People’s causal judgments are susceptible to the action effect, whereby they judge actions to be more causal than inactions. We offer a new explanation for this effect, the counterfactual explanation: people judge actions to be more causal than inactions because they are more inclined to consider the counterfactual alternatives to actions than to consider counterfactual alternatives to inactions. Experiment 1a conceptually replicates the original action effect for causal judgments. Experiment 1b confirms a novel prediction of the new (...) class='Hi'>explanation, the reverse action effect, in which people judge inactions to be more causal than actions in overdetermination cases. Experiment 2 directly compares the two effects in joint-causation and overdetermination scenarios and conceptually replicates them with new scenarios. Taken together, these studies provide support for the new counterfactual explanation for the action effect in causal judgment. (shrink)

Jamin Asay’s A Theory of Truthmaking is one of the most important books on truthmaking, full of important ideas from beginning to end. One of the most interesting parts of the book is Asay's attack on the explanation-first truthmaking. Explanation-first truthmaking is the explanatory project of explaining why truths are true. This is in contrast with ontology-first truthmaking, the project defended by Asay, and which is the project of answering the fundamental ontological question “What is there?”. Asay thinks (...) explanation-first truthmaking should be abandoned because it is problematic and it offers no benefits over those of ontology-first truthmaking. In this brief paper, I argue that he has not established the problematicity of explanation-first truthmaking, and that explanation-first truthmaking offers benefits over ontology-first truthmaking. (shrink)

Retroduction -- Contextualized self-interpretations -- Causal mechanisms -- Ontology -- Logics -- Articulation.

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

The idea that there are some facts that call for explanation serves as an unexamined premise in influential arguments for the inexistence of moral or mathematical facts and for the existence of a god and of other universes. This book is the first to offer a comprehensive and critical treatment of this idea. It argues that calling for explanation is a sometimes-misleading figure of speech rather than a fundamental property of facts.

This volume distinguishes between two main traditions in the philosophy of science - the aristotelian, with its stress on explanation in terms of purpose and intentionality, and the galilean, which takes causal explanation as primary. It then traces the complex history of these competing traditions as they are manifested in such movements as positivism, idealism, Marxism and contemporary linguistic analysis. Hempels's theory of scientific explanation, the claims of cybernetics the rise of an analytic philosophy of action and (...) the revival of hermenuetics are all discussed. The volume also deals with causal explanation, intentionality and teleological explanation, and explanation in history and the social sciences. The author concludes that explanation of human actions cannot be reduced to simple causality, and discusses the implications of this conclusion for the disciplines of history and sociology. (shrink)

Most authors on metaphysical grounding have taken full grounding to be an internal relation in the sense that it's necessary that if the grounds and the grounded both obtain, then the grounds ground the grounded. The negative part of this essay exploits empirical and provably nonparadoxical self-reference to prove conclusively that even immediate full grounding isn't an internal relation in this sense. The positive, second part of this essay uses the notion of a “completely satisfactory explanation” to shed light (...) on the logic of ground in the presence of self-reference. This allows us to develop a satisfactory logic of ground and recover a sense in which grounding is still an internal relation. (shrink)

This chapter examines the status of inference to the best explanation in naturalistic metaphysics. The methodology of inference to the best explanation in metaphysics is studied from the perspective of contemporary views on scientific explanation and explanatory inferences in the history and philosophy of science. This reveals serious shortcomings in prevalent attempts to vindicate metaphysical "explanationism" by reference to similarities between science and naturalistic metaphysics. This critique is brought out by considering a common gambit of methodological unity: (...) (1) Both metaphysics and science employ inference to the best explanation. (2) One has no reason to think that if explanationism is truth-conducive in science, it is not so in metaphysics. (3) One has a positive reason to think that if explanationism is truth-conducive in science, it is also so in metaphysics. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore (...) overlapping causal patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

This article examines three candidate cases of non-causal explanation in computational neuroscience. I argue that there are instances of efficient coding explanation that are strongly analogous to examples of non-causal explanation in physics and biology, as presented by Batterman, Woodward, and Lange. By integrating Lange’s and Woodward’s accounts, I offer a new way to elucidate the distinction between causal and non-causal explanation, and to address concerns about the explanatory sufficiency of non-mechanistic models in neuroscience. I also (...) use this framework to shed light on the dispute over the interpretation of dynamical models of the brain. _1_ Introduction _1.1_ Efficient coding explanation in computational neuroscience _1.2_ Defining non-causal explanation _2_ Case I: Hybrid Computation _3_ Case II: The Gabor Model Revisited _4_ Case III: A Dynamical Model of Prefrontal Cortex _4.1_ A new explanation of context-dependent computation _4.2_ Causal or non-causal? _5_ Causal and Non-causal: Does the Difference Matter? (shrink)

Despite several decades of criticism, dichotomous thinking about behavioral development remains widespread and influential. This is particularly true in study of birdsong development, where it has become increasingly common to diagnose songs, elements of songs, or precursors of songs as either innate or learned on the basis of isolation-rearing experiments. The theory of sensory templates has encouraged both the dichotomous approach and an emphasis on structural rather than functional aspects of song development. As a result, potentially important lines of investigation (...) have been overlooked and the interpretation of existing data is often flawed. Evidence for a genetic origin of behavioraldifferencesis frequently interpreted as evidence for the genetic determination of behavioralcharacters. The technique of isolation rearing remains the methodology of choice for many investigators, despite the fact that it offers only a rather crude analysis of the contribution of experience to song development and provides no information at all about genetic contributions to development. The latter could in principle be elucidated by the application of developmental-genetic techniques, but it is unlikely that these can easily be applied to the study of birdsong. Because developmental questions are so often posed in terms of the learned–innate dichotomy, “experience” is taken to be synonymous with “learning” and the possible role of nonobvious contributions to song development has largely been ignored. An alternative approach, based on Daniel Lehrman's interactionist theory of development, permits a more thorough appreciation of the problems that have yet to be addressed, and provides a more secure conceptual foundation for theories of song development. (shrink)

In this paper, I aim to provide access to the current debate on non-causal explanations in philosophy of science. I will first present examples of non-causal explanations in the sciences. Then, I will outline three alternative approaches to non-causal explanations – that is, causal reductionism, pluralism, and monism – and, corresponding to these three approaches, different strategies for distinguishing between causal and non-causal explanation. Finally, I will raise questions for future research on non-causal explanations.

I survey the philosophical literature on grounding explanation and its connection to metaphysical ground.

The ontic conception of scientific explanation has been constructed and motivated on the basis of a putative lexical ambiguity in the term explanation. I raise a puzzle for this ambiguity claim, and then give a deflationary solution under which all ontically-rendered talk of explanation is merely elliptical; what it is elliptical for is a view of scientific explanation that altogether avoids the ontic conception. This result has revisionary consequences for New Mechanists and other philosophers of science, (...) many of whom have assimilated their conception of explanation to the ontic conception. (shrink)

I argue that van Fraassen’s selectionist explanation for the success of science is superior to the realists’ explanation. Whereas realists argue that our current theories are successful because they accurately reflect the structure of the world, the selectionist claims that our current theories are successful because unsuccessful theories have been eliminated. I argue that, unlike the explanation proposed by the realist, the selectionist explanation can also account for the failures of once successful theories and the fact (...) that sometimes two competing theories are both equally successful. (shrink)

By contrasting three general conceptions of scientific explanation, this paper seeks to clarify the explanandum and to exhibit the fundamental philosophical issues involved in the project of explicating scientific explanation. The three conceptions--epistemic, modal, and ontic--have both historical and contemporary importance. In the context of Laplacian determinism, they do not seem importantly distinct, but in the context of irreducibly statistical explanations, the three are seen to diverge sharply. The paper argues for a causal/mechanical version of the ontic conception, (...) and concludes by exhibiting some striking consequences of this approach. (shrink)

In this article I argue that there are two different types of understanding: the understanding we get from explanations, and the understanding we get from unification. This claim is defended by first showing that explanation and unification are not as closely related as has sometimes been thought. A critical appraisal of recent proposals for understanding without explanation leads us to discuss the example of a purely classificatory biology: it turns out that such a science can give us understanding (...) of the world through unification of the phenomena, even though it does not give us any explanations. The two types of understanding identified in this paper, while strictly separate, do have in common that both consist in seeing how the individual phenomena of the universe hang together. Explanations give us connections between the phenomena through the asymmetric, ‘vertical’ relation of determination; unifications give us connections through the symmetric, ‘horizontal’ relation of kinship. We then arrive at a general definition of understanding as knowledge of connections between the phenomena, and indicate that there might be more than two types of understanding. (shrink)

People often answer why-questions with what we call experiential explanations: narratives or stories with temporal structure and concrete details. In contrast, on most theories of the epistemic function of explanation, explanations should be abstractive: structured by general relationships and lacking extraneous details. We suggest that abstractive and experiential explanations differ not only in level of abstraction, but also in structure, and that each form of explanation contributes to the epistemic goals of individual learners and of science. In particular, (...) experiential explanations support mental simulation and survive transitions across background theories; as a result, they support learning and help us translate between competing frameworks. Experiential explanations play an irreducible role in human cognition – and perhaps in science. (shrink)

Do we have free will and moral responsibility? Is free will compatible with determinism? Scott Sehon argues that we can make progress on these questions by focusing on an underlying issue: the nature of action explanation. When a person acts, or does something on purpose, we explain the behavior by citing the agent's reasons. The dominant view in philosophy of mind has been to construe such explanations as a species of causal explanation. Sehon proposes and defends a non-causal (...) account of action and agency, according to which reason explanation of human behavior is teleological rather than causal, before applying the teleological account of action to free will and responsibility. He argues that the non-causal compatibilist account works well in practice: it is in accord with our clear intuitions about cases, and it both explains and provides guidance in the cases where our intuitions are murkier. (shrink)

Van Fraassen and others have urged that judgements of explanations are relative to why-questions; explanations should be considered good in so far as they effectively answer why-questions. In this paper, I evaluate van Fraassen's theory with respect to mathematical explanation. I show that his theory cannot recognize any proofs as explanatory. I also present an example that contradicts the main thesis of the why-question approach—an explanation that appears explanatory despite its inability to answer the why-question that motivated it. (...) This example shows how explanatory judgements can be context-dependent without being why-question-relative. (shrink)

This paper pioneers the use of methods and findings from psycholinguistics in experimental philosophy’s ‘sources project’. On this basis, it clarifies the epistemological relevance of empirical findings about intuitions – a key methodological challenge to experimental philosophy. The sources project (aka ‘cognitive epistemology of intuitions’) seeks to develop psychological explanations of philosophically relevant intuitions, which help us assess their evidentiary value. One approach seeks explanations which trace relevant intuitions back to automatic cognitive processes that are generally reliable but predictably generate (...) cognitive illusions under specific vitiating circumstances. The paper develops and experimentally tests such an explanation for intuitions at the root of a historically influential paradox about perception (‘argument from illusion’). The explanation traces these intuitions to stereotype-driven amplification, an automatic process routinely involved in language comprehension (e.g., understanding philosophical case-descriptions). Distributional semantics analysis and a forced-choice plausibility ranking task are employed to establish the relevant verb-associated stereotypes. The paper argues that the inferences facilitated by these stereotypes are generally reliable, but shows that vitiating circumstances obtain in the formulation of the targeted paradox. On this basis, the paper explores two complementary strategies for assessing the evidentiary value of intuitive judgments. (shrink)

Inflationists have argued that truth is a causal-explanatory property on the grounds that true belief facilitates practical success: we must postulate truth to explain the practical success of certain actions performed by rational agents. Deflationists, however, have a seductive response. Rather than deny that true belief facilitates practical success, the deflationist maintains that the sole role for truth here is as a device for generalisation. In particular, each individual instance of practical success can be explained only by reference to a (...) relevant instance of a T-schema; the role of truth is just to generalise over these individualised explanations. I present a critical problem for this strategy. Analogues of the deflationist’s individualised explanations can be produced by way of explanation of coincidental instances of practical success where the agent merely has the right false beliefs. By deflationary lights, there is no substantive explanatory difference between such coincidental and non-coincidental instances of practical success. But the non-/coincidental distinction just is an explanatory distinction. The deflationist’s individualised explanations of non-coincidental instances of practical success must therefore be inadequate. However, I argue that the deflationist’s prospects for establishing an explanatory contrast between these cases by supplementing her individualised explanations are, at best, bleak. The inflationist, by contrast, is entitled to the obvious further explanatory premise needed to make sense of the distinction. As such, pending some future deflationary rejoinder, the deflationary construal of the principle that true belief facilitates practical success must be rejected; and with it the deflationary conception of truth. (shrink)

The thesis that natural selection explains the frequencies of traits in populations, but not why individual organisms have the traits tehy do, is here defended and elaborated. A general concept of ‘distributive explanation’ is discussed.

Collected papers on philosophy of linguistics, sociolinguistics and language planning, including papers on the languages of African immigrants, language policy and planning in post-apartheid South Africa.

I argued in Karl Marx's Theory of History that the central claims of historical materialism are functional explanations, and I said that functional explanations are consequence explanations, ones, that is, in which something is explained by its propensity to have a certain kind of effect. I also claimed that the theory of chance variation and natural selection sustains functional explanations, and hence consequence explanations, of organismic equipment. In Section I I defend the thesis that historical materialism offers functional or consequence (...) explanations, and I reject Jon Elster's contention that game theory can, and should, assume a central role in the Marxist theory of society. In Section II I contrast functional and consequence explanation, thereby revising the position of Karl Marx's Theory of History, and I question whether evolutionary biology supports functional explanations. Section III is a critique of Elster's views on functional explanation, and Sections IV and V defend consequence explanation against metaphysical and epistemological doubts. A concluding section summarizes my present understanding of the status of historical materialist explanations. (shrink)

Analysis of online mathematics forums can help reveal how explanation is used by mathematicians; we contend that this use of explanation may help to provide an informal conceptualization of simplicity. We extracted six conjectures from recent philosophical work on the occurrence and characteristics of explanation in mathematics. We then tested these conjectures against a corpus derived from online mathematical discussions. To this end, we employed two techniques, one based on indicator terms, the other on a random sample (...) of comments lacking such indicators. Our findings suggest that explanation is widespread in mathematical practice and that it occurs not only in proofs but also in other mathematical contexts. Our work also provides further evidence for the utility of empirical methods in addressing philosophical problems. (shrink)

In The Scientific Image B. C. van Fraassen argues that a theory of explanation ought to take the form of a theory of why-questions, and a theory of this form is what he provides. Van Fraassen's account of explanation is good, as far as it goes. In particular, van Fraassen's theory of why-questions adds considerable illumination to the problem of alternative explanations in psychodynamics. But van Fraassen's theory is incomplete because it ignores those classes of explanations that are (...) answers not to why-questions but to how-questions. In this article I provide a unified theory of explanatory questions that comprehends both how-questions and why-questions, and I show that a question-theoretic approach to explanation can be defended independently of van Fraassen's programme of Constructive Empiricism. (shrink)

Corporate social responsibility (CSR) has been recently conceptualized and studied as a political phenomenon. Most debates in this scholarship have thus far focused on normative issues. Less attention has been paid to the explanatory potential of CSR research grounded in political theory and philosophy. In this article, we conduct a pragmatist reading of political scholarship on CSR and seek to deploy existing knowledge for research pursuing political explanation. We argue that the political ontologies that underlie scholarship on CSR can (...) be used to transform normative and descriptive research also for explanatory uses. We show how ontologies vary in terms of potential research objects and scopes of political explanation, and argue that the main types of political-ontological stances adopted in scholarship on CSR, foundational and post-foundational stances, offer explanatory analysis of different schematic guidelines. Our pragmatist reading of previous research and an empirical case illustration of political explanation of change in corporate responsibility in the biofuel industry demonstrate the opportunities, limitations, and challenges different political-ontological commitments provide for political explanation. (shrink)

Previous research has suggested that an effective strategy for debiasing judgments is to have participants "consider the opposite." The present research proposes that considering any plausible alternative outcome for an event, not just the opposite outcome, leads participants to simulate multiple alternatives, resulting in debiased judgments. Three experiments tested this hypothesis using an explanation task paradigm. Participants in all studies were asked to explain either 1 hypothetical outcome (single explanation conditions) or 2 hypothetical outcomes (multiple explanation conditions) (...) to an event; after the explanation task, participants made likelihood judgments. The results of Studies 1 and 2 indicated that debiasing occurred in all multiple explanation conditions, including those that did not involve the opposite outcome. Furthermore, the findings indicated that debiased judgments resulted from participants' spontaneous consideration of additional alternatives in making their likelihood judgments. The results of Study 3 also identified the perceived plausibility of the explained alternative as an important moderating variable in debiasing. (shrink)