In The Biopsychosocial Model of Health and Disease, Derek Bolton and Grant Gillett argue that a defensible updated version of the biopsychosocial model requires a metaphysically adequate account of disease causation that can accommodate biological, psychological, and social factors. This present paper offers a philosophical critique of their account of biopsychosocial causation. I argue that their account relies on claims about the normativity and the semantic content of biological information that are metaphysically contentious. Moreover, I suggest that these claims (...) are unnecessary for a defence of biopsychosocial causation, as the roles of multiple and diverse factors in disease causation can be readily accommodated by a more widely accepted and less metaphysically contentious account of causation. I then raise the more general concern that they are misdiagnosing the problem with the traditional version of the biopsychosocial model. The challenge when developing an explanatorily valuable version of the biopsychosocial model, I argue, is not so much providing an adequate account of biopsychosocial causation, but providing an adequate account of causal selection. Finally, I consider how this problem may be solved to arrive at a more explanatorily valuable and clinically useful version of the biopsychosocial model. (shrink)

According to orthodox causal decision theory, performing an action can give you information about factors outside of your control, but you should not take this information into account when deciding what to do. Causal decision theorists caution against an irrational policy of 'managing the news'. But, by providing information about factors outside of your control, performing an act can give you two, importantly different, kinds of good news. It can tell you that the world in which (...) you find yourself is good in ways you can't control, and it can also tell you that the act itself is in a position to make the world better. While the first kind of news does not speak in favor of performing an act, I believe that the second kind of news does. I present a revision of causal decision theory which advises you to manage the news about the good you stand to promote, while ignoring news about the good the world has provided for you. (shrink)

Among the factors necessary for the occurrence of some event, which of these are selectively highlighted in its explanation and labeled as causes — and which are explanatorily omitted, or relegated to the status of background conditions? Following J. S. Mill, most have thought that only a pragmatic answer to this question was possible. In this paper I suggest we understand this ‘causal selection problem’ in causal-explanatory terms, and propose that explanatory trade-offs between abstraction and stability can (...) provide a principled solution to it. After sketching that solution, it is applied to a few biological examples, including to a debate concerning the ‘causal democracy’ of organismal development, with an anti-democratic (though not a gene-centric) moral. (shrink)

Causal selection is the task of picking out, from a field of known causally relevant factors, some factors as elements of an explanation. The Causal Parity Thesis in the philosophy of biology challenges the usual ways of making such selections among different causes operating in a developing organism. The main target of this thesis is usually gene centrism, the doctrine that genes play some special role in ontogeny, which is often described in terms of information-bearing or (...) programming. This paper is concerned with the attempt of confronting the challenge coming from the Causal Parity Thesis by offering principles of causal selection that are spelled out in terms of an explicit philosophical account of causation, namely an interventionist account. I show that two such accounts that have been developed, although they contain important insights about causation in biology, nonetheless fail to provide an adequate reply to the Causal Parity challenge: Ken Waters's account of actual-difference making and Jim Woodward's account of causal specificity. A combination of the two also doesn't do the trick, nor does Laura Franklin-Hall's account of explanation (in this volume). We need additional conceptual resources. I argue that the resources we need consist in a special class of counterfactual conditionals, namely counterfactuals the antecedents of which describe biologically normal interventions. (shrink)

The recent literature on causality has seen the introduction of several distinctions within causality, which are thought to be important for understanding the widespread scientific practice of focusing causal explanations on a subset of the factors that are causally relevant for a phenomenon. Concepts used to draw such distinctions include, among others, stability, specificity, proportionality, or actual-difference making. In this contribution, I propose a new distinction that picks out an explanatorily salient class of causes in biological systems. Some (...) select causes in complex biological systems, I argue, have the property of enabling coherent causal control of these systems. Examples of such control variables include hormones and other signaling molecules, e.g., TOR (target of rapamycin), morphogens or the products of homeotic selector genes in embryonic pattern formation. I propose an analysis of this notion based on concepts borrowed from causal graph theory. (shrink)

If the laws are deterministic, then standard theories of counterfactuals are forced to reject at least one of the following conditionals: 1) had you chosen differently, there would not have been a violation of the laws of nature; and 2) had you chosen differently, the initial conditions of the universe would not have been different. On the relevant readings—where we hold fixed factors causally independent of your choice—both of these conditionals appear true. And rejecting either one leads to trouble (...) for philosophical theories which rely upon counterfactual conditionals—like, for instance, causal decision theory. Here, I outline a semantics for counterfactual conditionals which allows us to accept both (1) and (2). And I discuss how this semantics deals with objections to causal decision theory from Arif Ahmed. (shrink)

Decision-making typically requires judgments about causal relations: we need to know the causal effects of our actions and the causal relevance of various environmental factors. We investigate how several individuals' causal judgments can be aggregated into collective causal judgments. First, we consider the aggregation of causal judgments via the aggregation of probabilistic judgments, and identify the limitations of this approach. We then explore the possibility of aggregating causal judgments independently of probabilistic ones. (...) Formally, we introduce the problem of causal-network aggregation. Finally, we revisit the aggregation of probabilistic judgments when this is constrained by prior aggregation of qualitative causal judgments. (shrink)

The causal impacts of genes and environment on any one biological trait are inextricably entangled, and consequently it is widely accepted that it makes no sense in singleton cases to privilege either factor for particular credit. On the other hand, at a population level it may well be the case that one of the factors is responsible for more variation than the other. Standard methodological practice in biology uses the statistical technique of analysis of variance to measure this (...) latter kind of causal efficacy. In this paper, I argue that: 1) analysis of variance is in fact badly suited to this role; and. (shrink)

The development of causal modelling since the 1950s has been accompanied by a number of controversies, the most striking of which concerns the Markov condition. Reichenbach's conjunctive forks did satisfy the Markov condition, while Salmon's interactive forks did not. Subsequently some experts in the field have argued that adequate causal models should always satisfy the Markov condition, while others have claimed that non-Markovian causal models are needed in some cases. This paper argues for the second position by (...) considering the multi-causal forks, which are widespread in contemporary medicine (Section 2). A non-Markovian causal model for such forks is introduced and shown to be mathematically tractable (Sections 6, 7, and 8). The paper also gives a general discussion of the controversy about the Markov condition (Section 1), and of the related controversy about probabilistic causality (Sections 3, 4, and 5). (shrink)

Indicative conditionals and tendency causal claims are closely related (e.g., Frosch and Byrne, 2012), but despite these connections, they are usually studied separately. A unifying framework could consist in their dependence on probabilistic factors such as high conditional probability and statistical relevance (e.g., Adams, 1975; Eells, 1991; Douven, 2008, 2015). This paper presents a comparative empirical study on differences between judgments on tendency causal claims and indicative conditionals, how these judgments are driven by probabilistic factors, and (...) how these factors differ in their predictive power for both causal and conditional claims. (shrink)

Patient-centered care (PCC) is an approach to healthcare that values patients’ preference, need, and autonomy. The estimation of healthcare partly depends on how well PCC is implemented. In addition, the result of clinical research can inform the assessment of the implementation of PCC. In clinical research, health-related quality of life (HRQL) theoretical models offer a conceptual toolbox that informs clinical research and guides the hypotheses generation. Wilson and Cleary (1995) developed the most widely used HRQL theoretical model (Bakas et al., (...) 2012). Ontological assumptions about causation in Wilson and Cleary’s model will influence which kind of hypotheses will be generated. I will argue that Wilson and Cleary’s model instilled a kind of causal bias into hypothesis generation in clinical research on HRQL. Causation from biomedical factors to non-biomedical factors is frequently hypothesized while causation from non-biomedical factors to biomedical factors is rarely hypothesized. It leads to that the interdependence and interaction between constituent parts of patients are ignored, which is an obstacle to the implementation of PCC. In addition, I will propose a revised HRQL theoretical model which avoids the causal bias brought by Wilson and Cleary’s model. By doing so, I leave room for the improvement of the practice of healthcare by analyzing the ontological assumptions about causation. (shrink)

People more frequently select norm-violating factors, relative to norm- conforming ones, as the cause of some outcome. Until recently, this abnormal-selection effect has been studied using retrospective vignette-based paradigms. We use a novel set of video stimuli to investigate this effect for prospective causal judgments—i.e., judgments about the cause of some future outcome. Four experiments show that people more frequently select norm- violating factors, relative to norm-conforming ones, as the cause of some future outcome. We show that (...) the abnormal-selection effects are not primarily explained by the perception of agency (Experiment 4). We discuss these results in relation to recent efforts to model causal judgment. (shrink)

This paper examines a recent, influential argument for individualism in psychology defended by Jerry Fodor and others, what I call the argument from causal powers. I argue that this argument equivocates on the crucial notion of "causal powers", and that this equivocation constitutes a deep problem for arguments of this type. Relational and individualistic taxonomies are incompatible, and it does not seem in general to be possible to factor the former into the latter. The distinction between powers and (...) properties plays a central role in my argument. (shrink)

The statistical technique of analysis of variance is often used by biologists as a measure of causal factors’ relative strength or importance. I argue that it is a tool ill suited to this purpose, on several grounds. I suggest a superior alternative, and outline some implications. I finish with a diagnosis of the source of error – an unwitting inheritance of bad philosophy that now requires the remedy of better philosophy.

Lange’s collection of expanded, mostly previously published essays, packed with numerous, beautiful examples of putatively non-causal explanations from biology, physics, and mathematics, challenges the increasingly ossified causal consensus about scientific explanation, and, in so doing, launches a new field of philosophic investigation. However, those who embraced causal monism about explanation have done so because appeal to causal factors sorts good from bad scientific explanations and because the explanatory force of good explanations seems to derive from (...) revealing the relevant causal (or ontic) structures. The taxonomic project of collecting examples and sorting their types is an essential starting place for a theory of non-causal explanation. But the title of Lange’s book requires something further: showing that the putative explanations are, in fact, explanatory and revealing the non-causal source of their explanatory power. This project is incomplete if there are examples of putative non-causal explanations that fit the form but that nobody would accept as explanatory (absent a radical revision of intuitions). Here we provide some reasons for thinking that there are such examples. (shrink)

Hume maintained that, philosophically speaking, there is no difference between exiting a room out of the first-floor window and using the door. Nevertheless, Hume’s reason and common sense prevailed over his scepticism and he advocated that we should always use the door. However, we are currently living in a world that is more seriously committed to the Humean philosophy of empiricism than he was himself and thus the potential to act inappropriately is an ever-present potential. In this paper, I explore (...) how Hume’s two versions of causality have detrimentally affected our ability both to arrive at and to use research to improve human well-being. I illustrate my argument with an example of what I think is an incorrect yet supposedly scientifically sound assumption: that absenteeism causes poor school attainment. Instead I make the interdisciplinary argument that absenteeism is better understood as an aggravating symptom of a number of other causes of poor attainment, such as poverty and individual psychological factors. I suggest that an instrumental, punitive policy against parents whose children tend to be absent from school may be ineffectual or even counterproductive if the objective is to improve the well-being of those children. To support my argument, I introduce the critical realist idea of transfactuality. Using the example of research into moon rocks, I show how mainstream science uses transfactuality despite its empiricist aversion to it. I also suggest that it is our honesty, integrity, and stoicism that lead us to the extreme overthrow of reason and common sense that we see today in many of the UK’s social policies; an overthrow that Hume himself did not achieve. Metaphorically speaking, British professionals, stoically and honestly believing in the ability of their trusted research correlations to guide their action, are exiting out of the first-floor window rather than using the door. This is a significant barrier to our ability to devise and implement social policy. (shrink)

In clinical medicine, a diagnosis can offer an explanation of a patient's symptoms by specifying the pathology that is causing them. Diagnoses in psychiatry are also sometimes presented in clinical texts as if they pick out pathological processes that cause sets of symptoms. However, current evidence suggests the possibility that many diagnostic categories in psychiatry are highly causally heterogeneous. For example, major depressive disorder may not be associated with a single type of underlying pathological process, but with a range of (...) different causal pathways, each involving complex interactions of various biological, psychological, and social factors. This paper explores the implications of causal heterogeneity for whether psychiatric diagnoses can be said to serve causal explanatory roles in clinical practice. I argue that while they may fall short of picking out a specific cause of the patient's symptoms, they can nonetheless supply different sorts of clinically relevant causal information. In particular, I suggest that some psychiatric diagnoses provide negative information that rules out certain causes, some provide approximate or disjunctive information about the range of possible causal processes, and some provide causal information about the relations between the symptoms themselves. (shrink)

Among the many causes of an event, how do we distinguish the important ones? Are there ways to distinguish among causes on principled grounds that integrate both practical aims and objective knowledge? Psychologist Tania Lombrozo has suggested that causal explanations “identify factors that are ‘exportable’ in the sense that they are likely to subserve future prediction and intervention” (Lombrozo 2010, 327). Hence portable causes are more important precisely because they provide objective information to prediction and intervention as practical (...) aims. However, I argue that this is only part of the epistemology of causal selection. Recent work on portable causes has implicitly assumed them to be portable within the same causal system at a later time. As a result, it has appeared that the objective content of causal selection includes only facts about the causal structure of that single system. In contrast, I present a case study from systems biology in which scientists are searching for causal factors that are portable across rather than within causal systems. By paying careful attention to how these biologists find portable causes, I show that the objective content of causal selection can extend beyond the immediate systems of interest. In particular, knowledge of the evolutionary history of gene networks is necessary for correctly identifying causal patterns in these networks that explain cellular behavior in a portable way. (shrink)

Relationalists about episodic memory must endorse a disjunctivist theory of memory-experience according to which cases of genuine memory and cases of total confabulation involve distinct kinds of mental event with different natures. This paper is concerned with a pair of arguments against this view, which are analogues of the ‘causal argument’ and the ‘screening off argument’ that have been pressed in recent literature against relationalist (and hence disjunctivist) theories of perception. The central claim to be advanced is that to (...) deal with these two arguments, memory disjunctivists both can and should draw on resources that are standardly appealed to by rival common factor theories of episodic memory, and, in particular, to the idea that genuine memories and merely apparent ones are to be distinguished, at least in part, in terms of the distinctive ways in which they are caused. On the proposed view, there are substantive causal constraints associated both with cases of genuine memory and with cases of mere confabulation. The resulting theory thus tells us something important about the nature both of genuine memories and of mere confabulations, namely, that such experiences must be caused in certain distinctive ways and cannot occur except as the result of a distinctive sort of causal process. In addition, the theory enables the disjunctivist to offer a unified response to an important pair of arguments against her view. (shrink)

Democratic decision-making is often defended on grounds of the ‘wisdom of crowds’: decisions are more likely to be correct if they are based on many independent opinions, so a typical argument in social epistemology. But what does it mean to have independent opinions? Opinions can be probabilistically dependent even if individuals form their opinion in causal isolation from each other. We distinguish four probabilistic notions of opinion independence. Which of them holds depends on how individuals are causally affected by (...) environmental factors such as commonly perceived evidence. In a general theorem, we identify causal conditions guaranteeing each kind of opinion independence. These results have implications for whether and how ‘wisdom of crowds’ arguments are possible, and how truth-conducive institutions can be designed. (shrink)

In this paper, I show how semantic factors constrain the understanding of the computational phenomena to be explained so that they help build better mechanistic models. In particular, understanding what cognitive systems may refer to is important in building better models of cognitive processes. For that purpose, a recent study of some phenomena in rats that are capable of ‘entertaining’ future paths (Pfeiffer and Foster 2013) is analyzed. The case shows that the mechanistic account of physical computation may be (...) complemented with semantic considerations, and in many cases, it actually should. (shrink)

Causal selection is the cognitive process through which one or more elements in a complex causal structure are singled out as actual causes of a certain effect. In this paper, we report on an experiment in which we investigated the role of moral and temporal factors in causal selection. Our results are as follows. First, when presented with a temporal chain in which two human agents perform the same action one after the other, subjects tend to (...) judge the later agent to be the actual cause. Second, the impact of temporal location on causal selection is almost canceled out if the later agent did not violate a norm while the former did. We argue that this is due to the impact that judgments of norm violation have on causal selection—even if the violated norm has nothing to do with the obtaining effect. Third, moral judgments about the effect influence causal selection even in the case in which agents could not have foreseen the effect and did not intend to bring it about. We discuss our findings in connection to recent theories of the role of moral judgment in causal reasoning, on the one hand, and to probabilistic models of temporal location, on the other. (shrink)

Social scientists appeal to various “structures” in their explanations including public policies, economic systems, and social hierarchies. Significant debate surrounds the explanatory relevance of these factors for various outcomes such as health, behavioral, and economic patterns. This paper provides a causal account of social structural explanation that is motivated by Haslanger (2016). This account suggests that social structure can be explanatory in virtue of operating as a causal constraint, which is a causal factor with unique characteristics. (...) A novel causal framework is provided for understanding these explanations–this framework addresses puzzles regarding the mysterious causal influence of social structure, how to understand its relation to individual choice, and what makes it the main explanatory (and causally responsible) factor for various outcomes. (shrink)

This chapter focuses on the experimental practices and reasoning strategies employed in nineteenth century investigations on the causal origin of the phenomenon of Brownian movement. It argues that there was an extensive and sophisticated experimental work done on the phenomenon throughout the nineteenth century. Investigators followed as rigorously as possible the methodological standards of their time to make causal claims and advance causal explanations of Brownian movement. Two major methodological strategies were employed. The first was the experimental (...) strategy of varying the circumstances. Suspected causal factors were varied and the resulting effect on Brownian movement was studied. The main goal of this strategy was the identification of difference-making factors, i.e., factors having a causal influence on the phenomenon. The second was the so-called method of hypothesis. Rather than relying exclusively on the ability of experiments to identify difference-making factors, its proponents tried to show how the independently developed tenets of the new kinetic-molecular conception of matter provided a plausible causal explanation of Brownian movement. Each one of these methodological strategies had its distinctive practices and notions of control. None of these strategies could, on its own, establish molecular motion as the cause of Brownian movement. It was only the fruitful combination of the two strategies and of their accompanying practices and notions of control that led, at the end of the nineteenth century, to the recognition of molecular motion as the most probable cause of Brownian movement. (shrink)

Implicit contextual factors mean that the boundary between causal and noncausal explanation is not as neat as one might hope: as the phenomenon to be explained is given descriptions with varying degrees of granularity, the nature of the favored explanation alternates between causal and non-causal. While it is not surprising that different descriptions of the same phenomenon should favor different explanations, it is puzzling why re-describing the phenomenon should make any difference for the causal nature (...) of the favored explanation. I argue that this is a problem for the ontic framework of causal and noncausal explanation, and instead propose a pragmatic-modal account of causal and non-causal explanation. This account has the added advantage of dissolving several important disagreements concerning the status of non-causal explanation. (shrink)

The review first discusses componential explanations of automaticity, which specify non/automaticity features (e.g., un/controlled, un/conscious, non/efficient, fast/slow) and their interrelations. Reframing these features as factors that influence processes (e.g., goals, attention, and time) broadens the range of factors that can be considered (e.g., adding stimulus intensity and representational quality). The evidence reviewed challenges the view of a perfect coherence among goals, attention, and consciousness, and supports the alternative view that (a) these and other factors influence the quality (...) of representations in an additive way (e.g., little time can be compensated by extra attention or extra stimulus intensity) and that (b) a first threshold of this quality is required for unconscious processing and a second threshold for conscious processing. The review closes with a discussion of causal explanations of automaticity, which specify factors involved in automatization such as repetition and complexity, and a discussion of mechanistic explanations, which specify the low-level processes underlying automatization. (shrink)

Se le llama ‘psiquiatría biológica’ a la vertiente de la investigación psiquiátrica que busca establecer asociaciones estables entre condiciones psiquiátricas y factores biológicos específicos. La búsqueda de tales asociaciones está motivada por lo que llamo el “compromiso causal” de la psiquiatría biológica, que es la presunción de que factores biológicos específicos son las causas principales de las condiciones psiquiátricas. En este artículo argüiré que dicho compromiso es una presunción implausible sobre esas condiciones, pues la mejor evidencia psiquiátrico-biológica disponible no (...) lo respalda y es dudoso que la evidencia futura lo hará. (shrink)

In biomedical measurement, biomarkers are used to achieve reliable prediction of, and useful causal information about patient outcomes while minimizing complexity of measurement, resources, and invasiveness. A biomarker is an assayable metric that discloses the status of a biological process of interest, be it normative, pathophysiological, or in response to intervention. The greatest utility from biomarkers comes from their ability to help clinicians (and researchers) make and evaluate clinical decisions. In this paper we discuss a specific methodological use of (...) clinical biomarkers in pharmacological measurement: Some biomarkers, called ‘surrogate markers’, are used to substitute for a clinically meaningful endpoint corresponding to events and their penultimate risk factors. We confront the reliability of clinical biomarkers that are used to gather information about clinically meaningful endpoints. Our aim is to present a systematic methodology for assessing the reliability of multiple surrogate markers (and biomarkers in general). To do this we draw upon the robustness analysis literature in the philosophy of science and the empirical use of clinical biomarkers. After introducing robustness analysis we present two problems with biomarkers in relation to reliability. Next, we propose an intervention-based robustness methodology for organizing the reliability of biomarkers in general. We propose three relevant conditions for a robust methodology for biomarkers: (R1) Intervention-based demonstration of partial independence of modes: In biomarkers partial independence can be demonstrated through exogenous interventions that modify a process some number of “steps” removed from each of the markers. (R2) Comparison of diverging and converging results across biomarkers: By systematically comparing partially-independent biomarkers we can track under what conditions markers fail to converge in results, and under which conditions they successfully converge. (R3) Information within the context of theory: Through a systematic cross-comparison of the markers we can make causal conclusions as well as eliminate competing theories. We apply our robust methodology to currently developing Alzheimer’s research to show its usefulness for making causal conclusions. (shrink)

I claim that ‘cause and effect’ only appears to involve distinct existences insofar as we can’t adequately understand the relationship, or insofar as we are determined to look at the matters of fact involved from a logically deductive point of view. Since ‘cause and effect’ often represents the first stab at understanding what happens in a situation, this means it will often appear to involve distinct existences, and since logical deduction is the acme of what it is to perform adequate (...) reasoning, for philosophers, this re-enforces this appearance, to philosophers. In contrast I claim we can try to avoid drawing conclusions beyond objects or factors in a situation, by comparing them as we attempt to trace them about. In so far as we succeed, since we have not had to go beyond the continued existence of those factors, they themselves must appear sufficient to produce that part of the situations they continue into and so construct. I also claim if somethings appear themselves sufficient to bring something about this is inconsistent with the claim it depends on something else e.g. human understanding, or language. Two cases; 1) If we assume this object has, or continues to have some properties e.g. weight, then on this basis we can validly deduce such & such consequences. 2) The continued existence of this object with weight would (or is) itself be sufficient to bring about…. The first makes what we are up to depend on our mode of reasoning, or what we recognize as ‘our way and principles of reasoning’. The second discovers the situation to be autonomous. (shrink)

Bodily sensations, such as pain, hunger, itches, or sexual feelings, are commonly characterized in terms of their phenomenal character. In order to account for this phenomenal character, many philosophers adopt strong representationalism. According to this view, bodily sensations are essentially and entirely determined by an intentional content related to particular conditions of the body. For example, pain would be nothing more than the representation of actual or potential tissue damage. In order to motivate and justify their view, strong representationalists often (...) appeal to the reliable causal covariance between bodily sensations and certain kinds of bodily conditions or to the corresponding biological function that these bodily sensations are supposed to fulfill. In this paper, I argue on the basis of recent empirical research that arguments from reliable causal covariance and biological function cannot motivate the introduction of corresponding intentional content. In particular, I argue that bodily sensations are caused by a heterogeneous class of physiological and psychological factors and their biological functions are too diverse to be reduced to the representation of a particular bodily condition. Responses are available to strong representationalists, but they either require substantial alterations to their core assumptions or incur a significant empirical burden. (shrink)

The results from a number of recent studies suggest that ascriptions of intentionality are based on evaluative considerations: specifically, that the likelihood of viewing a person’s actions as intentional is greater when the outcome is bad than good (see Knobe, 2006, 2010). In this research we provide an alternative explanation for these findings, one based on the idea that ascriptions of intentionality depend on causal structure. As predicted by the causal structure view, we observed that actions leading to (...) bad outcomes are associated with negative social pressures (Experiment 1), that these negative pressures give rise to a specific kind of causal structure (Experiment 2), and that when these causal structures are pitted against the badness of the outcome, intentionality judgments track with causal structure and not badness (Experiment 3). While the badness of an outcome may have an indirect effect on judgments of intentionality, our results suggest that the factors that affect judgments of intentionality most directly are non-evaluative and objective. (shrink)

A novel semantic naturalization program is proposed. Its three main differences from informational semantics approaches are as follows. First, it makes use of a perceptually based, four-factor interactive causal relation in place of a simple nomic covariance relation. Second, it does not attempt to globally naturalize all semantic concepts, but instead it appeals to a broadly realist interpretation of natural science, in which the concept of propositional truth is off-limits to naturalization attempts. And third, it treats all semantic concepts (...) as being purely abstract, so that concrete cognitive states are only indexed by them rather than instantiating them. (shrink)

To what extent are factors that are extrinsic to the artwork relevant to judgments of artistic value? One might approach this question using traditional philosophical methods, but one can also approach it using empirical methods; that is, by doing experimental philosophical aesthetics. This paper provides an example of the latter approach. We report two empirical studies that examine the significance of three sorts of extrinsic factors for judgments of artistic value: the causal-historical factor of contagion, the ontological (...) factor of uniqueness, and the contextual factor of appreciative environment. We explore the context of appreciation by performing studies in a museum as well as the lab. We found that contagion made a difference to judgments of artistic value in both settings. These results are congruent with previous empirical research as well as recent philosophical work that defends the artistic significance of authenticity. However, uniqueness only made a difference in the lab setting, but not in the museum. This suggests that the context of appreciation may make a difference to judgments of artistic value. Of broader significance, these studies show the value of experimental philosophical aesthetics and the value of doing in situ empirical research on art. (shrink)

Existing research has shown that norm violations influence causal judgments, and a number of different models have been developed to explain these effects. One such model, the necessity/sufficiency model, predicts an interac- tion pattern in people’s judgments. Specifically, it predicts that when people are judging the degree to which a particular factor is a cause, there should be an interaction between (a) the degree to which that factor violates a norm and (b) the degree to which another factor in (...) the situation violates norms. A study of moral norms (N = 1000) and norms of proper functioning (N = 3000) revealed robust evidence for the predicted interaction effect. The implications of these patterns for existing theories of causal judgments is discussed. (shrink)

This paper critically reviews and characterizes the student's causal-explanatory understanding; this is done as a step toward explicating the problematic of evolution education as it concerns the cognitive difficulties in understanding Darwin's theory of natural selection. The review concludes that the student's understanding is fundamentally different from Darwin's, for the student understands evolutionary change as necessary individual transformation caused by the transformative action of various physical and behavioral factors. This is in complete contrast to Darwin's (and even the (...) Darwinian's, for that matter) understanding of evolutionary change as a change caused by accumulative selection. Hence, to understand natural selection, the student has to learn to “see” how the accumulative selection causes evolutionary change. (shrink)

In this essay we will consider another basic topic: the problem of the nature of the distinctions between Sitte, Brauch, Wert, Mode, and Recht, on which Weber's discussion relies. These discussions typically involved the untranslatable concept of Sitte, which marks a contrast between practices or customs with normative force and “mere practice.” There is a close parallel to this distinction in American social thought in W. G. Sumner's latinate distinction between the mores and folkways of a society. In what follows (...) we shall simply use the German term as a reminder of its long history in German philosophy. Weber was obviously aware of this history, as was Jhering. Our aim will be to examine Weber's modifications of the received version of these distinctions and to consider the Implications of these modifications. As we shall see, what Weber represents as an innocuous classificatory problem contains a much more significant conceptual transformation, which bears on the general image of modernity as rationalization constructed by Weber. (shrink)

Michael Strevens offers an account of causal explanation according to which explanatory practice is shaped by counterbalanced commitments to representing causal influence and abstracting away from overly specific details. In this paper, I challenge a key feature of that account. I argue that what Strevens calls explanatory frameworks figure prominently in explanatory practice because they actually improve explanations. This suggestion is simple but has far-reaching implications. It affects the status of explanations that cite multiply realizable properties; changes the (...) explanatory role of causal factors with small effect; and undermines Strevens’ titular explanatory virtue, depth. This results in greater coherence with explanatory practice and accords with the emphasis that Strevens places on explanatory patterns. Ultimately, my suggestion preserves a tight connection between explanation and the creation of understanding by taking into account explanations’ role in communication. (shrink)

In “The Zygote Argument is Invalid: Now What?” (2015), Kristin Mickelson published an objection to the Zygote Argument that she first presented in 2012 as workshop comments on a draft of Mele's "Manipulation, Moral Responsibility, and Bullet-Biting" (2013). Assuming that the phrase "determinism precludes free will" means something like determinism-related causal factors are what prevent people from acting freely when determinism is true, Mele's original Zygote Argument was invalid. At the workshop, Mickelson presented Mele with two options to (...) address the problem, a premise-preserving option and a conclusion-preserving option. That is, Mele could change the conclusion of the original argument to the negative, non-explanatory thesis entailed by its original two premises, or find a way to add premises that would support the positive, explanatory conclusion of the original argument (which, notably, is the conclusion that Pereboom supports using best-explanation reasoning in his Four-Case Argument). Mickelson used this as an opportunity to explain the key contribution that best-explanation reasoning makes to manipulation arguments -- and why the best variant of the manipulation argument might conclude that incompatibilism is FALSE. In response to Mickelson's objection, Mele changed the conclusion of the argument before "Manipulation, Moral Responsibility, and Bullet-Biting" went to print, choosing Mickelson's proposal to change its conclusion over the suggestion to change its premises. However, Mele failed to mention Mickelson's invalidity objection in print and that he changed the conclusion of his argument as a direct response to it; nor did Mele mention the costs that Mickelson outlined for the premise-preserving solution that he adopted or the benefits of a conclusion-preserving solution. At the same time, Mele began using the term 'incompatibilism' to pick out the negative, non-explanatory claim supported by the newly revised Zygote Argument--and also started to claim (without providing evidence) that those who use the term 'incompatibilism' to denote the explanatory claim deterministic causal factors *make it the case* that no one acts freely when determinism is true" is guilty of using the term in a nonstandard and nontraditional way that he had "never had any use for"--failing to mention that he clearly used the term in this explanatory sense in his 2005 critique of the Four-Case Argument, which is to be expected give that Derk Pereboom uses the explanatory definition (as do Kadri Vihvelin, Carolina Sartorio, and *most* other contributors to the free-will literature). In THIS reply essay, Mickelson responds to an attempt by Gabriel De Marco (FSU, advisor Alfred Mele) to defend the original Zygote Argument from Mickelson's 2012/2015 critique. Unfortunately, both of De Marco's proposed "solutions" are non-starters. The first is a non-starter because De Marco merely repeats the premise-preserving solution that Mickelson offered to Mele in 2012 and that Mele adopted in print in 2013. In other words, De Marco took credit for the premise-preserving solution to the invalidity objection that Mickelson developed (although he does *redescribe* Mickelson's solution in his own idiosyncratic jargon) and Mele had already adopted in print. De Marco's second solution is a non-starter because it is constituted by a patently invalid argument. Contrary to De Marco's proposal, it's not true that the conjunction of possibilism and incompossibilism deductively entails the positive, diagnostic claim that deterministic causal factors beyond one's control preclude (destroy, undermine, is antagonistically relevant to) free will when determinism is true. *My thanks to the editors of Philosophia for publishing this reply when PhilStudies would not. (shrink)

I propose a distinct type of robustness, which I suggest can support a confirmatory role in scientific reasoning, contrary to the usual philosophical claims. In model robustness, repeated production of the empirically successful model prediction or retrodiction against a background of independentlysupported and varying model constructions, within a group of models containing a shared causal factor, may suggest how confident we can be in the causal factor and predictions/retrodictions, especially once supported by a variety of evidence framework. I (...) present climate models of greenhouse gas global warming of the 20th Century as an example, and emphasize climate scientists’ discussions of robust models and causal aspects. The account is intended as applicable to a broad array of sciences that use complex modeling techniques. (shrink)

One of the central aims of science is explanation: scientists seek to uncover why things happen the way they do. This chapter addresses what kinds of explanations are formulated in biology, how explanatory aims influence other features of the field of biology, and the implications of all of this for biology education. Philosophical treatments of scientific explanation have been both complicated and enriched by attention to explanatory strategies in biology. Most basically, whereas traditional philosophy of science based explanation on derivation (...) from scientific laws, there are many biological explanations in which laws play little or no role. Instead, the field of biology is a natural place to turn for support for the idea that causal information is explanatory. Biology has also been used to motivate mechanistic accounts of explanation, as well as criticisms of that approach. Ultimately, the most pressing issue about explanation in biology may be how to account for the wide range of explanatory styles encountered in the field. This issue is crucial, for the aims of biological explanation influence a variety of other features of the field of biology. Explanatory aims account for the continued neglect of some central causal factors, a neglect that would otherwise be mysterious. This is linked to the persistent use of models like evolutionary game theory and population genetic models, models that are simplified to the point of unreality. These explanatory aims also offer a way to interpret many biologists’ total commitment to one or another methodological approach, and the intense disagreements that result. In my view, such debates are better understood as arising not from different theoretical commitments, but commitments to different explanatory projects. Biology education would thus be enriched by attending to approaches to biological explanation, as well as the unexpected ways that these explanatory aims influence other features of biology. I suggest five lessons for teaching about explanation in biology that follow from the considerations of this chapter. (shrink)

There are three questions associated with Simpson’s paradox (SP): (i) Why is SP paradoxical? (ii) What conditions generate SP? and (iii) How to proceed when confronted with SP? An adequate analysis of the paradox starts by distinguishing these three questions. Then, by developing a formal account of SP, and substantiating it with a counterexample to causal accounts, we argue that there are no causal factors at play in answering questions (i) and (ii). Causality enters only in connection (...) with action. (shrink)

How do we determine whether some candidate causal factor is an actual cause of some particular outcome? Many philosophers have wanted a view of actual causation which fits with folk intuitions of actual causation and those who wish to depart from folk intuitions of actual causation are often charged with the task of providing a plausible account of just how and where the folk have gone wrong. In this paper, I provide a range of empirical evidence aimed at showing (...) just how and where the folk go wrong in determining whether an actual causal relation obtains. The evidence suggests that folk intuitions of actual causation are generated by two epistemically defective processes. I situate the empirical evidence within a background discussion of debunking, arguing for a two-pronged debunking explanation of folk intuitions of actual causation. I conclude that those who wish to depart from folk intuitions of actual causation should not be compelled to square their account of actual causation with the verdicts of the folk. In the dispute over actual causation, folk intuitions deserve to be rejected. (shrink)

Conceptual engineering is a philosophical method that aims to design and spread conceptual and linguistic devices to cause meaningful changes in the world. So far, however, conceptual engineers have struggled to successfully spread the conceptual and linguistic entities they have designed to their target communities. This paper argues that conceptual engineering is far more likely to succeed if it incorporates empirical data and empirical methods. Because the causal factors influencing successful propagation of linguistic or conceptual devices are as (...) complicated and interwoven as they are, proper empirical research will greatly boost the likelihood that propagation is successful. In arguing for the superiority of empirical conceptual engineering over armchair-based conceptual engineering, this paper proposes a framework for understanding the causal forces at play in propagation. This is a three-part framework between the label of a lexical item, the psychological states associated with the lexical item, and the worldly things associated with the lexical item. By understanding the way causal forces affecting propagation play out at these three levels, conceptual engineers can better conceptualize, study, and harness the different causal forces affecting the success of their conceptual engineering projects. (shrink)

On Jaeggi’s reading, the immanent and progressive features of ideology critique are rooted in the connection between its explanatory and its normative tasks. I argue that this claim can be cashed out in terms of the mechanisms involved in a functional explanation of ideology and that stability plays a crucial role in this connection. On this reading, beliefs can be said to be ideological if (a) they have the function of supporting existing social practices, (b) they are the output of (...) systematically distorted processes of belief formation, (c) the conditions in which distorting mechanisms trigger can be traced back to structural causal factors shaped by the social practice their outputs are designed to support. Functional problems thus turn out to be interlocked with normative problems because ideology fails to provide principles to regulate cooperation that would be accepted under conditions of non-domination, hence failing to anchor a stable cooperative scheme. By explaining ideology as parasitic on domination, ideology critique points to the conditions under which cooperation stabilizes as those of a practice whose principles are accepted without coercion. Thus, it seems to entail a conception of justice whose principles are articulated as part of a theory of social cooperation. (shrink)

This essay explores a problem for Nyāya epistemologists. It concerns the notion of pramā. Roughly speaking, a pramā is a conscious mental event of knowledge-acquisition, i.e., a conscious experience or thought in undergoing which an agent learns or comes to know something. Call any event of this sort a knowledge-event. The problem is this. On the one hand, many Naiyāyikas accept what I will call the Nyāya Definition of Knowledge, the view that a conscious experience or thought is a knowledge-event (...) just in case it is true and non-recollective. On the other hand, they are also committed to what I shall call Nyāya Infallibilism, the thesis that every knowledge-event is produced by causes that couldn’t have given rise to an error. These two commitments seem to conflict with each other in cases of epistemic luck, i.e., cases where an agent arrives a true judgement accidentally or as a matter of luck. While the Nyāya Definition of Knowledge seems to predict that these judgements are knowledge-events, Nyāya Infallibilism seems to entail that they aren’t. In this essay, I show that Gaṅgeśa Upādhyāya, the 14th century Naiyāyika, solves this problem by adopting what I call epistemic localism, the view that upstream causal factors play no epistemically significant role in the production of knowledge. (shrink)

Contemporary philosophical and scienti .c discussions of mind developed from a 'proto-concept of mind ',a mythical,tradition- alistic,animistic and quasi-sensory theory about what it means to have a mind. It can be found in many di .erent cultures and has a semantic core corresponding to the folk-phenomenological notion of a 'soul '.It will be argued that this notion originates in accurate and truthful .rst-person reports about the experiential content of a special neurophenomenological state-class called 'out-of-body experiences '.They can be undergone by (...) every human being and seem to possess a culturally invariant cluster of functional and phenomenal core properties similar to the proto-concept of mind. The common causal factor in the emergence and development of the notion of the soul and the proto-concept of mind may consist in a yet to be determined set of properties realized by the human brain, underlying the cluster of phenomenal properties described in the relevant first-person reports. This hypothesis suggests that such a neurofunctional substrate ed human beings at different times, and in widely varying cultural contexts, to postulate the existence of a soul and to begin developing a theory of mind. (shrink)

ABSTRACT: This paper serves two purposes: (i) it can be used by students as an introduction to chapters 1-5 of book iii of the NE; (ii) it suggests an answer to the unresolved question what overall objective this section of the NE has. The paper focuses primarily on Aristotle’s theory of what makes us responsible for our actions and character. After some preliminary observations about praise, blame and responsibility (Section 2), it sets out in detail how all the key notions (...) of NE iii 1-5 are interrelated (Sections 3-9). The setting-out of these interconnections makes it then possible to provide a comprehensive interpretation of the purpose of the passage. Its primary purpose is to explain how agents are responsible for their actions not just insofar as they are actions of this kind or that, but also insofar as they are noble or base: agents are responsible for their actions qua noble or base, because, typically via choice, their character dispositions are a causal factor of those actions (Section 10). The paper illustrates the different ways in which agents can be causes of their actions by means of Aristotle’s four basic types of agents (Section 11). A secondary purpose of NE iii 1-5 is to explain how agents can be held responsible for consequences of their actions (Section 12), in particular for their character dispositions insofar as these are noble or base, i.e. virtues or vices (Section 13). These two goals are not the only ones Aristotle pursues in the passage. But they are the ones Aristotle himself indicates in its first sentence and summarizes in its last paragraph; and the ones that give the passage a systematic unity. The paper also briefly consider the issues of freedom-to-do-otherwise, free choice and free-will in the contexts in which they occur (i.e. in the final paragraphs of Sections 6, 7, 12, 13). (shrink)

What methodological approaches do research programs use to investigate the world? Elisabeth Lloyd’s Logic of Research Questions (LRQ) characterizes such approaches in terms of the questions that the researchers ask and causal factors they consider. She uses the Logic of Research Questions Framework to criticize adaptationist programs in evolutionary biology for dogmatically assuming selection explanations of the traits of organisms. I argue that Lloyd’s general criticism of methodological adaptationism is an artefact of the impoverished LRQ. My Ordered (...) class='Hi'>Factors Proposal extends the LRQ to characterize approaches with sequences of questions and factors. I highlight the importance that ordering one’s investigation plays in approaches at the level of adaptationism by analyzing two research programs in community ecology: competitionists and neutralists. Competitionists and neutralists take opposed starting points and use explanatory and developmental heuristics to consider more factors in due time. On the Ordered Factors Proposal, these approaches are not only the ecological factors they are open to considering but also the order in which they will consider them. My disagreement with Lloyd’s over how to characterize methodological approaches reflects different views about methodological monism and pluralism. (shrink)

Recently scholars have been claiming that Aristotle’s biological explanations treat “facts about matter”—facts such as the degree of heat or amount of fluidity in an organism’s material constitution—as explanatorily basic or “primitive.” That is, these facts about matter are taken to be unexplained, brute facts about organisms, rather than ones that are explained by the organism’s form or essence, as we would have expected from Aristotle’s general commitment to the causal and explanatory priority of form over matter. In this (...) paper, I present three considerations for rejecting the view that facts about matter are primitive. First, there is evidence that those putative unexplained facts about degrees of heat, dryness, fluidity, etc. are, in fact, explained. Second, there are certain cases, such as human intelligence, where it would be quite implausible to consider the explanation in terms of degrees of heat to be starting from what Aristotle considers primitive facts. Third, the idea that facts about matter are as explanatorily primitive as facts about form requires a particular conception of the causal processes that the explanations mirror. But this conception of the causal processes conflicts with the way Aristotle characterizes them in Generation of Animals. There, heat is not treated as a causal factor that works “independently” of soul. In my view, these three considerations provide compelling reason to reject the claim that Aristotle’s biology treats facts about matter as primitive. (shrink)