La denominada 'estrategia del explanandum dual' ha sido utilizada en el pasado para enfrentar problemas de distinta clase, entre los que se cuentan el debate 'explicación vs. comprensión' y el problema de cómo las razones pueden explicar la conducta. Esta estrategia puede ser descripta someramente como un intento de resolver la rivalidad explicativa entre dos explicaciones por medio de la división del explanandum. En este artículo se analiza el uso que Ausonio Marras ha hecho de ella. Este autor (...) ha sostenido que su utilización permite enfrentar el problema de la ineficacia causal de las propiedades mentales, problema que ha representado una seria amenaza en las últimas dos décadas para el programa del materialismo no reduccionista. Se intentará mostrar que la estrategia sugerida no puede ser exitosa frente a este problema a menos que pueda proveerse de una explicación exitosa de cómo las propiedades mentales pueden mantener su eficacia causal completa, y que la respuesta que se ofrece no satisface esta exigencia. The dual explanandum strategy' has been used in the past to contend some quite different problems, including the 'explanation vs. understanding' debate and the problem of how reasons can explain behavior. This strategy can be roughly described as an intent to solve the explanatory rivalry between two explanations by means of the division of the explanandum. In this paper I want to analyze the use of this strategy by Ausonio Marras, who has claimed that it allows us to face the problem of causal inefficacy of mental properties. This problem has arisen in the last two decades in the context of non reductive materialism and has become a serious menace to this program. I try to show that this strategy can not work out this problem unless it can be provided with a successful account of the way that mental properties can keep their complete causal efficacy, and the answer he offers does not satisfy this demand. (shrink)

The fundamental constants and initial conditions of the universe seem "finely tuned" for human habitation. The anthropic principle attempts to explain this fine tuning in terms of the eventual development of intelligent life. A closer look at the principle’s explanandum, however, reveals that it is teleologically and anthropocentrically biased. Our ignorance of the physical requirements of nonhuman forms of life forces the principle to be more unjustifiably anthropocentric and more speculative than is commonly admitted. Leslie’s, Barrow’s and Tipler’s attempts (...) to avoid an overly anthropocentric anthropic principle fail to solve these problems. (shrink)

In this paper I try to fix the price that a non-epiphenomenal dualism demands. To begin with, the defender of non-epiphenomenal dualism cannot hold that mental events cause physical events, since the physical world is causally closed. Hence, she must say that mental events cause events that are not physical, or at least, events that are not affected by the principle of the causal closure of the physical world. However, this is not all: the events mental causes bring about must (...) fulfill certain further conditions, which I spell out. When properly analyzed, it will be seen that these conditions make the dual explanandum strategy highly demanding. /// En este artículo trato de fijar el precio que un dualismo no epifenomènico tiene que pagar. Para empezar, el defensor del dualismo no epifenomenico no puede mantener que los eventos mentales causan cambios en el mundo fisico, ya que èste está causalmente cerrado. Por lo tanto, ha de decir que los eventos mentales causan eventos que no son fisicos, o, al menos, que no están sometidos al principio del cierre causal del mundo fisico. Sin embargo, esto no es todo: los eventos que son efectos de las causas mentales tienen que cumplir ciertas condiciones ulteriores, condiciones que detallo. Cuando èstas se analizan propiamente, se ve que vuelven muy exigente la estrategia del doble explanandum. (shrink)

Intending to have a constructive dialogue with the combination of evolutionary theory (E) and metaphysical naturalism (N), Alvin Plantinga’s evolutionary argument against naturalism (EAAN) takes the reliability of human cognition (in normal environments) as a purported explanandum and E&N as a purported explanans. Then, he considers whether E&N can offer a good explanans for this explanandum, and his answer is negative (an answer employed by him to produce a defeater for N). But I will argue that the whole (...) EAAN goes wrong by assuming that R is a qualified explanandum crying out for scientific explanations, since it cannot meet either of the two criteria for any scientifically qualified explanandum: Realizability Criterion and Informativeness Criterion. Hence, EAAN is simply setting a task that E&N, as a scientific theory, will not care at all. Therefore, EAAN cannot substantially shake E&N. (shrink)

Text kriticky hodnotí tvrzení o pojmu fenomenálního vědomí, která jsou obsažena v šesté kapitole knihy Tomáše Hříbka Jaké to je, nebo o čem to je? Mým východiskem je teze Erica Schwitzgebela, že fenomenální vědomí můžeme definovat natolik neutrálně a minimalisticky, že se na jeho existenci mohou shodnout i teoretikové vědomí z velmi rozdílných táborů. Hříbek tento názor nesdílí, snažím se ale ukázat, že na základě lichých argumentů. Značnou pozornost v textu věnuji názorům Daniela Dennetta na podstatu vědomí, především pak „iluzionismu“ (...) jakožto teorii vědomí. Ten pokládám za teorii se značně nejasným obsahem a navrhuji, aby se o něm ve filozofii vědomí vedly soustředěné diskuze. (shrink)

Affirming the consequent is an inferential pattern in which one infers the antecedent of a given conditional from its consequent. Abductive inference is structurally similar: given some evidence, one infers a hypothesis that explains the evidence. I show that a Bayesian analysis of affirming the consequent helps us understand under which conditions abduction may be justified. This provides a Bayesian vindication of explanatory inference.

In The Elm and the Expert (1994), Fodor attempts to reconcile the idea that psychological laws are characteristically intentional with the idea that their implementation is typically computational. In order to do so, Fodor must show that narrow contents are superfluous for the purposes of psychological explanation and that Frege cases are rare and constitute unsystematic exceptions. The paper contends that the argument Fodor offers in order to establish his claim is flawed. It argues that the principle of informational equilibrium (...) the argument is based on rests on an utterly implausible conception of the rationality of action. (shrink)

My aim in this paper is twofold: I will try to clarify what the conditions developed in EN I a discipline or an argument must meet to be assumed as precise are, and, then, try to present evidence that the exam of akrasia in EN VII 3 meets these conditions. In the first part of this paper, I will select passages in which such conditions are displayed, and also distinguish between practical precision and theoretical precision. In the second part, where (...) the analysis of the senses of having but not using knowledge in EN VII 3 is carried on, I will claim that Aristotle’s objective is reaching the adequate statement of the explanandum that will be the subject of causal enquiry of akrasia. My concluding remarks will claim that the conditions displayed in this paper’s first part are met by Aristotelian procedure in EN VII 3. (shrink)

Much second language acquisition (SLA) research confuses the representational and the developmental problems of language acquisition, assuming that attributes of a property theory will explain the transitions between the stages of a psychogrammar, or that induction will explain the properties of the representational systems which encode language. I argue that Principles and Parameter-setting theory deals only with the representational problem, and that induction must play a role in explaining the developmental problem. The conclusion is that both Epstein et al. and (...) the papers they criticize are right; they are just not right about the same issues. (shrink)

The author proposes that Tomasello's kind of asking and answering questions is a kind of quasi transcendental naturalism . It is transcendental in the sense that he asks about the structural and functional conditions that enable emprical phenomena. But he changes the direction of this question to its answer – namely to different time frames in nature and to empirical methods. Furthermore, the article proposes precisions of his conception regarding the intelligence of chimpanzees; the problem of imitation ; the difference (...) between biological environment, socio-cultural environment and frames of worlds for persons. Finally, the article limits his explanatory claims with regard to the distinctions community versus society, concrete roles versus generalized roles of others, and to the personal pronouns of you , we, you and they differing from the usual dualism of first person percpective versus third person perspective in singular. (shrink)

Contemporary theories of self-consciousness typically begin by dividing experiences of the self into types, each requiring separate explanation. The stereotypical case of an out of body experience may be seen to suggest a distinction between the sense of oneself as an experiencing subject, a mental entity, and a sense of oneself as an embodied person, a bodily entity. Point of view, in the sense of the place from which the subject seems to experience the world, in this case is tied (...) to the sense of oneself as a mental entity and seems to be the ‘real’ self. Closer reading of reports, however, suggests a substantially more complicated picture. For example, the ‘real’ self that is experienced as separate from the body in an OBE is not necessarily experienced as disembodied. Subjects may experience themselves as having two bodies. In cases classed as heautoscopy there is considerable confusion regarding the apparent location of the experiencing subject; is it the ‘real mind’ in the body I seem to be looking out from, or is it in the body that I see? This suggests that visual point of view can dissociate from the experience of one’s own “real mind” or experience of self-identification. I provide a tripartite distinction between the sense of ownership, the sense of embodiment and the sense of subjectivity to better describe these experiences. The phenomenology of OBEs suggests that there are three distinct forms of self-consciousness which need to be explained. (shrink)

Partial explanations are everywhere. That is, explanations citing causes that explain some but not all of an effect are ubiquitous across science, and these in turn rely on the notion of degree of explanation. I argue that current accounts are seriously deficient. In particular, they do not incorporate adequately the way in which a cause’s explanatory importance varies with choice of explanandum. Using influential recent contrastive theories, I develop quantitative definitions that remedy this lacuna, and relate it to existing (...) measures of degree of causation. Among other things, this reveals the precise role here of chance, as well as bearing on the relation between causal explanation and causation itself. (shrink)

The oddities in lottery cases and Moore’s paradox appear to support the knowledge account of assertion, according to which one should assert only what one knows. This paper preserves an emphasis on epistemic norms but presents grounds for an alternative explanation. The alternative divides the explanandum, explaining the error in lottery and Moorean assertions with one move and their deeper incoherence with another. The error derives from a respect in which the assertions are uninformative: the speaker is not being (...) appropriately responsive to her addressee’s epistemic needs. And the incoherence derives from a deeper respect in which lottery and some (but not all) Moorean assertions are uninformative: it is difficult to see how the speaker’s assertion could express any judgment she has made or would relevantly make, since she transparently lacks epistemic authority to inform any conceivable interlocutor on the subject. This diagnosis suggests an epistemic approach not directly to assertion but to judgment. Without judging that p, how could a speaker be in the business of informing her addressee that p? If the speaker transparently lacks authority to inform anyone whether p – to give anyone her word that p – how could she without confusion count as judging that p? (shrink)

After being sorely neglected for some time, consciousness is well and truly back on the philosophical and scientific agenda. This entry provides a whistle-stop tour of some recent debates surrounding consciousness, with a particular focus on issues relevant to the scientific study of consciousness. The first half of this entry (the first to fourth sections) focuses on clarifying the explanandum of a science of consciousness and identifying constraints on an adequate account of consciousness; the second half of this entry (...) (the fifth to seventh sections) examines a number of the methodological challenges facing the science of consciousness. (shrink)

Humean accounts of natural lawhood have often been criticized as unable to account for the laws’ characteristic explanatory power in science. Loewer has replied that these criticisms fail to distinguish grounding explanations from scientific explanations. Lange has replied by arguing that grounding explanations and scientific explanations are linked by a transitivity principle, which can be used to argue that Humean accounts of natural law violate the prohibition on self-explanation. Lange’s argument has been sharply criticized by Hicks and van Elswyk, Marshall, (...) and Miller. This paper shows how Lange’s argument can withstand these criticisms once the transitivity principle and the prohibition on self-explanation are properly refined. The transitivity principle should be refined to accommodate contrasts in the explanans and explanandum. The prohibition on self-explanation should be refined so that it precludes a given fact p from helping to explain why some other fact q helps to explain why p. In this way, the transitivity principle avoids having counterintuitive consequences in cases involving macrostates having multiple possible microrealizations. The transitivity principle is perfectly compatible with the irreducibility of macroexplanations to microexplanations and with the diversity of the relations that can underwrite scientific explanations. (shrink)

Humans are a kind of animal, and it is a natural and sensible idea that the way to understand what it is for a human person to persist over time is to reflect on what it is for an animal to persist. This paper accepts this strategy. However, especially in the light of a range of recent biological findings, the persistence of animals turns out to be much more problematic than is generally supposed. The main philosophical premise of the paper (...) is that living systems generally are best treated as processes rather than things. These processes prove to be so complexly intertwined and interdependent, that there is no unique, objective way of distinguishing the individuals from which they are composed. For this reason the animalist perspective, it is argued, problematizes as much as it resolves the problem of personal identity. Traditional concerns with responsibility and reactive attitudes provide an intelligible and defensible motivation for distinguishing the individuals we standardly assume as the explanandum in these discussions. But, from a biological point of view, the underlying individualism is a contingent perspective, as much justified by these concerns as providing an objective grounding for them. (shrink)

By linking the concepts of homology and morphological organization to evolvability, this paper attempts to (1) bridge the gap between developmental and phylogenetic approaches to homology and to (2) show that developmental constraints and natural selection are compatible and in fact complementary. I conceive of a homologue as a unit of morphological evolvability, i.e., as a part of an organism that can exhibit heritable phenotypic variation independently of the organism’s other homologues. An account of homology therefore consists in explaining how (...) an organism’s developmental constitution results in different homologues/characters as units that can evolve independently of each other. The explanans of an account of homology is developmental, yet the very explanandum is an evolutionary phenomenon: evolvability in a character-by-character fashion, which manifests itself in phylogenetic patterns as recognized by phylogenetic approaches to homology. While developmental constraints and selection have often been viewed as antagonistic forces, I argue that both are complementary as they concern different parts of the evolutionary process. Developmental constraints, conceived of as the presence of the same set of homologues across phenotypic change, pertain to how heritable variation can be generated in the first place (evolvability), while natural selection operates subsequently on the produced variation. (shrink)

I use the collection of “carnal ethnographies” of martial arts and combat sports assembled by Raul Sanchez and Dale Spencer under the title Fighting Scholars to spotlight the fruitfulness of deploying habitus as both empirical object (explanandum) and method of inquiry (modus cognitionis). The incarnate study of incarnation supports five propositions that clear up tenacious misconceptions about habitus and bolster Bourdieu’s dispositional theory of action: (1) far from being a “black box,” habitus is fully amenable to empirical inquiry; (2) (...) the distinction between primary (generic) and secondary (specific) habitus enables us to capture the malleability of dispositions; (3) habitus is composed of cognitive, conative and affective elements: categories, skills, and desires; (4) habitus allows us to turn carnality from problem to resource for the production of sociological knowledge; and (5) thus to realize that all social agents are, like martial artists, suffering beings collectively engaged in embodied activities staged inside circles of shared commitments. (shrink)

An underlying assumption in computational approaches in cognitive and brain sciences is that the nervous system is an input–output model of the world: Its input–output functions mirror certain relations in the target domains. I argue that the input–output modelling assumption plays distinct methodological and explanatory roles. Methodologically, input–output modelling serves to discover the computed function from environmental cues. Explanatorily, input–output modelling serves to account for the appropriateness of the computed function to the explanandum information-processing task. I compare very briefly (...) the modelling explanation to mechanistic and optimality explanations, noting that in both cases the explanations can be seen as complementary rather than contrastive or competing. (shrink)

A number of philosophers have recently become receptive to the idea that, in addition to scientific or causal explanation, there may be a distinctive kind of metaphysical explanation, in which explanans and explanandum are connected, not through some sort of causal mechanism, but through some constitutive form of determination. I myself have long been sympathetic to this idea of constitutive determination or ‘ontological ground’; and it is the aim of the present paper to help put the idea on a (...) firmer footing - to explain how it is to be understood, how it relates to other ideas, and how it might be of use in philosophy. (shrink)

Network analysis is increasingly used to discover and represent the organization of complex systems. Focusing on examples from neuroscience in particular, I argue that whether network models explain, how they explain, and how much they explain cannot be answered for network models generally but must be answered by specifying an explanandum, by addressing how the model is applied to the system, and by specifying which kinds of relations count as explanatory.

The two major modern accounts of explanation are the causal and unification accounts. My aim in this paper is to provide a kind of unification of the causal and the unification accounts, by using the central technical apparatus of the unification account to solve a central problem faced by the causal account, namely, the problem of determining which parts of a causal network are explanatorily relevant to the occurrence of an explanandum. The end product of my investigation is a (...) causal account of explanation that has many of the advantages of the unification account. (shrink)

Abstract‘Behavioural modernity’ isn’t what it used to be. Once conceived as an integrated package of traits demarcated by a clear archaeological signal in a specific time and place, it is now disparate, archaeologically equivocal, and temporally and spatially spread. In this paper we trace behavioural modernity’s empirical and theoretical developments over the last three decades, as surprising discoveries in the material record, as well the reappraisal of old evidence, drove increasingly sophisticated demographic, social and cultural models of behavioural modernity. We (...) argue, however, that some approaches to identifying and categorizing modernity have not kept up with this new picture. This is due to what we term ‘Rubicon expectations’: classificatory and interpretive practices which look for or assume clear demarcations in behavioural and cultural processes. We develop a philosophical account of ‘investigative disintegration’ to capture how our understanding of behavioural modernity has changed, and how Rubicon-based practices have become inadequate. Disintegration, in the form we analyse, occurs when scientists’ conception of a phenomenon shifts sufficiently to reshape an investigation’s epistemic structure. For behavioural modernity, the explanatory weight which once lay on identifying ‘switch-points’ in the innate suite of hominin cognitive capacities, lies now in understanding the social and demographic environments that were capable of sustaining and nourishing more complex material cultures. Finally, we argue that the phenomenon itself has not disintegrated to the point that we are left with no interesting explanandum: for all its mosaic, disparate nature, there are still good reasons for behavioural modernity to retain its central place in investigation of our species' origins. (shrink)

Besides mechanistic explanations of phenomena, which have been seriously investigated in the last decade, biology and ecology also include explanations that pinpoint specific mathematical properties as explanatory of the explanandum under focus. Among these structural explanations, one finds topological explanations, and recent science pervasively relies on them. This reliance is especially due to the necessity to model large sets of data with no practical possibility to track the proper activities of all the numerous entities. The paper first defines topological (...) explanations and then explains why topological explanations and mechanisms are different in principle. Then it shows that they are pervasive both in the study of networks—whose importance has been increasingly acknowledged at each level of the biological hierarchy—and in contexts where the notion of selective neutrality is crucial; this allows me to capture the difference between mechanisms and topological explanations in terms of practical modelling practices. The rest of the paper investigates how in practice mechanisms and topologies are combined. They may be articulated in theoretical structures and explanatory strategies, first through a relation of constraint, second in interlevel theories, or they may condition each other. Finally, I explore how a particular model can integrate mechanistic informations, by focusing on the recent practice of merging networks in ecology and its consequences upon multiscale modelling. (shrink)

Renormalization group explanations account for the astonishing phenomenon that microscopically very different physical systems display the same macro-behavior when undergoing phase-transitions. Among philosophers, this explanandum phenomenon is often described as the occurrence of a particular kind of multiply realized macro-behavior. In several recent publications, Robert Batterman denies that RG explanations account for this explanandum phenomenon by following the commonality strategy, i.e. by identifying properties that microscopically very different physical systems have in common. Arguing against Batterman’s claim, I defend (...) the view that RG explanations are in accord with the commonality strategy. (shrink)

It has been the dominant view that probabilistic explanations of particular facts must be inductive in character. I argue here that this view is mistaken, and that the aim of probabilistic explanation is not to demonstrate that the explanandum fact was nomically expectable, but to give an account of the chance mechanism(s) responsible for it. To this end, a deductive-nomological model of probabilistic explanation is developed and defended. Such a model has application only when the probabilities occurring in covering (...) laws can be interpreted as measures of objective chance, expressing the strength of physical propensities. Unlike inductive models of probabilistic explanation, this deductive model stands in no need of troublesome requirements of maximal specificity or epistemic relativization. (shrink)

I make a contribution to the sociology of epistemologies by examining the neuroscience literature on love from 2000 to 2016. I find that researchers make consequential assumptions concerning the production or generation of love, its temporality, its individual character, and appropriate control conditions. Next, I consider how to account for these assumptions’ being common in the literature. More generally, I’m interested in the ways in which epistemic communities construe, conceive of, and publicly represent and work with their objects of inquiry—and (...) what’s thereby assumed about them and about the world. I argue that these implicit or explicit assumptions are a distinct type of explanandum, whose distinctiveness sociology hasn’t adequately appreciated and taken advantage of. I think it should and I hope it will. (shrink)

The claim defended in the paper is that the mechanistic account of explanation can easily embrace idealization in big-scale brain simulations, and that only causally relevant detail should be present in explanatory models. The claim is illustrated with two methodologically different models: Blue Brain, used for particular simulations of the cortical column in hybrid models, and Eliasmith’s SPAUN model that is both biologically realistic and able to explain eight different tasks. By drawing on the mechanistic theory of computational explanation, I (...) argue that large-scale simulations require that the explanandum phenomenon is identified; otherwise, the explanatory value of such explanations is difficult to establish, and testing the model empirically by comparing its behavior with the explanandum remains practically impossible. The completeness of the explanation, and hence of the explanatory value of the explanatory model, is to be assessed vis-à-vis the explanandum phenomenon, which is not to be conflated with raw observational data and may be idealized. I argue that idealizations, which include building models of a single phenomenon displayed by multi-functional mechanisms, lumping together multiple factors in a single causal variable, simplifying the causal structure of the mechanisms, and multi-model integration, are indispensable for complex systems such as brains; otherwise, the model may be as complex as the explanandum phenomenon, which would make it prone to so-called Bonini paradox. I conclude by enumerating dimensions of empirical validation of explanatory models according to new mechanism, which are given in a form of a “checklist” for a modeler. (shrink)

Social evolution theory conventionally takes an externalist explanatory stance, treating observed cooperation as explanandum and the positive assortment of cooperative behaviour as explanans. We ask how the circumstances bringing about this positive assortment arose in the first place. Rather than merely push the explanatory problem back a step, we move from an externalist to an interactionist explanatory stance, in the spirit of Lewontin and the Niche Construction theorists. We develop a theory of ‘social niche construction’ in which we consider (...) biological entities to be both the subject and object of their own social evolution. Some important cases of the evolution of cooperation have the side-effect of causing changes in the hierarchical level at which the evolutionary process acts. This is because the traits that act to align the fitness interests of particles in a collective can also act to diminish the extent to which those particles are bearers of heritable fitness variance, while augmenting the extent to which collectives of such particles are bearers of heritable fitness variance. In this way, we can explain upward transitions in the hierarchical level at which the Darwinian machine operates in terms of particle-level selection, even though the outcome of the process is a collective-level selection regime. Our theory avoids the logical and metaphysical paradoxes faced by other attempts to explain evolutionary transitions. (shrink)

Philosophical interest in thought experiments has grown over the last couple of decades. Several positions have emerged, defined largely by their differing responses to a perceived epistemological challenge: how do thought experiments yield justified belief revision, even in science, when they provide no new empirical data? Attitudes towards this supposed explanandum differ. Many philosophers accept that it poses a genuine puzzle and hence seek to provide a substantive explanation. Others reject or deflate the epistemic claims made for thought experiments.In (...) this paper I present a model for many thought experiments in philosophy and science. The model doesn't assume that thought experiments in fact manage to achieve epistemic justifi cation, but it allows us to see how they aspire to do so. It also emphasises both the parallels and the discrepancies between thought experiments and ordinary scientific experiments. (shrink)

It is generally accepted that, in the cognitive and neural sciences, there are both computational and mechanistic explanations. We ask how computational explanations can integrate into the mechanistic hierarchy. The problem stems from the fact that implementation and mechanistic relations have different forms. The implementation relation, from the states of an abstract computational system to the physical, implementing states is a homomorphism mapping relation. The mechanistic relation, however, is that of part/whole; the explaining features in a mechanistic explanation are the (...) components of the explanandum phenomenon and their causal organization. Moreover, each component in one level of mechanism is constituted and explained by components of an underlying level of mechanism. Hence, it seems, computational variables and functions cannot be mechanistically explained by the medium-dependent states and properties that implement them. How then, do the computational and the implementational integrate to create the mechanistic hierarchy? After explicating the general problem, we further demonstrate it through a concrete example, of reinforcement learning, in the cognitive and neural sciences. We then examine two possible solutions. On one solution, the mechanistic hierarchy embeds at the same levels computational and implementational properties. This picture fits with the view that computational explanations are mechanistic sketches. On the other solution, there are two separate hierarchies, one computational and another implementational, which are related by the implementation relation. This picture fits with the view that computational explanations are functional and autonomous explanations. It is less clear how these solutions fit with the view that computational explanations are full-fledged mechanistic explanations. Finally, we argue that both pictures are consistent with the reinforcement learning example, but that scientific practice does not align with the view that computational models are merely mechanistic sketches. (shrink)

In this chapter, it is described and assessed how political scientists use rational choice theories to offer causal explanations. We observe that the ways in which rational choice theories are considered to be successful in political science differs, depending on the explanandum in question. Political scientists use empirical variants of rational choice theories to explain the political behavior of individual agents and analytical variants to explain the behavior of collective actors. Both variants are used for distinct explananda, which ask (...) for different modes of explanation that raise in turn different explanatory demands toward rational choice theories. We argue that when political scientists discuss the explanatory usefulness of rational choice theories, they should assess them in light of the demands they are supposed to meet. This would enable a more nuanced and problem-oriented appraisal of rational choice theories in political science. (shrink)

According to Lange,?Really Statistical explanations? constitute an important kind of non-causalscientific explanation. However, Roski has argued that all alleged RS explanations are either causalexplanations or not explanations at all. In so arguing, Roski has invoked Kahneman?s interpretation of onealleged RS explanation. I employ Roski?s arguments as an opportunity to elaborate and defend RS explanations. Iargue that?RS explanations? genuinely explain rather than deny the presuppositions of why-questions. I argue thatthe RS model is not excessively permissive in allowing some explanations to work (...) purely statistically rather than bydescribing causal relations. I argue that Roski?s view that some?RS explanations? operate by describing causalrelations fails to capture the kind of explanatory insight that RS explanations provide. I elaborate the notion of a?characteristically statistical phenomenon? that figures in the RS model and thereby explain how an RS explanationreveals that its explanandum is independent of any causal facts or specific chances, but rather depends only on ageneric sort of arrangement of chances. Finally, I argue that Roski misinterprets Kahneman, who actually holds thatthe explanation he discusses is a non-causal explanation that nicely fits the RS model. RS explanations constitutean important kind of non-causal scientific explanation. (shrink)

This paper argues that in some explanations mathematics are playing an explanatory rather than a representational role, and that this feature unifies many types of non-causal or non-mechanistic explanations that some philosophers of science have been recently exploring under various names. After showing how mathematics can play either a representational or an explanatory role by considering two alternative explanations of a same biological pattern—“Bergmann’s rule”—I offer an example of an explanation where the bulk of the explanatory job is done by (...) a mathematical theorem, and where mechanisms involved in the target systems are not explanatorily relevant. Then I account for the way mathematical properties may function in an explanatory way within an explanation by arguing that some mathematical propositions involving variables non directly referring to the target system features constitute constraints to which a whole class of systems should comply, provided they are describable by a mathematical object concerned by those propositions. According to such “constraint account”, those mathematical facts are directly entailing the explanandum, as a consequence of such constraints. I call those explanations “structural”, because here properties of mathematical structures are accounting for the explanandum; various kinds of mathematical structures thereby define various types of structural explanations. (shrink)

This article focuses on a case that expert practitioners count as an explanation: a mathematical account of Plateau’s laws for soap films. I argue that this example falls into a class of explanations that I call abstract explanations.explanations involve an appeal to a more abstract entity than the state of affairs being explained. I show that the abstract entity need not be causally relevant to the explanandum for its features to be explanatorily relevant. However, it remains unclear how to (...) unify abstract and causal explanations as instances of a single sort of thing. I conclude by examining the implications of the claim that explanations require objective dependence relations. If this claim is accepted, then there are several kinds of objective dependence relations. 1 Introduction2 A Case3 Abstract and Causal Explanations4 Recent Work on Mathematical Explanation5 Explanation and Dependence6 Conclusion. (shrink)

A recent article by Burch-Brown and Archer provides compelling arguments that biodiversity is either a natural kind or a pragmatically-valid scientific entity. I call into question three of these arguments. The first argument contends that biodiversity is a Homeostatic Property Cluster. I respond that there is no plausible homeostatic mechanism that would make biodiversity an HPC natural kind. The second argument proposes that biodiversity is a multiply-realizable functional kind. I respond that there is no shared function to ground this account. (...) The final, and strongest, argument, is that biodiversity is an ineliminable explanans and explanandum in various subdisciplines of biology. I argue that once we look at the details of the relevant research, not only does biodiversity in a broad sense not function in explanatory roles, but we must eliminate biodiversity in favor of more specific concepts in order to make sense of the leading explanations in contemporary ecology and conservation science. (shrink)

Are there genuine mathematical explanations of physical phenomena, and if so, how can mathematical theories, which are typically thought to concern abstract mathematical objects, explain contingent empirical matters? The answer, I argue, is in seeing an important range of mathematical explanations as structural explanations, where structural explanations explain a phenomenon by showing it to have been an inevitable consequence of the structural features instantiated in the physical system under consideration. Such explanations are best cast as deductive arguments which, by virtue (...) of their form, establish that, given the mathematical structure instantiated in the physical system under consideration, the explanandum had to occur. Against the claims of platonists such as Alan Baker and Mark Colyvan, I argue that formulating mathematical explanations as structural explanations in this way shows that we can accept that mathematics can play an indispensable explanatory role in empirical science without committing to the existence of any abstract mathematical objects. (shrink)

In this article, I will argue that while Marion’s criticism of Heidegger’s project of fundamental ontology is in many ways sound, Marion remains bound to the conceptual opposition that existential phenomenology has successfully overcome. Namely, I will argue that Marion remains dependent upon the transcendental dilemma according to which we must rely on the strict differentiation between explanans and explanandum. Marion sees no way of departing from Heidegger’s project other than reversing the order of explanation and switching the places (...) of the explanans and explanandum, which means that phenomena start appearing as explanans. I will demonstrate how existential phenomenology has overcome this conceptual dilemma, and then I will argue that we could make a much better account of saturated phenomena, if we ground our insights in the idea of being-in-the-world. (shrink)

Proponents of the so-called “interactive turn in social cognition research” maintain that mainstream research on social cognition has been fundamentally flawed by its neglect of social interaction, and that a new paradigm is needed in order to redress this shortcoming. We argue that proponents of the interactive turn (“interactionists”) have failed to properly substantiate their criticisms of existing research on social cognition. Although it is sometimes unclear precisely what these criticisms of existing theories are supposed to target, we sketch two (...) possibilities: interactionists can either accept the primary explanandum addressed by mainstream social cognition research—namely mindreading—and claim that interactionism contributes some hitherto neglected but necessary component of a successful explanans, or they can argue that mainstream research has focused on a misconceived explanandum. We argue that interactionist claims of both sorts are problematic. (shrink)

Ethical theory is an explanatory endeavor, but until recently relatively little attention has been paid to the question of what makes for an adequate ethical explanation. This chapter argues that like explanation generally, ethical explanation is relativized to a contrast space: it is not a two-place relation between an explanandum and an ethical theory, but a three-place relation involving a background framework that, among others things, specifies a contrast space. The chapter then draws two morals from this thesis. The (...) first is that ethical theorizing can be a morally problematic activity, even when it produces adequate explanations, if the contrast space it relies upon is itself morally questionable. The second is that some conflicts between ethical explanations are merely apparent and in fact reflect a difference in contrastive focus. -/- . (shrink)

This article introduces and defends a probabilistic measure of the explanatory power that a particular explanans has over its explanandum. To this end, we propose several intuitive, formal conditions of adequacy for an account of explanatory power. Then, we show that these conditions are uniquely satisfied by one particular probabilistic function. We proceed to strengthen the case for this measure of explanatory power by proving several theorems, all of which show that this measure neatly corresponds to our explanatory intuitions. (...) Finally, we briefly describe some promising future projects inspired by our account. (shrink)

The most compelling extant accounts of explanation casts all explanations as causal. Yet there are sciences, theoretical population biology in particular, that explain their phenomena by appeal to statistical, non-causal properties of ensembles. I develop a generalised account of explanation. An explanation serves two functions: metaphysical and cognitive. The metaphysical function is discharged by identifying a counterfactually robust invariance relation between explanans event and explanandum. The cognitive function is discharged by providing an appropriate description of this relation. I offer (...) examples of explanations from portfolio theory and population genetics that meet this characterisation. In each case the invariance relation holds between a statistical property of an ensemble and a change in structure of the ensemble. In neither case, however, does the statistical property cause the outcome it explains. There are genuine statistical, non-causal scientific explanations. (shrink)

It is often claimed that artificial society simulations contribute to the explanation of social phenomena. At the hand of a particular example, this paper argues that artificial societies often cannot provide full explanations, because their models are not or cannot be validated. Despite that, many feel that such simulations somehow contribute to our understanding. This paper tries to clarify this intuition by investigating whether artificial societies provide potential explanations. It is shown that these potential explanations, if they contribute to our (...) understanding, considerably differ from potential causal explanations. Instead of possible causal histories, simulations offer possible functional analyses of the explanandum . The paper discusses how these two kinds explanatory strategies differ, and how potential functional explanations can be appraised. (shrink)