Empirical investigation of the conditions under which people prefer, or disprefer, causal explanation, has suggested to many that our judgements about what causally explains what are context sensitive in a number of ways. This has led many to suppose that whether or not a causal explanation obtains depends on various contextual factors, and that said explanations can obtain in one context, and not in another: they are both subjective and agent-relative. Surprisingly, most accounts of metaphysical explanation suppose (...) there to be no psychological, epistemic, or more broadly contextual, aspect to metaphysical explanation. Recently this approach has come under fire from those who argue that since metaphysical explanations are explanations, we should expect them to be both subjective and agent-relative. To date, however, there is no evidence about the conditions under which we make judgements about what metaphysically explains what. In what follows we remedy this. We find that judgements about what metaphysically explains what are indeed context sensitive. We then reflect on the implications of this discovery for extant accounts of metaphysical explanation. (shrink)

The notion of causal explanation is an essential element of the naturalistic world view. This view is typically interpreted to claim that we are only licensed to postulate entities that make a causal difference , or have causal power . The rest are epiphenomena and hence eliminable from the correct view of reality. The worry that some entities and phenomena that we take for granted mental properties in particular turn out to be epiphenomenal, can be seen as (...) stemming from this sort of naturalistic attitude. This thesis reviews the issue of causal explanation within the context of the naturalistic philosophy of mind. It is argued that there is no single monolithic, unanimously accepted notion of causation that the naturalist should be committed to. Views vary on what this notion amounts to exactly, and fields of science vary with respect to their causal commitments. However, the naturalist can still presume that a scientifically informed philosophical account of causation exists, an account that is fundamentally philosophical, but also sensitive to actual scientific practice and its view of reality. The central issue of the current naturalistic philosophy of mind is the so-called problem of causal exclusion. According to this, the assumption that mental states could have genuine and autonomous effects on the physical world is inconsistent with physical commitments, namely the idea that mental states are necessarily neurally based and the idea that the physical world is causally complete. The causal exclusion argument claims that mental causes must be reduced to physical causes, as there remains no role for independent mental causes. The thesis reviews some central responses to the causal exclusion argument. It is shown that within the context of the interventionist notion of causation, inter-level causation can be ruled out. The causal exclusion argument would thus find support, contrary to what the proponents of the interventionist view typically claim. However, the result is also shown to have the corollary that purely higher-level, mental-to-mental causation is possible. The thesis suggests that this offers a consistent view of mental causation for a naturalist to hold. (shrink)

Are causal explanations (e.g., “she switched careers because of the COVID pandemic”) treated differently from the corresponding claims that one factor caused another (e.g., “the COVID pandemic caused her to switch careers”)? We examined whether explanatory and causal claims diverge in their responsiveness to two different types of information: covariation strength and mechanism information. We report five experiments with 1,730 participants total, showing that compared to judgments of causal strength, explanatory judgments tend to bemoresensitive to mechanism (...) andlesssensitive to covariation – even though explanatory judgments respond to both types of information. We also report exploratory comparisons to judgments of understanding, and discuss implications of our findings for theories of explanation, understanding, and causal attribution. These findings shed light on the potentially unique role of explanation in cognition. (shrink)

Let’s consider the following paradox (Fodor [1989], Jackson and Petit [1988] [1992], Drestke [1988], Block [1991], Lepore and Loewer [1987], Lewis [1986], Segal and Sober [1991]): i) The intentional content of a thought (or any other intentional state) is causally relevant to its behavioural (and other) effects. ii) Intentional content is nothing but the meaning of internal representations. But, iii) Internal processors are only sensitive to the syntactic structures of internal representations, not their meanings. Therefore it seems that if we (...) want to defend the idea -absolutely plausible from an intuitive point of view- that mental / intentional states are causally responsible for behavioural outputs and we want to do it on the physicalist basis of any scientific methodology, we will have to give up the conviction that such intentional states qua intentional, i. e. as having a particular meaning, are the ones causally responsible for our behaviour. The path that takes us to mental epiphenomenalism is clear: 1) the causal powers of any event are completely determined by its physical properties; 2) although intentional properties supervene on physical properties, they can’t be identified with them; 3) intentional properties, as intentional, are not causally responsible for behaviour, because they don’t take part in the causal powers of the states to which they belong, i. e., intentional properties are epiphenomenal. Let’s consider now a different yet parallel position to the one just described. There is an important debate in cognitive science about whether the class of mechanisms to which we belong and which the computational modelling project of cognitive processes refers to is best represented by classical or connectionist approaches (McClelland, Rumelhart et. al [1986], Smolensky [1987] [1988], Fodor and Pylyshyn [1988], Pinker and Prince [1988], Clark [1989], Ramsey, Stich and Rumelhart [1991], Clark and Karmiloff-Smith [forthcoming]).In classical, serial processing models, information is encoded in terms of rules that have a linguistic character. In connectionist or parallel distributed processing (PDP) models, the causal relationships among the units that constitute the system determine how the information is processes by the network, although these units don’t have a direct semantic interpretation. But, for both, classical and connectionist models, all the computations can be explained without any reference to the content of the processed information, i.e., in both cases the properties that seem to be responsible for the system’s behaviour are ultimately physical properties nor intentional ones. This situation mirrors thus, within cognitive science, the philosophical discussion concerning the causal efficacy of semantic properties. Now, if in this debate we opt for the classical paradigm, there is a way of finding a solution to the computational version of the epiphenomenalism paradox. This solution is based mainly on the notion of supervenience or, more precisely, on the notion of mereological supervenience (Kim [1984] [1988])1 . The idea of intentional properties supervening on physical properties makes sense within the classical context because there exists an easily isolable supervenience base comprising the syntactic items in the socalled language of thought. But, what happens if we opt for the connectionist paradigm?. The situation here doesn’t seem to favour the use of the same supervenience strategy. For it has been argued (Ramsey, Stich and Garon [1991]) that beliefs, desires, and other mental states are nor, in the connectionist paradigm, individuable as weight or activation states of the system. This is because information is encoded by the network in distributed and superpositional representations, i.e., there are no straightforwardly isolable vehicles at the physical level that can be identified as the articulated supervenience base on which the semantic properties supervene2 . If this is true, then the connectionist not only loses the battle against epiphenomenalism but more drastically, seems to offer a standing invitation to eliminativism, since talk of beliefs and desires, etc. now seems to be floating free of any acceptable scientific underpinning, i.e., she has lost the necessary theoretical apparatus for supporting the intuitive idea that propositional attitudes -beliefs, desires and any mental states with semantic content- are physically realized. This second line of argumentation doesn’t take us to a paradox but to a dilemma: either we accept eliminativism, if connectionist hypothesis are correct or we defend the causal efficacy of mental states with semantic content by showing that, after all, connectionist networks are not plausible cognitive models (Davies [1991]). From my point of view, however, both lines of argumentation need to be revised. The aim of this paper is to find an account of the causal efficacy of content that avoids the aforementioned epiphenomenalist objections and that doesn’t require the discovery of inner symbols in the computational modelling of such contentful mental states. In short, the aim is to find a meeting point where a philosophical story about content and cause and the connectionist computational model can be brought together (Cfr. Clark [1989]). (shrink)

This chapter contains sections titled: A Triggering Causal Explanation A Structuring Causal Explanation Further reading.

My dissertation asks how we affect conversational context and how it affects us when we participate in any conversation—including philosophical conversations. Chapter 1 argues that speakers make pragmatic presuppositions when they use proper names. I appeal to these presuppositions in giving a treatment of Frege’s puzzle that is consistent with the claim that coreferential proper names have the same semantic value. I outline an explanation of the way presupposition carrying expressions in general behave in belief ascriptions, and suggest that substitutivity (...) failure is a special case of this behavior. Chapter 2 develops a compositional probabilistic semantics for the language of subjective uncertainty, including epistemic adjectives scoped under quantifiers. I argue that we should distinguish sharply between the effects that epistemically hedged statements have on conversational context, and the effects that they have on belief states. I also suggest that epistemically hedged statements are a kind of doxastic advice, and explain how this hypothesis illuminates some otherwise puzzling phenomena. Chapter 3 argues that ordinary causal talk is deeply sensitive to conversational context. The principle that I formulate to characterize that context sensitivity explains at least some of the oddness of ‘systematic causal overdetermination,’ and explains why some putative overgenerated causes are never felicitously counted, in conversation, as causes. But the principle also makes metaphysical theorizing about causation rather indirectly constrained by ordinary language judgments. (shrink)

Singular causal explanations cite explicitly, or may be paraphrased to cite explicitly, a particular factor as the cause of another particular factor. During recent years there has emerged a consensus account of the nature of an important feature of such explanations, the distinction between a factor regarded correctly in a given context of inquiry as ‘the cause’ of a given result and those other causally relevant factors, sometimes called ‘mere conditions’, which are not regarded correctly in that (...) context of inquiry as the cause of that result. In this paper that consensus account is characterized and developed. The developed version is then used to illuminate some recent discussions of singular causal explanations. (shrink)

The target article criticises reductionist programs in cognitive science for failing to take into account important explanatory features of the organism's physical embodiment and task environment. My aim in this commentary is to show how such features are increasingly being taken seriously by (some) researchers in cognitive neuroscience, who describe the functional activity of neural structures in terms that are context-sensitive rather than intrinsic. This approach can allow us to take seriously the concerns presented in Gallagher’s [2019] target article without (...) having to completely give up on neuroscientific explanations of human behaviour. (shrink)

Ugar and Malele write that generic machine learning (ML) technologies for mental health diagnosis would be challenging to implement in sub-Saharan Africa due to cultural specificities in how those conditions are diagnosed. For example, they say that in South Africa, the appearance of ‘schizophrenia’ might be understood as a type of spiritual possession, rather than a mental disorder caused by a brain dysfunction. Hence, a generic ML system is likely to ‘misdiagnose’ persons whose symptomatology matches that of schizophrenia in the (...) South African context. The authors thus claim that ‘a generic or universal design cannot be effective given the heterogeneity of value judgements in defining what mental health disorders are in different contexts’.1 Should we take this to mean that ML systems ‘should not be designed with a generalised perception of mental disorders,’1 as the authors suggest? On the contrary, my view is that generic ML can be useful, with the caveat that issues of cultural sensitivity may engender translational challenges in various national and cultural contexts. Yet, if it can be demonstrated that a generic ML system can reliably and accurately pick up on shared symptomatologies across cultures despite what any individual or community might believe about their actual causes, this aspect is surely the function and value of diagnostic ML which we should take to matter. Cultural gaps in aetiological understandings of mental health conditions make it all the more important to advance generic ML as a calibrating diagnostic tool. In this commentary, therefore, I will endeavour to make a case for generic ML in mental healthcare. ### Aetiological (mis)understanding across cultures The fundamental complexity to which Ugar and Malele direct our attention is the fact that mental health conditions are attributed to variable causal explanations, rather than a …. (shrink)

Theories of explanation seek to tell us what distinctively explanatory information is. The most ambitious ones, such as the DN-account, seek to tell us what an explanation is, tout court. Less ambitious ones, such as causal theories, restrict themselves to a particular domain of inquiry. The least ambitious theories constitute outright skepticism, holding that there is no reasonably unified phenomenon to give an account of. On these views, it is impossible to give any theories of explanation at all. I (...) argue that both the less ambitious and outright skeptical varieties are committed to a certain context-sensitivity of our explanatory discourse. And though this discourse is almost certainly context-sensitive in some respects, it does not exhibit the context-sensitivity less than fully ambitious theories are committed to. Therefore, all accounts that seek to restrict themselves in scope, including causal accounts of explanation, fail. (shrink)

Arguments for context-sensitivity are often based on judgments about the truth values of sentences: a sentence seems true in one context and false in another, so it is argued that the truth conditions of the sentence shift between these contexts. Such arguments rely on the assumption that our judgments reflect the actual truth values of sentences in context. Here, I present a non-semantic explanation of these judgments. In short, our judgments about the truth values of sentences are driven by heuristics (...) that are only fallible reflections of actual truth values. These heuristics can lead to different truth-value judgments in different contexts, even when the sentence at issue is not semantically context-sensitive. As a case study, I consider Sterken’s (Philos. Imprint, 15, 2015a) argument for the context-sensitivity of generic generalisations. I provide a non-semantic explanation of Sterken’s truth-value judgments, which builds on Leslie’s (Philos Perspect 21(1):375–403, 2007; Philos Rev 117(1):1–47, 2008) theory of default generalisation. (shrink)

Dolf Rami contributes to contemporary debates about the meaning and reference of proper names by providing an overview of the main challenges and developing a new contextualist account of names. Questions about the use and semantic features of proper names are at the centre of philosophy of language. How does a single proper name refer to the same thing in different contexts of use? What makes a thing a bearer of a proper name? What is their meaning? Guided by these (...) questions, Rami discusses Saul Kripke's main contributions to the debate and introduces two new ways to capture the rigidity of names, proposing a pluralist version of the causal chain picture. Covering popular contextualist accounts of names, both indexical and variabilist, he presents a use-sensitive alternative based on a semantic comparison between names, pronouns and demonstratives. Extending and applying his approach to a wide variety of uses, including names in fiction, this is a comprehensive explanation of why we should interpret proper names as use-sensitive expressions. (shrink)

Explanations are very important to us in many contexts: in science, mathematics, philosophy, and also in everyday and juridical contexts. But what is an explanation? In the philosophical study of explanation, there is long-standing, influential tradition that links explanation intimately to causation: we often explain by providing accurate information about the causes of the phenomenon to be explained. Such causal accounts have been the received view of the nature of explanation, particularly in philosophy of science, since the 1980s. (...) However, philosophers have recently begun to break with this causal tradition by shifting their focus to kinds of explanation that do not turn on causal information. The increasing recognition of the importance of such non-causal explanations in the sciences and elsewhere raises pressing questions for philosophers of explanation. What is the nature of non-causal explanations – and which theory best captures it? How do non-causal explanations relate to causal ones? How are non-causal explanations in the sciences related to those in mathematics and metaphysics? This volume of new essays explores answers to these and other questions at the heart of contemporary philosophy of explanation. The essays address these questions from a variety of perspectives, including general accounts of non-causal and causal explanations, as well as a wide range of detailed case studies of non-causal explanations from the sciences, mathematics and metaphysics. (shrink)

This work addresses biological explanations and aims to provide a philosophical account which brings together logical-procedural and historical-processual aspects when considering molecular pathways. It is argued that, having molecular features as explananda, a particular non-classical logical language – Zsyntax – can be used to formally represent, in terms of logical theorems, types of molecular processes, and to grasp how we get from one molecular interaction to another, hence explaining why a given outcome occurs. Expressing types of molecular biology processes (...) in terms of the Zsyntax language allows us to represent causal interactions by taking into account their context-sensitivity, and amounts to partly reviving the spirit of the so-called received view of explanation – which aimed to capture scientific explanatory accounts in terms of their logical structure and their appealing to nomological relations. Such a partial revival is pursued by invoking here non-classical deductions and empirical generalisations, which are called to provide the epistemic norms to explain the behavior of molecular pathways. (shrink)

Explainable artificial intelligence (XAI) is an emerging, multidisciplinary field of research that seeks to develop methods and tools for making AI systems more explainable or interpretable. XAI researchers increasingly recognise explainability as a context-, audience- and purpose-sensitive phenomenon, rather than a single well-defined property that can be directly measured and optimised. However, since there is currently no overarching definition of explainability, this poses a risk of miscommunication between the many different researchers within this multidisciplinary space. This is the problem we (...) seek to address in this paper. We outline a framework, called Explanatory Pragmatism, which we argue has two attractive features. First, it allows us to conceptualise explainability in explicitly context-, audience- and purpose-relative terms, while retaining a unified underlying definition of explainability. Second, it makes visible any normative disagreements that may underpin conflicting claims about explainability regarding the purposes for which explanations are sought. Third, it allows us to distinguish several dimensions of AI explainability. We illustrate this framework by applying it to a case study involving a machine learning model for predicting whether patients suffering disorders of consciousness were likely to recover consciousness. (shrink)

In the recent literature on causal and non-causal scientific explanations, there is an intuitive assumption according to which an explanation is non-causal by virtue of being abstract. In this context, to be ‘abstract’ means that the explanans in question leaves out many or almost all causal microphysical details of the target system. After motivating this assumption, we argue that the abstractness assumption, in placing the abstract and the causal character of an explanation in tension, (...) is misguided in ways that are independent of which view of causation or causal explanation one takes to be most accurate. On major accounts of causation, as well as on major accounts of causal explanation, the abstractness of an explanation is not sufficient for it being non-causal. That is, explanations are not non-causal by dint of being abstract. (shrink)

The classic formulation of causal decision theory (CDT) appeals to counterfactuals. It says that you should aim to choose an option that would have a good outcome, were you to choose it. However, this version of CDT faces trouble if the laws of nature are deterministic. After all, the standard theory of counterfactuals says that, if the laws are deterministic, then if anything—including the choice you make—were different in the present, either the laws would be violated or the distant (...) past would be changed. And as several authors have shown, it's easy to transform this upshot of the standard theory of counterfactuals into full-blown counterexamples to CDT. In response to these counterexamples, I argue here that the problem lies, not so much with CDT's guiding idea—that it's the expected causal consequences of your actions that matter for rational decision-making—but with the fact that the classic formulation of CDT doesn't pay sufficient attention to the context-sensitivity of counterfactuals. I develop a contextualist version of CDT which better accounts for this context-sensitivity. And I show that my theory avoids the problems faced by the classic formulation of CDT in determinstic worlds. (shrink)

It is observed that in ordinary everyday causal explanations often just one causal factor is mentioned. One causal factor carries the explanatory burden, even if there are several causal factors that are responsible for the event to be explained. This paper deals with the question of how to account for this explanatory selection. I argue for a pragmatic stance towards explanation, that we must attend to the question–answer situation as a whole and the context of (...) the explanation. The context of an explanation includes the inquirer's and the explainer's beliefs and presuppositions relevant for the explanation-seeking question, and these are encoded in a reference class. Furthermore I argue that the explanation-giving answer contains an implicit counterfactual claim, the explanation-giving counterfactual. The solution to the problem of explanatory selection is to be found in the presuppositions encoded by the reference class and the eg-counterfactual. In short we select as explanatory that factor which, together with the presupposition encoded in the reference class we believe will make the eg-counterfactual true. (shrink)

We develop an account of laboratory models, which have been central to the group selection controversy. We compare arguments for group selection in nature with Darwin's arguments for natural selection to argue that laboratory models provide important grounds for causal claims about selection. Biologists get information about causes and cause-effect relationships in the laboratory because of the special role their own causal agency plays there. They can also get information about patterns of effects and antecedent conditions in nature. (...) But to argue that some cause is actually responsible in nature, they require an inference from knowledge of causes in the laboratory context and of effects in the natural context. This process, cause detection, forms the core of an analogical argument for group selection. We discuss the differing roles of mathematical and laboratory models in constructing selective explanations at the group level and apply our discussion to the units of selection controversy to distinguish between the related problems of cause determination and evaluation of evidence. Because laboratory models are at the intersection of the two problems, their study is crucial for framing a coherent theory of explanation for evolutionary biology. (shrink)

This paper explores three important interrelated themes in Putnam’s philosophy: language, meaning, and the context-sensitivity of “truth-evaluable content.” It shows how Putnam’s own version of semantic externalism is able to steer a middle course between an internalism about meaning that requires a “language of thought” (or “mentalese”) and a mind-independent realism about meaning that requires Platonic objects (or other such “abstract entities”), while doing justice to how ascriptions of meaning are causally related to the objective world. The following account is (...) able to allow for the primacy of language over thought while ensuring that the content of thought is partially fixed by the external world. The emphasis in Putnam’s later writings on the “context sensitivity” of meaning are often construed as marking a major departure from his earlier thought. It is here argued that such an interpretation involves a misunderstanding both of the commitments of Putnam’s original form of semantic externalism and of the implications of the version of context sensitivity he embraces. (shrink)

We report three experiments investigating whether people’s judgments about causal relationships are sensitive to the robustness or stability of such relationships across a range of background circumstances. In Experiment 1, we demonstrate that people are more willing to endorse causal and explanatory claims based on stable (as opposed to unstable) relationships, even when the overall causal strength of the relationship is held constant. In Experiment 2, we show that this effect is not driven by a causal (...) generalization’s actual scope of application. In Experiment 3, we offer evidence that stable causal relationships may be seen as better guides to action. Collectively, these experiments document a previously underappreciated factor that shapes people’s causal reasoning: the stability of the causal relationship. (shrink)

The paper considers three questions. First, what is the connection between economics and agency? It is argued that causation and explanation in economics fundamentally depend on agency. So a philosophical understanding of economic explanation must be sensitive to an understanding of agency. Second, what is the connection between agency and causation? A causal view of agency-involving explanation is defended against a number of arguments from the resurgent noncausalist tradition in the literature on agency and action-explanation. If agency is fundamental (...) to economic explanation, it is argued, then so is causation. Third, what is the connection between causal explanation and the natural sciences? It is argued that, though the explanations given in economics and other social sciences are causal explanations, they are different in kind from the causal explanations of the natural sciences. On the one hand, then, the causal explanations of the social sciences are irreducible to those found in the natural sciences. On the other hand, the causal relations described by the social sciences are not completely autonomous; they do not float free of, or operate independently from, the causal relations charted by the natural sciences. (shrink)

Causal claims are context sensitive. According to the old orthodoxy (Mackie 1974, Lewis 1986, inter alia), the context sensitivity of causal claims is all due to conversational pragmatics. According to the new contextualists (Hitchcock 1996, Woodward 2003, Maslen 2004, Menzies 2004, Schaffer 2005, and Hall ms), at least some of the context sensitivity of causal claims is semantic in nature. I want to discuss the prospects for causal contextualism, by asking why causal claims are context (...) sensitive, what they are sensitive to, and where they are sensitive to it. (shrink)

This article provides a critical realist take on comparative methodology. Heeding the call for greater attention to the ontological presuppositions inherent in all methods, it first outlines comparative methods as they have traditionally been conceived and practised. Discerning two important aspects of these approaches - their notion of causality and their reliance on inductive inferences - the discussion moves on to consider their applicability within a critical realist social science. Arguing that the ontological presuppositions of traditional approaches to comparative methodology (...) are not compatible with the ontology of critical realism, it seeks to specify some initial steps in the direction of designing a new approach securing this compatibility. Important to this new approach is theoretical, or abductive, comparison and the need to be context-sensitive. (shrink)

In this dissertation I address three philosophical problems in the philosophy of biology united by the underlying, and interlocking, issues of the explanatory role of teleological, normative, and representational concepts in biology. In the first chapter, I argue that extant accounts of functions have foundered on a problem I dub the Dysfunction Dilemma, and I offer a way to move forward. Functions are of philosophical interest because the concept plays an important explanatory role in biology, and other sciences, but is (...) apparently teleological and normative –an item’s function is its end, purpose, or goal, and a dysfunctional item is one that fails to realize a particular norm, performance of its proper function. Extant accounts of function do not successfully capture both its explanatory import and its normative and teleological character, either painting dysfunction as conceptually incoherent or painting functions as epiphenomenal. I diagnose the source of the dilemma and offer an account of functional explanation which avoids it. In the second chapter, I defend the idea that genes, like words or concepts, have intentionality or representational/semantic content. First, I argue that while the standard motivation for this idea is mechanistic analogies between molecular mechanisms and digital computation, Ernst Mayr, one of the architects of the modern synthesis in biology, has provided an alternative and more defensible justification for taking the idea seriously. Parallel to the standard case for representational and computational theories of cognition, Mayr’s justification rests on the need to invoke representations to explain end-directed processes. I then put Mayr’s argument to work answering three kinds of objection to the idea that genes are representational: 1) Genetic representations are causally or explanatorily inert, 2) Genetic processes are too complex and context sensitive to be captured by representational concepts, and 3) Details of molecular biology undermine representational conceptions of genes. In the final chapter, I develop a historical and philosophical interpretation of Ernst Mayr’s distinction between proximate and ultimate causes and its relation to Niko Tinbergen’s "four questions." Both frameworks have been influential in the biological study of behavior and are typically presented as a single framework, with Mayr’s proximate-ultimate distinction corresponding to one of two axes dividing Tinbergen’s four questions. I argue that this interpretation misrepresents Mayr’s and Tinbergen’s philosophical positions. I offer a positive account of both frameworks and their relation to one another, and I argue that contrary to many critics, Mayr’s proximate-ultimate distinction, when properly interpreted, does not present a barrier to the project of integrating biological work on Tinbergen’s four questions. (shrink)

What, if anything, does singular causal language teach us about causation? I start with some observations about causal language and then explore some lessons about causation. This note has two major parts. First, I rehearse and reinforce some arguments that purport to show that the context-sensitivity of causal language is semantic. Second, I discuss how this could inform the metaphysics of causation, ultimately arguing that it leads to a novel form of causal pluralism. The main claim (...) is conditional: if the context- sensitivity of causal language is semantic, there are more concepts of causation than we previously thought. I conclude with some speculations regarding where this leaves the classic metaphysical debate about the nature of causation. (shrink)

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

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)

This paper is a partial review of the literature on ‘social preferences'. There are empirical findings that convincingly demonstrate the existence of social preferences, but there are also studies that indicate their fragility. So how robust are social preferences, and how exactly are they context dependent? One of the most promising insights from the literature, in my view, is an equilibrium explanation of mutually referring conditional social preferences and expectations. I use this concept of equilibrium, summarized by means of a (...) figure, to discuss a range of empirical studies. Where appropriate, I also briefly discuss a couple of insights from the (mostly parallel) evolutionary literature about cooperation. A concrete case of the Orma in Kenya will be used as a motivating example in the beginning. (shrink)

Machine learning is used more and more in scientific contexts, from the recent breakthroughs with AlphaFold2 in protein fold prediction to the use of ML in parametrization for large climate/astronomy models. Yet it is unclear whether we can obtain scientific explanations from such models. I argue that when machine learning is used to conduct causal inference we can give a new positive answer to this question. However, these ML models are purpose-built models and there are technical results showing (...) that standard machine learning models cannot be used for the same type of causal inference. Instead, there is a pathway to causal explanations from predictive ML models through new explainability techniques; specifically, new methods to extract structural equation models from such ML models. The extracted models are likely to suffer from issues though: they will often fail to account for confounders and colliders, as well as deliver simply incorrect causal graphs due to ML models tendency to violate physical laws such as the conservation of energy. In this case, extracted graphs are a starting point for new explanations, but predictive accuracy is no guarantee for good explanations. (shrink)

After a concise description of issues concerning the causal and the deductive-nomological models of explanation, the flaws in the alternative view centred on relevance-to-context are examined. The paper argues for the need of a wider spectrum of options which takes into account both the Local/Global and the Internal/External aspects in order to determine the sense and the adequacy of any explanation. As a test for this argument, some specific problems are considered about the range of causal bonds, the (...) admission of top-down causation, the appeal to emergence, the shift from explanation to explainability, the equivalence classes referred to as “cause” and “effect”. Finally, the paper deals with the comparison between inequivalent explanations and lists three remaining issues to complete the picture. (shrink)

There is an essential tension in Hume's account of explanation in the moral sciences. He holds the familiar (though problematic) view that explanations of action are causal explanations backed by the laws of human nature. But he also tenders a rational and historical model of explanation which has been neglected in Hume studies. Developed primarily in the Essays and put into practice in the History of England, this model holds that explanations in the moral sciences cite (...) agents? reasons for acting in definite historical situations. Such explanations are context?dependent, social (not psychological) in content, essentially post hoc, and provide insufficient grounds for prediction. The tension between Hume's two models is considerable, not to say inconsistent. We would best understand him as trying to reconcile the two. Each provides different and equally important kinds of intelligibility. Until this is appreciated, the one?sided interpretation of Hume as a psychological reductionist and a covering?law theorist will continue. (shrink)

The existence of causal explanations in science has been an issue of interest in Western philosophy from its very beginnings. That is the reason this work, following an idea of Mario Bunge, makes a historical review of this matter. The modern treatment of this subject takes place since the postulation by Popper and Hempel of the D-N model of scientific explanation, whose viability is scrutinized here from different points of view in the current philosophy of science. The main (...) object of this paper is to present two arguments against the possibility of causal explanations in theoretical physics. The first one concerns the existence, in certain cases, of inter-theoretical incompatibilities, and the second refers to the need to resort, in other cases, to concatenations of laws of different theories and disciplines. The final conclusion will be the defence of a form of theoretical explanation, which follows the Popper-Hempel model, but devoid of any ontological and metaphysical connotations. (shrink)

Supplements the statistical‐relevance model of scientific explanation with causal components. Some S‐R relationships can be explained by reference to spatiotemporally continuous causal connections. In this context, it is crucial to distinguish genuine causal processes – those with the ability to transmit marks – from pseudoprocesses. Other S‐R relationships are explained terms of common causes. It introduces causal processes and the common cause principle, and it presents the strategy for incorporating causal considerations into the theory of (...) scientific explanation, while making it seem natural to appeal to unobserved or unobservable entities. (shrink)

SummaryThe traditional account of micro‐reductive explanations, in terms of bridge‐law derivations and attribute‐identities, is subjected to critical analysis. Formal expositions of this approach especially those of R. L. Causey, are shown to have oversimplified certain relations between micro‐parts and wholes, and between identities and explanations, and to have neglected a key difference between homogeneous and heterogeneous micro‐explanatory contexts. An alternative treatment of part‐explanation adequacy is outlined and illustrated.

Causal compatibilism claims that even though physics is causally closed, and even though mental properties are multiply realizable and are not identical to physical causal properties, mental properties are causal properties nonetheless. This position asserts that there is genuine causation at multiple descriptive/ontological levels; physics-level causal claims are not really incompatible with mentalistic causal claims. I articulate and defend a version of causal compatibilism that incorporates three key contentions. First, causation crucially involves robust patterns (...) of counterfactual dependence among properties.Second, often several distinct such patterns, all subsuming a single phenomenon, exist at different descriptive/ontological levels (e.g., microphysical, neurobiological, macrobiological, and psychological). Third, the concept of causation is governed by an implicit contextual parameter that normally determines a specific descriptive/ontological level as the contextually relevant level, for the context-sensitive semantic evaluation of causal statements. (shrink)

Jon Elster worries about the explanatory power of the social sciences. His main concern is that they have so few well-established laws. Elster develops an interesting substitute: a special kind of mechanism designed to fill the explanatory gap between laws and mere description. However, his mechanisms suffer from a characteristic problem that I will explore in this article. As our causal knowledge of a specific problem grows we might come to know too much to make use of an Elsterian (...) mechanism but still lack a law. We might then find ourselves in the paradoxical position of knowing more relevant causal truths about the phenomenon we are interested in than we did before, but being able to explain less. If this possibility is realized in social science settings, as I argue it might well be, Elster?s mechanistic account is threatened. Moreover, even if the possibility is rarely realized in that way, it raises, simply as a possibility, a conceptual problem with Elster?s mechanistic framework. (shrink)

Notice that this paper has not claimed that all natural languages are CFL's. What it has shown is that every published argument purporting to demonstrate the non-context-freeness of some natural language is invalid, either formally or empirically or both.18 Whether non-context-free characteristics can be found in the stringset of some natural language remains an open question, just as it was a quarter century ago.Whether the question is ultimately answered in the negative or the affirmative, there will be interesting further questions (...) to ask. If it turns out that natural languages are indeed always CFL's, it will be reasonable to ask whether this helps to explain why speakers apparently recognize so quickly whether a presented utterance corresponds to a grammatical sentence or not, and to associate structural and semantic details with it. It might also be reasonable to speculate about the explanation for the universally context-free character of the languages used by humans, and to wonder whether evolutionary biological factors are implicated in some way (Sampson (1979) could be read in this light). And naturally, it will be reasonable to pursue the program put forward by Gazdar (1981, in press) to see to what extent CFL-inducing grammatical devices can be exploited to yield insightful descriptions of natural languages that capture generalizations in revealing ways.If a human language that is not a CFL is proved to exist, on the other hand, a different question will be raised: give the non-context-free character of human languages in general, why has this property been so hard to demonstrate that it has taken over twenty-five years to bring it to light since the issue was first explicitly posed? If human languages do not have to be CFL's, why do so many (most?) of them come so close to having the property of context-freeness? And, since the CFL's certainly constitute a very broad class of mathematically natural and computationally tractable languages, what property of human beings or their communicative or cognitive needs is it that has caused some linguistic communities to reach beyond the boundaries of this class in the course of evolving a linguistic system?Either way, we shall be interested to see our initial question resolved, and further questions raised. One cautionary word should be said, however, about the implications (or lack of them) that the answer will have for grammatical studies. Chomsky has repeatedly stated that he does not see weak generative capacity as a theme of central importance in the theory of grammar, and we agree. It is very far from being the case that the recent resurgence of interest in exploring the potential of CF-PSG or equivalent systems will, or should, be halted dead in its tracks by the discovery (if it is ever forthcoming) that some natural language is not a CFL. In the area of parsing, for instance, it seems possible that natural languages are not only parsed on the basis of constituent structure such as a CF-PSG would assign, but are parsed as if they were finite state languages (see Langendoen (1975) and Church (1980) for discussion along these lines). That is, precisely those construction-types that figure in the various proofs that English is not an FSL appear to cause massive difficulty in the human processing system; the sentences crucial to the proofs are for the most part unprocessable unless they are extremely short (yet the arguments for English not being and FSL only go through if length is not an issue). This means that in practice properties of finite state grammars are still of great potential importance to linguistic theory despite the fact that they do not provide the framework for defining the total class of grammatical sentences. The same would almost certannly be true of CF-PSG's if they were shown to be inadequate in a similar sense. It is highly unlikely that the advances made so far in far in phrase structure description could be nullified by a discovery about weak generative capacity. Moreover, there are known to be numerous ways in which the power of CF-PSG's can be marginally enhanced to permit, for example, xx languages to be generated without allowing anything like the full class of recursively enumerable or even context-sensitive languages (see Hopcroft and Ullmann (1979), Chapter 14) for an introduction to this topic, noting especially Figure 14.7 on p. 393. The obvious thing to do if natural languages were ever shown not to be CFL's in the general case would be to start exploring such minimal enhancements of expressive power to determine exactly what natural languages call for in this regard and how it could be effectively but parsimoniously provided in a way that closely modelled human linguistic capacities.In the meantime, it seems reasonable to assume that the natural languages are a proper subset of the infinite-cardinality CFL's until such time as they are validly shown not to be. (shrink)

Both philosophers and psychologists have argued for the existence of distinct kinds of explanations, including teleological explanations that cite functions or goals, and mechanistic explanations that cite causal mechanisms. Theories of causation, in contrast, have generally been unitary, with dominant theories focusing either on counterfactual dependence or on physical connections. This paper argues that both approaches to causation are psychologically real, with different modes of explanation promoting judgments more or less consistent with each approach. Two sets (...) of experiments isolate the contributions of counterfactual dependence and physical connections in causal ascriptions involving events with people, artifacts, or biological traits, and manipulate whether the events are construed teleologically or mechanistically. The findings suggest that when events are construed teleologically, causal ascriptions are sensitive to counterfactual dependence and relatively insensitive to the presence of physical connections, but when events are construed mechanistically, causal ascriptions are sensitive to both counterfactual dependence and physical connections. The conclusion introduces an account of causation, an "exportable dependence theory," that provides a way to understand the contributions of physical connections and teleology in terms of the functions of causal ascriptions. (shrink)

A new way of avoiding the causal exclusion argument in the context of manipulationism is proposed. In manipulationism, causal explanations are defined by counterfactual information accessed through manipulations. It is argued that the property of manipulability can be an emergent property of aggregate systems. Therefore, some causal explanations are non-reducible and causal exclusion is avoided. This emergentist notion of causal explanation addresses the question of how the special sciences can be based upon (...) class='Hi'>causal reasoning, even if fundamental physics is absent of causal relations. (shrink)

Causal selection has to do with a distinction between mere background conditions and the "true" causes of some outcome of interest. Mainstream philosophical views claim that causal selection is "groundless" in the sense that it lacks any type of principled rationale. I argue against this position in the context of biochemistry where causal factors are selected in explanations of metabolic processes. These factors are selected on the basis of a principled rationale, which is best understood in (...) terms of the causal control that they provide over an outcome of interest. (shrink)

I argue that manipulationist theories of causation fail as accounts of causal structure, and thereby as theories of “actual causation” and causal explanation. I focus on two kinds of problem cases, which I call “Perceived Abnormality Cases” and “Ontological Dependence Cases.” The cases illustrate that basic facts about social systems—that individuals are sensitive to perceived abnormal conditions and that certain actions metaphysically depend on institutional rules—pose a challenge for manipulationist theories and for counterfactual theories more generally. I then (...) show how law-based accounts of causal structure can answer such challenges. The moral of the story is that the basic manipulationist idea that our interest in causal structure is driven by our interest in manipulating our environment faces decisive problems in a central domain of application, the social sciences. (shrink)

This is an introduction to the volume "Explanation Beyond Causation: Philosophical Perspectives on Non-Causal Explanations", edited by A. Reutlinger and J. Saatsi (OUP, forthcoming in 2017). -/- Explanations are very important to us in many contexts: in science, mathematics, philosophy, and also in everyday and juridical contexts. But what is an explanation? In the philosophical study of explanation, there is long-standing, influential tradition that links explanation intimately to causation: we often explain by providing accurate information about the (...) causes of the phenomenon to be explained. Such causal accounts have been the received view of the nature of explanation, particularly in philosophy of science, since the 1980s. However, philosophers have recently begun to break with this causal tradition by shifting their focus to kinds of explanation that do not turn on causal information. The increasing recognition of the importance of such non-causal explanations in the sciences and elsewhere raises pressing questions for philosophers of explanation. What is the nature of non-causal explanations - and which theory best captures it? How do non-causal explanations relate to causal ones? How are non-causal explanations in the sciences related to those in mathematics and metaphysics? This volume of new essays explores answers to these and other questions at the heart of contemporary philosophy of explanation. The essays address these questions from a variety of perspectives, including general accounts of non-causal and causal explanations, as well as a wide range of detailed case studies of non-causal explanations from the sciences, mathematics and metaphysics. (shrink)

The notion of fitness is usually equated to reproductive success. However, this actualist approach presents some difficulties, mainly the explanatory circularity problem, which have lead philosophers of biology to offer alternative definitions in which fitness and reproductive success are distinguished. In this paper, we argue that none of these alternatives is satisfactory and, inspired by Mumford and Anjum’s dispositional theory of causation, we offer a definition of fitness as a causal dispositional property. We argue that, under this framework, the (...) distinctiveness that biologists usually attribute to fitness—namely, the fact that fitness is something different from both the physical traits of an organism and the number of offspring it leaves—can be explained, and the main problems associated with the concept of fitness can be solved. Firstly, we introduce Mumford and Anjum's dispositional theory of causation and present our definition of fitness as a causal disposition. We explain in detail each of the elements involved in our definition, namely: the relationship between fitness and the functional dispositions that compose it, the emergent character of fitness, and the context-sensitivity of fitness. Finally, we explain how fitness and realized fitness, as well as expected and realized fitness are distinguished in our approach to fitness as a causal disposition. (shrink)

Counterfactuals are context-sensitive. However, we argue that various debates and doctrines in metaphysics and the philosophy of science are premised on ignoring the full extent of counterfactual context-sensitivity. Our focus is on the prominent "miracle" versus "no-miracle" debate about counterfactuals under the assumption that our laws of nature are deterministic. But we also discuss doctrines that employ counterfactuals in theories of rational decision, as well as doctrines that explain what it is to be a law of nature in terms of (...) counterfactuals. We conclude by drawing some morals about the use of counterfactuals in philosophical theorizing more generally. (shrink)

Research indicates that norms matter for ordinary causal attributions. Across a range of cases in which two agents jointly bring about an outcome, with one violating a norm while the other does not, causal ratings are higher for the agent who violates the norm. Building off such findings, Kominsky et al. note a related phenomenon that they term “causal superseding”—whether or not one agent violates a norm also affects causal ratings for the other agent. Kominsky et (...) al. offer an explanation of this phenomenon and describe the results of four experiments testing their account. In this paper, I explore the proposed phenomenon further. I present a sequence of new studies covering a range of cases, finding that the superseding effect is not as consistent as Kominsky et al. would predict, that the effect does not occur in all of the cases where they say it should, and that it sometimes occurs in cases where they say it shouldn’t. Finally, I offer an alternative deflationary explanation of causal superseding, presenting evidence suggesting that it is simply a context effect. (shrink)

Traditional accounts of explanation fail to illuminate the explanatory relevance of “models that are descriptively false” in the sense that the regularities they entail fail to obtain. In this paper, I propose an account of explanation, which I call ‘explanation by concretization’, that serves to explicate the explanatory relevance of such models. Starting from a highly abstract and idealized model, causal explanations of the absence of regularities are sought by adding complexity to the model or by concretizing it. (...) Whether this process is successful depends on whether the abstractions and idealizations in the basic model succeed in isolating a mechanism, i.e. in representing how it operates when interfering factors are absent. This account is developed in the context of economics and contrasted to those of Daniel Hausman and Nancy Cartwright. I go on to provide an account of how unrealistic models can be used for providing understanding of the way mechanisms work. (shrink)

Even good lawyers get a bad rap. One explanation for this is that the professional rules governing lawyers permit and even require behavior that strikes many as immoral. The standard accounts of legal ethics that seek to defend these professional rules do little to dispel this air of immorality. The revisionary accounts of legal ethics that criticize the professional rules inject a hearty dose of morality, but at the cost of leaving lawyers unrecognizable as lawyers. This article suggests that the (...) problem with both the professional rules and the extant accounts of legal ethics is that they treat the role of lawyer as largely uniform, whereas lawyers actually serve several importantly different roles in different contexts. The central insight of the article is that legal ethics must be fundamentally context-sensitive: what lawyers are morally permitted or required to do depends on the background context in which they are working. Additionally, by taking context into account, this article is the first to present a theory of legal ethics as appropriately shaped and constrained by normative political philosophy and norms of political legitimacy. -/- Specifically, the article argues that people act as lawyers in three different contexts: State v. Individual (situations in which the State seeks to apply some general law to a particular individual), Individual v. Individual (situations in which private individuals are engaged in a dispute), and Individual v. State (situations in which individuals object to State conduct on constitutional or other grounds unrelated to the question of whether a general law applies to their particular case); that the value of lawyers, qua lawyers, stems from a different source in each of these contexts; and that a theory of legal ethics must take into account both of these first two claims. This article develops one such theory - the Multi-Context View. To demonstrate how the theory applies in practice, the article applies the Multi-Context View to two significant issues in legal ethics: the ethical issues involved in deciding whether to represent a client and the moral permissibility of the use of tactical delay. (shrink)

Not only has the philosophical debate on causation been gaining ground in the last few decades, but it has also increasingly addressed the sciences. The biomedical sciences are among the most prominent fields that have been considered, with a number of works tackling the understanding of the notion of cause, the assessment of genuinely causal relations and the use of causal knowledge in applied contexts. Far from denying the merits of the debate on causation and the major theories (...) it comprises, this paper is meant as a stimulus for theorists of causation in the philosophy of biomedicine, with a focus on clinical matters. Without aiming at putting forward an original theory of causation and starting from the narration of two actual but paradigmatic cases at the joints between biomedical research and clinical practice, we want to point out that some pathological situations addressed by molecular medicine actually prove resistant to some of our major epistemological accounts of causal explanation. Given this scenario, which is very frequent in our hospitals, our analysis aims to provide a stimulus for the debate among theorists of causation in biomedicine interested in real cases in science in practice. We believe that this might in turn encourage some more general rethinking of the complex intertwinement of science, philosophy of science and ethics, as well as of the role of philosophy of science for clinical medicine itself. (shrink)

Contributing to the recent debate on whether or not explanations ought to be differentiated from arguments, this article argues that the distinction matters to science education. I articulate the distinction in terms of explanations and arguments having to meet different standards of adequacy. Standards of explanatory adequacy are important because they correspond to what counts as a good explanation in a science classroom, whereas a focus on evidence-based argumentation can obscure such standards of what makes an explanation explanatory. (...) I provide further reasons for the relevance of not conflating explanations with arguments (and having standards of explanatory adequacy in view). First, what guides the adoption of the particular standards of explanatory adequacy that are relevant in a scientific case is the explanatory aim pursued in this context. Apart from explanatory aims being an important aspect of the nature of science, including explanatory aims in classroom instruction also promotes students seeing explanations as more than facts, and engages them in developing explanations as responses to interesting explanatory problems. Second, it is of relevance to science curricula that science aims at intervening in natural processes, not only for technological applications, but also as part of experimental discovery. Not any argument enables intervention in nature, as successful intervention specifically presupposes causal explanations. Students can fruitfully explore in the classroom how an explanatory account suggests different options for intervention. (shrink)