosophy of science that data is what is explained by theory—that data itself is not explanatory. I draw on instances of representational and explanatory practice from mammalian chronobiology to suggest that this assumption is unsustainable. In many instances, biologists employ representations of data in explanatory ways that are not reducible to constraints on or evidence for representations of mechanisms. Data graphs are used to exemplify relationships between quantities in the mechanism, and often these representations (...) are necessary for explaining particular aspects of the phenomena under study. I argue that this kind of representation is distinct from representing laws or generalizations, and its primary purpose is to convey particular types or patterns of quantitative relationships. The benefit of the analysis is two-fold. First, it provides a more accurate account of explanatory practice in broadly mechanistic analysis in biology. Second, it suggests that there is not an explanatory “fundamental” type of representation in biology. Rather, the practice of explanation consists in the construction of different types of representations and their employment for distinct explanatory purposes. (shrink)

Scientific explanations must bear the proper relationship to the world: they must depict what, out in the world, is responsible for the explanandum. But explanations must also bear the proper relationship to their audience: they must be able to create human understanding. With few exceptions, philosophical accounts of explanation either ignore entirely the relationship between explanations and their audience or else demote this consideration to an ancillary role. In contrast, I argue that considering an explanation’s communicative role is crucial to (...) any satisfactory account of explanation. (shrink)

This paper investigates the working-method of three important philosophers of explanation: Carl Hempel, Philip Kitcher, and Wesley Salmon. We argue that they do three things: construct an explication in the sense of Carnap, which then is used as a tool to make descriptive and normative claims about the explanatory practice of scientists. We also show that they did well with respect to, but that they failed to give arguments for their descriptive and normative claims. We think it is the responsibility (...) of current philosophers of explanation to go on where Hempel, Kitcher, and Salmon failed. However, we should go on in a clever way. We call this clever way the “pragmatic approach to scientific explanation.‘ We clarify what this approach consists in and defend it. (shrink)

This article addresses an open problem in the area of cognitive systems and architectures: namely the problem of handling (in terms of processing and reasoning capabilities) complex knowledge structures that can be at least plausibly comparable, both in terms of size and of typology of the encoded information, to the knowledge that humans process daily for executing everyday activities. Handling a huge amount of knowledge, and selectively retrieve it according to the needs emerging in different situational scenarios, is an important (...) aspect of human intelligence. For this task, in fact, humans adopt a wide range of heuristics (Gigerenzer & Todd) due to their “bounded rationality” (Simon, 1957). In this perspective, one of the requirements that should be considered for the design, the realization and the evaluation of intelligent cognitively-inspired systems should be rep- resented by their ability of heuristically identify and retrieve, from the general knowledge stored in their artificial Long Term Memory (LTM), that one which is synthetically and contextually relevant. This requirement, however, is often neglected. Currently, artificial cognitive systems and architectures are not able, de facto, to deal with complex knowledge structures that can be even slightly comparable to the knowledge heuris- tically managed by humans. In this paper I will argue that this is not only a technological problem but also an epistemological one and I will briefly sketch a proposal for a possible solution. (shrink)

Book review of "The Nature of Scientific Thinking: on Interpretation, Explanation and Understanding" by J. Faye. The nature of scientific explanation is a central topic of interest to philosophers but the literature has metamorphosed from a coherent body of key papers and examples into narrow and specialized discussions in different scientific disciplines.

This article compares causal and constitutive explanation. While scientific inquiry usually addresses both causal and constitutive questions, making the distinction is crucial for a detailed understanding of scientific questions and their interrelations. These explanations have different kinds of explananda and they track different sorts of dependencies. Constitutive explanations do not address events or behaviors, but causal capacities. While there are some interesting relations between building and causal manipulation, causation and constitution are not to be confused. Constitution is a synchronous and (...) asymmetric relation between relata that cannot be conceived as independent existences. However, despite their metaphysical differences, the same key ideas about explanation largely apply to both. Causal and constitutive explanations face similar challenges (such as the problems of relevance and explanatory regress) and both are in the business of mapping networks of counterfactual dependence—i.e. mechanisms—although the relevant counterfactuals are of a different sort. In the final section the issue of developmental explanation is discussed. It is argued that developmental explanations deserve their own place in taxonomy of explanations, although ultimately developmental dependencies can be analyzed as combinations of causal and constitutive dependencies. Hence, causal and constitutive explanation are distinct, but not always completely separate forms of explanation. (shrink)

I consider some hitherto unexplored examples of teleological language in the sciences. In explicating these examples, I aim to show (a) that such language is not the sole preserve of the biological sciences, and (b) that not all such talk is reducible to the ascription of functions. In chemistry and biochemistry, scientists explaining molecular rearrangements and protein folding talk informally of molecules rearranging “in order to” maximize stability. Evolutionary biologists, meanwhile, often speak of traits evolving “in order to” optimize some (...) fitness-relevant variable. I argue that in all three contexts such locutions are best interpreted as shorthands for more detailed explanations which, were we to spell them out in full, would show that the relevant process would robustly converge towards the same end-point despite variation in initial conditions. This suggests that, in biology, such talk presupposes a substantial form of adaptationism. The upshot is that such shorthands may be more applicable in the physical sciences than the biological. (shrink)

Why-questions and how-possibly-questions are two common forms of explanation request. Answers to the former ones require factual assertions, but the latter ones can be answered by displaying a representation of the targeted phenomenon. However, in an extreme case, a representation could come accompanied by the assertion that it displays the only possible way a phenomenon could develop. Using several historical controversies concerning statistical modeling, it is argued that such cases must inevitably involve tacit or explicit empirical assumptions.

In this, the first book devoted to Peter Achinstein's influential work in philosophy of science, twenty distinguished philosophers, including four Lakatos award winners, address various aspects of Achinstein's influential views on the nature of scientific evidence, scientific explanation, and scientific realism. It includes short essays by Steve Gimbel and Jeff Maynes, Nancy Cartwright, Jordi Cat, Victor DiFate, Jerry Doppelt, Adam Goldstein, Philip Kitcher, Fred Kronz, Deborah Mayo, Greg Morgan, Helen Longino, John Norton, Michael Ruse, Bas van Fraassen, Stathis Psillos, Larry (...) Laudan, Richard Richards, Kent Staley, and Jim Woodward with replies to each contributor from Peter Achinstein. Readers will come away with an understanding of the current debate in multiple areas of philosophy of science and how various contemporary issues are connected. (shrink)

Interpretation in science has gained little attention in the past because philosophers of science believed that interpretation belongs to the context of discovery or must be associated with meaning. But scientists often speak about interpretation when they report their findings. Elsewhere I have argue in favour of a pragmatic-rhetorical theory of explanation, and it is in light of this theory that I suggest we can understand interpretation in the natural sciences.

Explanatory contrastivists hold that we often explain phenomena of the form p rather than q. In this paper, I present a new, social‐epistemological model of contrastive explanation—accountabilism. Specifically, my view is inspired by social‐scientific research that treats explanations fundamentally as accounts; that is, communicative actions that restore one's social status when charged with questionable behaviour. After developing this model, I show how accountabilism provides a more comprehensive model of contrastive explanation than the causal models of contrastive explanation that are currently (...) en vogue. (shrink)

This article analyzes the epistemic value of understanding and offers an account of the role of understanding in science. First, I discuss the objectivist view of the relation between explanation and understanding, defended by Carl Hempel and J. D. Trout. I challenge this view by arguing that pragmatic aspects of explanation are crucial for achieving the epistemic aims of science. Subsequently, I present an analysis of these pragmatic aspects in terms of ‘intelligibility’ and a contextual account of scientific understanding based (...) on this notion. †To contact the author, please write to: Faculty of Philosophy, VU University Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands; e‐mail: [email protected] (shrink)

In the present paper, we defend an inferential account both of explanation and scientific modelling. Our account is “comprehensive” in the sense that we assume a pragmatic perspective that tries to capture the intrinsic versatility scientific models and explanations may adopt in the course of scientific discourse. This inferential-pragmatic view is essentially inspired by the work of Robert Brandom in the philosophy of language (see Brandom 1994 and 2000), but takes elements from other authors, mainly from argumentation theory and epistemology. (...) As many philosophers of science that favour an inferential perspective, we see scientific models as inferential tools that help to extract inferences about the target in relation to specific goals. In this sense, models can be understood as consisting of sets of interconnected commitments and inferential norms allowing us to explaining and predicting phenomena in a relevant way (we develop this in de Donato and Zamora-Bonilla 2009). Likewise, explanation can be seen as a particular form of speech act understood according to a pragmatic-inferential view that allows to capturing the versatility of explanation. This is our main goal in the present paper. (shrink)

In this chapter I will employ a well-known scientific research heuristic that studies how something works by focusing on circumstances in which it does not work. Rather than trying to describe what scientific understanding would ideally look like, I will try to learn something about it by observing mundane cases where understanding is partly illusory. My main thesis is that scientists are prone to the illusion of depth of understanding (IDU), and as a consequence they sometimes overestimate the detail, coherence, (...) and depth of their understanding. I will analyze the notion of understanding and its relation to a sense of understanding. In order to make plausible the claim that these are often disconnected, I will describe an interesting series of psychological experiments by Frank Keil and his coauthors that suggests that ordinary people routinely overestimate the depth of their understanding. en I will argue that we should take seriously the possibility that scientific cognition is also aðected by IDU and spell out some possible causes of explanatory illusions in science. I will conclude this chapter by discussing how scientific explanatory practices could be improved and how the philosophy of science might be able to contribute to this process. (shrink)

This paper attempts to analyze in detail the difference between a pragmatic and non-pragmatic approach to explanation. Proponents of a pragmatic explanation analyze it by means of the concepts of context or audience. However, there could be various disguises of this type of approach. It is possible to include pragmatic concepts into the characterization of the item to be explained or the item that explains. On the other hand, pragmatic approach may focus on the specific relation between the item to (...) be explained or the item that explains and context or audience. Finally, the paper underlines that there is a distinction between a pragmatic approach to explanation and the pragmatics of explanation, which should not be ignored. (shrink)

In 1997, five decades after the publication of the landmark Hempel-Oppenheim article "Studies in the Logic of Explanation" Wesley Salmon published Causality and Explanation, a book that re-addresses the issue of scientific explanation. He provided an overview of the basic approaches to scientific explanation, stressed their weaknesses, and offered novel insights. However, he failed to mention Mary Hesse's approach to the topic and analyze her standpoint. This essay brings front and center Hesse's approach to scientific explanation formulated in the 1960s (...) and argues that rereading Hesse's account one can overcome the criticisms addressed towards another influential theory of explanation that of Bas van Fraassen's. Furthermore, it could bring the traditional philosophy of science into a fruitful conversation with science and technology studies and gender studies in science, technology and medicine. (shrink)

Critics of the erotetic model of explanation question its ability to discriminate significant from spurious explanations. One response to these criticisms has been to impose contextual restrictions on a case-by-case basis. In this article, the author argues that these approaches have overestimated the role of interests at the expense of other contextual aspects characteristic of social-scientific explanation. For this reason, he shows how procedures of measuring occupational status and social mobility affected different aspects of one explanation that Peter Blau and (...) Otis Dudley Duncan offered in their sociological classic, The American Occupational Structure. He uses the findings from this case study to meet objections to the erotetic model. Key Words: explanation • social science • erotetic • why-question • context. (shrink)

Take a look at these four situations: Figure 1 All of these situations have certain features in common: in all of them an explanation is asked for, in all of them an explanation is given, and all these explanations are literally false (although in different ways).

‘Scientific integrity’ certainly requires that data and references be beyond reproach. However, issues within the theory of scientific explanation suggest that there may be more to it than just this. While it is true that some contemporary, pragmatic analyses of explanation suffer from the ‘problem of relevance’, it does not seem to be true that the addition of formal, metaphysical constraints is necessary to solve this problem. I argue that, when viewed as requests for help with an epistemic problem, explanation (...) -seeking questions reveal the existence of a set of moral criteria centered in trust which, when satisfied, prevent trivial or irrelevant explanations from being offered, thereby broadening the concept of ‘scientific integrity’. (shrink)

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

I present an attempt at an explication of the ecological theory of interspecific competition, including its explanatory role in community ecology and evolutionary biology. The account given is based on the idea that law-like statements play an important role in scientific theories of this kind. I suggest that the principle of competitive exclusion is such a law, and that it is evolutionarily invariant. The principle's empirical status is defended and implications for the ongoing debates on the existence of biological laws (...) are discussed. (shrink)

In this book Martin Bunzl considers the prospects for a general and comprehensive account of explanation, given the variety of interests that prompt explanations in science. Bunzl argues that any successful account of explanation must deal with two very different contexts - one static and one dynamic. Traditionally, theories of explanation have been built for the former of these two contexts. That is to say, they are designed to show how it is that a 'finished' body of scientific knowledge can (...) be put to explanatory use. But finished sciences are few and far between. Real 'explanation' also occurs in a dynamical context in which questions are asked and answers are given as theories are in the process of being constructed. Here, Bunzl argues that attending to explanation produced under these dynamic circumstances undermines prominent features of the theory of explanation produced in the traditional static context. (shrink)

We sley Salmon, in his influential and detailed book, Four Decades of Scientific Explanation, argues that the pragmatic approach to scientific explanation, “construed as the claim that scientific explanation can be explicated entirely in pragmatic terms” (1989, 185) is inadequate. The specific inadequacy ascribed to a pragmatic account is that objective relevance relations cannot be incorporated into such an account. Salmon relies on the arguments given in Kitcher and Salmon (1987) to ground this objection. He also suggests that Peter Railton’s (...) concepts of the ideal explanatory text and explanatory information (Railton 1981) can provide what the pragmatic approach lacks. This suggestion is not a conclusion of course; we read it as the promotion of part of a research program aimed at forging a greater consensus on scientific explanation-an admirable goal. However, we do not see the pragmatic approach as inadequate. We will show that a synthetic account inspired by Salmon’s adaptation of Railton would be equivalent to van Fraassen’s pragmatic account in three respects: accepting or rejecting requests for explanation; the practice of giving scientific explanations; and the evaluation of the goodness of explanations. We include all three under the general rubric of explanatory “practice.” Admittedly these are not the only three features by which an account of explanation might be evaluated. Roughly, we mean to show that a synthetic account cannot do a better job of accounting for the scientific practices which are of importance to the constructive empiricist, and therefore no argument can be presented to the constructive empiricist to convince her that by her own standards the synthetic account is superior. (shrink)

My title question as it stands is ambiguous, and is in want of some initial clarification. Does the question ask how the explanandum is logically related to the explanans? Or does it ask about the details of the dynamics of the explanation speech-act? Or does it ask how the linguistic ambiguities of explanation questions and answers should properly be unpacked? Or does it ask yet some other question? The ways of studying explanation, like the ways of understanding the world, are (...) many and varied. By this, I mean more than that the phenomenon of explanation can be studied as it arises in the different disciplines of biology, physics, the social sciences, and the like. Rather, I mean that there are varied disciplines of explanation-study itself. For example, the Hempelian tradition has largely focused on the logic of explanation, and others have focused on the linguistic, psychological, social, and epistemological angles of explanation. Thus, it is not appropriate for me to begin by arguing that explanation is a set of logically related statements or a speech-act , but appropriate instead to begin by specifying the explanatory discipline within which I ask my title question. (shrink)

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

The new so-called pragmatic-epistemic approach to the methodology of explanation seems to dispense with the difference between traditional epistemic reasoning and genuine explanation. Causal explanations are excluded from the debate. Instead, the degree and value of subjective conviction seems to be the decisive factor for explanation. The paper criticizes this restrictive approach for methodological and terminological reasons without denying the importance of epistemic, pragmatic considerations. In addition, the respective traditional thesis on the logical-structural identity of prediction and explanation and the (...) new epistemic turn with respect to this thesis are criticized. The latter seems to lead to confrontations between every day and scientific explanations. The epistemic liberalisation of terminology and methodology certainly admits of new forms of systematization, e. g. potential prediction, but a general theory of systematization should not be too restrictive and should at the same time retain the classical distinction between epistemic and genuine lawful explanations. (shrink)

Theories of explanation are characterized as being either pragmatic or non-pragmatic, without a clear sense of what this is supposed to mean. The present paper offers a definition of a "pragmatic explanation-sentence", and in terms of this, of a "pragmatic theory of explanation". It is argued that van Fraassen's theory of explanation, despite claims to the contrary, is not genuinely pragmatic. By contrast, the author's own "illocutionary" theory is pragmatic. Attention is devoted particularly to sentences of the form "E is (...) a good explanation of q", which, it is urged, are pragmatic in a strong sense. In defense of this claim, and of the advantages of a pragmatic account generally, appeal is made to Rutherford's 1911 subatomic explanation of the results of his scattering experiments. Implications of a pragmatic theory are drawn for the debate between realists and anti-realists and absolutists and relativists. (shrink)

It is argued that it is not sufficient to consider only the sentences included in the explanans and explanandum when determining whether they constitute an explanation, but these sentences must always be evaluated relative to a knowledge situation. The central criterion on an explanation is that the explanans in a non-trivial way increases the belief value of the explanandum, where the belief value of a sentence is determined from the given knowledge situation. The outlined theory of explanations is applied to (...) some well-known examples and is also compared to other theories of explanation. (shrink)

This paper develops an explicit, pragmatic solution to the problem of deciding when an explanans which only approximately "covers" a desired event-explanandum E is acceptable as an adequate explanation. It shows in detail how comparisons made by the explanation's audience with the numerical value in E are what determine how closely E must be approximated for success. With the aid of several physics examples, it spells out the principles that govern these explanandum-comparisons, the conditions under which those principles hold, and (...) the audience traits that influence which comparisons they take seriously. (shrink)