The paper deals with the beginning and the main properties of the science of nature (he peri physeos historiê). According to Themistius (DK 12 A 7), the founder of this kind of Ionic philosophy is Anaximander of Miletus because he was the first who wrote about nature (especially a cosmography and a cosmogony) and developed three main principles of nature: 1. Nature has a mathematical structure (Arist. De coelo I3 295b10-14.32); 2. nature has a physical structure (DK 12 A 10-11); (...) and 3. nature follows natural laws (DK 12 A 9). The origin of this introduction lies in the prolongation of primitive expectations of constancy. It is especially argued that the shift from mythos to logos is characterized by the depersonalization of nature and the introduction of theoretical terms. In fact, the "apeiron" of Anaximander seems to be something similar to a theoretical term, because Anaximander seems to have realized that the explanans of nature cannot be one of its explananda like water (Thales) or air (Anaximenes). (shrink)

Two strong arguments have been given in favor of the claim that no selection process can play a role in explaining adaptations. According to the first argument, selection is a negative force; it may explain why the eliminated individuals are eliminated, but it does not explain why the ones that survived (or their offspring) have the traits they have. The second argument points out that the explanandum and the explanans are phenomena at different levels: selection is a population-level phenomenon, (...) whereas adaptation occurs on the individual level. Thus, selection can explain why individuals in a certain population have a certain trait, but it cannot explain why a certain indi- vidual has this trait. After pointing out that both arguments ignore the significance of the limitation of environmental resources, I will construe a positive argument for the claim that cumulative selection processes can, indeed, play a role in explaining adaptations. (shrink)

William Whewell’s 19th century philosophy of science is sometimes glossed over as a footnote to Kant. There is however a key feature of Whewell’s account worth noting. This is his appeal to Aristotle’s form/matter hylomorphism as a metaphor to explain how mind and world merge in successful scientific inquiry. Whewell’s hylomorphism suggests a middle way between rationalism and empiricism reminiscent of experience pragmatists like Steven Levine’s view that mind and world are entwined in experience. I argue however that Levine does (...) not adequately explain exactly how mind and world entwine. He could nonetheless do so if he appealed to Whewell’s hylomorphic metaphor. We may prefer a reductive metaphysical explanation, but I suggest that pragmatists only have recourse to metaphor in this case. Both reductive and metaphorical explanations can enjoy great explanatory power if they exhibit a suitable measure of what I will call sematic distance. Semantic distance measures how close or how far apart explanandum and explanans are from each other in meaning. Metaphorical explanation - as evident in Whewell’s hylomorphism and as detailed via the notion of semantic distance - presents a valuable new explanatory tool to those who hold that mind and world are entwined sans recourse to metaphysics. (shrink)

According to a widespread view in metaphysics and philosophy of science, all explanations involve relations of ontic dependence between the items appearing in the explanandum and the items appearing in the explanans. I argue that a family of mathematical cases, which I call “viewing-as explanations”, are incompatible with the Dependence Thesis. These cases, I claim, feature genuine explanations that aren’t supported by ontic dependence relations. Hence the thesis isn’t true in general. The first part of the paper defends this (...) claim and discusses its significance. The second part of the paper considers whether viewing-as explanations occur in the empirical sciences, focusing on the case of so-called fictional models. It’s sometimes suggested that fictional models can be explanatory even though they fail to represent actual worldly dependence relations. Whether or not such models explain, I suggest, depends on whether we think scientific explanations necessarily give information relevant to intervention and control. Finally, I argue that counterfactual approaches to explanation also have trouble accommodating viewing-as cases. (shrink)

The ontic conception of explanation is predicated on the proposition that “explanation is a relation between real objects in the world” and hence, according to this approach, scientific explanation cannot take place absent such a premise. Despite the fact that critics have emphasized several drawbacks of the ontic conception, as for example its inability to address the so-called “abstract explanations”, the debate is not settled and the ontic view can claim to capture cases of explanation that are non-abstract, such as (...) causal relations between events. However, by eliminating the distinction between abstract and non-abstract explanations, it follows that ontic and epistemic proposals can no longer contend to capture different cases of explanation and either all are captured by the ontic view or all are captured by the epistemic view. On closer inspection, it turns out that the ontic view deals with events that fall outside the scientists’ scope of observation and that it does not accommodate common instances of explanation such as explanations from false propositions and hence it cannot establish itself as the dominant philosophical stance with respect to explanation. On the contrary, the epistemic conception does account for almost all episodes of explanation and can be described as a relation between representations, whereby the explanans transmit information to the explanandum and that this information can come, dependent on context, in the form of any of the available theories of explanation (law-like, unificatory, causal and non-causal). The range of application of the ontic view thus is severely restricted to trivial cases of explanation that come through direct observation of the events involved in an explanation and explanation is to be mostly conceived epistemically. (shrink)

In a recent article, Erasmus, Brunet, and Fisher (2021) argue that Artificial Neural Networks (ANNs) are explainable. They survey four influential accounts of explanation: the Deductive-Nomological model, the Inductive-Statistical model, the Causal-Mechanical model, and the New-Mechanist model. They argue that, on each of these accounts, the features that make something an explanation is invariant with regard to the complexity of the explanans and the explanandum. Therefore, they conclude, the complexity of ANNs (and other Machine Learning models) does not make (...) them less explainable. In this reply, it is argued that Erasmus et al. left out one influential account of explanation from their discussion: the Unificationist model. It is argued that, on the Unificationist model, the features that makes something an explanation is sensitive to complexity. Therefore, on the Unificationist model, ANNs (and other Machine Learning models) are not explainable. It is emphasized that Erasmus et al.’s general strategy is correct. The literature on explainable Artificial Intelligence can benefit by drawing from philosophical accounts of explanation. However, philosophical accounts of explanation do not settle the problem of whether ANNs are explainable because they do not unanimously declare that explanation is invariant with regard to complexity. (shrink)

A far-reaching and influential view in evolutionary biology claims that species are cohesive units held together by gene flow. Biologists have recognized empirical problems facing this view; after sharpening the expression of the view, we present novel conceptual problems for it. At the heart of these problems is a distinction between two importantly different concepts of cohesion, what we call integrative and response cohesion. Acknowledging the distinction problematizes both the explanandum of species cohesion and the explanans of gene flow (...) that are central to the view we discuss. We conclude by tracing four broader implications for the study and conceptualization of species. (shrink)

Pettigrew offers new axiomatic constraints on legitimate measures of inaccuracy. His axiom called ‘Decomposition’ stipulates that legitimate measures of inaccuracy evaluate a credence function in part based on its level of calibration at a world. I argue that if calibration is valuable, as Pettigrew claims, then this fact is an explanandum for accuracy-rst epistemologists, not an explanans, for three reasons. First, the intuitive case for the importance of calibration isn’t as strong as Pettigrew believes. Second, calibration is a perniciously (...) global property that both contravenes Pettigrew’s own views about the nature of credence functions themselves and undercuts the achievements and ambitions of accuracy-rst epistemology. Finally, Decomposition introduces a new kind of value compatible with but separate from accuracy-proper in violation of Pettigrew’s alethic monism. introduction. (shrink)

The well-known formal semantics of conditionals due to Stalnaker Studies in logical theory, Blackwell, Oxford, 1968), Lewis, and Gärdenfors The logic and 1140 epistemology of scientific change, North-Holland, Amsterdam, 1978, Knowledge in flux, MIT Press, Cambridge, 1988) all fail to distinguish between trivially and nontrivially true indicative conditionals. This problem has been addressed by Rott :345–370, 1986) in terms of a strengthened Ramsey Test. In this paper, we refine Rott’s strengthened Ramsey Test and the corresponding analysis of explanatory relations. We (...) show that our final analysis captures the presumed asymmetry between explanans and explanandum much better than Rott’s original analysis. (shrink)

In this paper I defend an intermediate position between the ‘bare mathematical results’ view and the ‘transmission’ view of mathematical explanations of physical phenomena (MEPPs). I argue that, in MEPPs, it is not enough to deduce the explanandum from the generalizations cited in the explanans. Rather, we must add information regarding why those generalizations obtain. However, I also argue that it is not necessary to provide explanatory proofs of the mathematical theorems that represent those generalizations. I illustrate this with (...) the bridges of Königsberg case. -/- . (shrink)

Die Frage, was eine wissenschaftliche Erklärung ist, stellt seit mehr als einem halben Jahrhundert ein zentrales Thema der Wissenschaftsphilosophie dar. Die heutige Diskussion begann mit einer richtungsweisenden Arbeit von Carl Hempel im Jahre 1942 über den Erklärungsbegriff in der Geschichtswissenschaft. In dieser Arbeit gab Hempel, frühere Überlegungen von John Stuart Mill, Karl Popper und anderen präzisierend, eine formale Definition der Erklärung eines singulären Faktums.1 Mit seiner dem zugrunde liegenden Auffassung, dass die Wissenschaften sehr wohl in der Lage sind, Erklärungen zu (...) liefern, setzt sich Hempel ab von den zur damaligen Zeit vorherrschenden antimetaphysisch gestimmten Erklärungsskeptikern wie Pierre Duhem. Es ist jedoch wichtig zu betonen, dass Hempels Definition des Konzeptes der wissenschaftlichen Erklärung nicht wesentlich über das Deskriptive hinaus geht und damit auch und gerade von Empiristen akzeptiert werden kann. Bekanntlich versteht man unter einer Erklärung in Hempels Deduktiv-Nomologischen (D-N) Modell ein deduktiv gültiges Argument, zu dessen Prämisse (dem sog. Explanans) mindestens ein universelles Gesetz und eine Menge von singulären Sätzen gehört und dessen Konklusion das zu erklärende Faktum (das sog. Explanandum) ist. (shrink)

There is a long‐standing project in psychology the goal of which is to explain our ability to perceive speech. The project is motivated by evidence that seems to indicate that the cognitive processing to which speech sounds are subjected is somehow different from the normal processing employed in hearing. The Motor Theory of speech perception was proposed in the 1960s as an attempt to explain this specialness. The first part of this essay is concerned with the Motor Theory's explanandum. (...) It shows that it is rather hard to give a precise account of what the Motor Theory is a theory of. The second part of the essay identifies problems with the theory's explanans: There are difficulties in finding a plausible account of what the content of the Motor Theory is supposed to be. (shrink)

Recent years have seen increasing interest in interventionist analyses of metaphysical explanation. One area where interventionism traditionally shines, is in providing an account of explanatory depth; the sense in which explanation comes in degrees. However, the literature on metaphysical explanation has left the notion of depth almost entirely unexplored. In this paper I shall attempt to rectify this oversight by motivating an interventionist analysis of metaphysical explanatory depth (MED), in terms of the range of interventions under which a metaphysically explanatory (...) generalization remains invariant. After elucidating the notion through a toy-example, I demonstrate the important work which MED can perform in characterizing debate within contemporary metaphysics. Focusing upon rival approaches to explaining the identity and distinctness of concrete objects, I argue that the progress achieved in this debate can be characterized in terms of increasing explanatory depth. Having made an initial case for the utility of MED, I then turn this analysis to the metaphysics of explanation itself. By adopting an interventionist framework with respect to MED, I will show that we can assess the depth of competing theories of explanation. This application has two interesting results: first, it suggests that an interventionist analysis of explanation provides deeper explanations of the connection between explanans and explanandum than rival accounts; and second, it suggests that explanations provided by interventionism become deeper still, if one accepts that this methodology ranges over metaphysical, as well as causal, instances. (shrink)

This chapter describes the conceptual foundations of cognitive science during its establishment as a science in the 20th century. It is organized around the core ideas of individual agency as its basic explanans and information-processing as its basic explanandum. The latter consists of a package of ideas that provide a mathematico-engineering framework for the philosophical theory of materialism.

Abstract: Reflecting on the practice of being a Spinoza scholar and Spinozist in Trump's Pandemic America, I argue that we can find consolation in Spinoza's insistent norm -- to understand rather than to blame, to banish free will as explanans so we can fully understand the explanandum. Just as Boethius reflected on human misunderstanding of luck, so Spinoza teaches that we need, in moments of despair, to look not to superstition, but to the recognition of the causal forces that (...) yield our triumphs and failures, and to understand them. While we are unmoored in the chaos of Trump's America, in the joyful expression of popular emancipatory power in the Black Lives Matters mass demonstrations and marches through American cities and suburbs, and the nightly horror of demonstrators murdered by police, I reach back to another moment of chaos with liberatory and nightmarish potential -- the years just after the U.S. Civil War described in Leaves of Grass. We can find Spinozist moments in Whitman's poem and philosophical memoir -- a kind of American Spinozism. As he travels among the horrors and the new possibilities of American life, Whitman insists on seeing and feeling the world as it is -- terrible, wonderful, in all its fleshy imperfection, while finding hope in these same flawed particulars. In 2020, Trump's America, Spinoza and Spinozism are not just relevant, are not just consolations in the Boethian sense, but they are essential epistemic survival tools for a world quite obviously in motion. (shrink)

Studie má za cíl představit strukturu Hayekova evolucionismu. Argumentace postupuje v několika krocích: Východiskem je historicko- systematická expozice způsobu, jakým evoluční teorie ovlivnila Hayekovu filosofii, především s ohledem na periodizaci vývoje jeho myšlení a systematické odlišení explanans a explanandum v rámci jeho teorie vědy. Dále je rozebírán způsob, jakým Hayek rozvíjí svoji metodologii vědy. V této souvislosti je argumentováno ve prospěch teze, že Hayekovo pojetí metodologického dualismu je důsledkem ovlivnění evoluční teorií. Zároveň je evoluční teorie představena jako nástroj vysvětlení, (...) konkrétně pak tzv. vysvětlení vzorce. Následně je představeno Hayekovo pojetí společnosti v kontextu kulturní evoluce. Společnost je interpretována jako řád jednání a je kladen důraz na Hayekovo vnímání společnosti jako řádu vyvíjejícího se společně s lidskou myslí. Na základě těchto předpokladů je v poslední části rozvinuto Hayekovo pojetí mysli. Toto pojetí vychází z konekcionistické pozice. Dále argumentuji proti tradičnímu pohledu na Hayekovu filosofii jako rozvíjení Kantovy filosofie. Závěr rekapituluje základní body Hayekova evolucionismu. (shrink)

Neuroscientific claims have a significant impact on traditional philosophy. This essay, focusing on the field of moral neuroscience, discusses how and why philosophy can contribute to neuroscientific progress. First, viewing the interactions between moral neuroscience and moral philosophy, it becomes clear that moral philosophy can and does contribute to moral neuroscience in two ways: as explanandum and as explanans. Next, it is shown that moral philosophy is well suited to contribute to moral neuroscience in both of these two ways (...) in the context of the problem of ecological validity. Philosophy can play the role of an agent for ecological validity, since traditional philosophy shapes and reflects part of our social reality. Finally, based on these arguments, I tentatively sketch how a Kantian account of moral incentive can play this role. (shrink)

In Posterior Analytics II 16-17, Aristotle seems to claim that there cannot be more than one explanans of the same scientific explanandum. However, this seems to be true only for “primary-universal” demonstrations, in which the major term belongs to the minor “in itself” and the middle term is coextensive with the extremes. If so, several explananda we would like to admit as truly scientific would be out of the scope of an Aristotelian science. The secondary literature has identified a (...) second problem in II 16-17: the middle term of a demonstration is sometimes taken as the definition of the minor term (the subject), other times as the definition (or the causal part of the definition) of the major (the demonstrable attribute). I shall argue that Aristotle’s solution to the first problem involves showing that certain problematic attributes, which appear to admit more than one explanation, actually fall into the privileged scenario of primary-universal demonstrations. In addition, his solution suggests a conciliatory way-out to our second problem (or so I shall argue): the existence of an attribute as a definable unity depends on its subject having the essence it has, which suggests that both the essence of subjects and the essence of demonstrable attributes can play explanatory roles in demonstrations. (shrink)

Resumen -/- El objetivo de este trabajo consiste en analizar las relaciones entre los modelos de optimalidad y la selección natural. Defenderemos que esas relaciones pueden dividirse en dos tipos, en tanto hay dos tipos de explicaciones seleccionistas, que llamaremos “históricas” y “ahistóricas”. Las explicaciones históricas revelan como una población dada adquiere un rasgo que es adaptativo en ese ambiente e involucran muchas generaciones, variación, etc. Las explicaciones ahistóricas, explican por qué, en determinado momento, ciertos tipos de organismos tienen un (...) mayor éxito reproductivo que otros. Mostraremos que los modelos de optimalidad pueden jugar un rol en la determinación del explanandum de las explicaciones histórica seleccionistas, esto es, que ayudan a reconocer qué rasgos son adaptativos. Por otra parte, mostramos que los modelos de optimalidad nos permiten determinar a veces la parte del explanans de las explicaciones ahistóricas (particularmente, el concepto de fitness). -/- Abstract -/- The goal of this paper is to analyze the relations between optimality models and natural selection. We contend that these relationships can be divided into two kinds, as there are two kinds of natural selection explanations, which we call “historical” and “ahistorical”. Historical explanations reveal how a given population acquires a trait which is adaptive in its environment, and involves many generations, variations, etc. Ahistorical ones, explain why, at a given moment, certain kinds of organisms have a greater reproductive success than others. We show that optimality models can play a role in determining the explanandum of historical selectionist explanations, that is, they help us to recognize which traits are adaptive. And, on the other hand, that optimality models sometimes allow us to determine part of the explanans of ahistorical explanations (particularly, the concept of fitness). (shrink)

This is a translation, made by myself, of the paper to be published in Portuguese in the journal Discurso, 2020, in honour of the late professor Oswaldo Porchat. I discuss what Aristotle was trying to encode when he said that the object of scientific knowledge is necessary, or that what we know (scientifically) cannot be otherwise etc. The paper is meant as a continuation of previous papers—orientated towards a book on the Posterior Analytics—and thus does not discuss in much detail (...) key passages, as the very definition of scientific knowledge in APo I.2, or passages from APo I.4 and I.6 (for these, I refer to my previous papers). This paper is mainly focused on Aristotle’s references to his notion of scientific knowledge both in other passages from the APo and in other treatises. I intend to show that there is a progressive, intrinsic relation between the two requirements by which scientific knowledge is defined. It is not true that each of these requirements stems from a different source. The Causal-Explanatory requirements gives Aristotle the general heading. Then, the Necessity Requirement ranges over the explanatory relation between explanans and explanandum and thereby specifies what sort of cause is sctricly required for having scientific knowledge of a given explanandum. Now, Aristotle was also concerned with the necessary truth of the elemental predications that constitute a demonstration. My claim that the Necessity Requirement ranges over the explanatory relation does not ignore that concern, and does not deny it. My claim is that Aristotle’s main focus, and main concern, consists in stressing that the explanatory factor to be captured in scientific knowledge of a given explanandum is such that cannot be otherwise. (shrink)

El objetivo de este trabajo consiste en analizar las relaciones entre los modelos de optimalidad y la selección natural. Defenderemos que esas relaciones pueden dividirse en dos tipos, en tanto hay dos tipos de explicaciones seleccionistas, que llamaremos “históricas” y “ahistóricas”. Las explicaciones históricas revelan como una población dada adquiere un rasgo que es adaptativo en ese ambiente e involucran muchas generaciones, variación, etc. Las explicaciones ahistóricas, explican por qué, en determinado momento, ciertos tipos de organismos tienen un mayor éxito (...) reproductivo que otros. Mostraremos que los modelos de optimalidad pueden jugar un rol en la determinación del explanandum de las explicaciones histórica seleccionistas, esto es, que ayudan a reconocer qué rasgos son adaptativos. Por otra parte, mostramos que los modelos de optimalidad nos permiten determinar a veces la parte del explanans de las explicaciones ahistóricas (particularmente, el concepto de fitness). The goal of this paper is to analyze the relations between optimality models and natural selection. We contend that these relationships can be divided into two kinds, as there are two kinds of natural selection explanations, which we call “historical” and “ahistorical”. Historical explanations reveal how a given population acquires a trait which is adaptive in its environment, and involves many generations, variations, etc. Ahistorical ones, explain why, at a given moment, certain kinds of organisms have a greater reproductive success than others. We show that optimality models can play a role in determining the explanandum of historical selectionist explanations, that is, they help us to recognize which traits are adaptive. And, on the other hand, that optimality models sometimes allow us to determine part of the explanans of ahistorical explanations (particularly, the concept of fitness). (shrink)

In an explanation ‘y because x’, because can be used to express an explanatory relation between an explanandum ‘y’ and an explanans ‘x’. But because can also be used to express the speaker’s reason for uttering ‘y’. This difference will be elucidated by connecting it with the distinction between the at-issue dimension and the speaker dimension of meaning. There are also internal relations between if and because that can help us find and analyse different uses of because, and thus (...) also different types of explanatory relations. (shrink)

In this paper I defend the idea that there is a sense in which it is meaningful and useful to talk about objective understanding, and that to characterize that notion it is necessary to formulate an account of explanation that makes reference to the beliefs and epistemic goals of the participants in a cognitive enterprise. Using the framework for belief revision developed by Isaac Levi, I analyze the conditions that information must fulfill to be both potentially explanatory and epistemically valuable (...) to an inquiring agent and to a scientific community. To be potentially explanatory, the information must state the relations of probabilistic relevance that the explanans bares to the explanandum. But a potential explanation con only be a bona fide explanation if it becomes part of inquiry, that is, if an agent or a group of agents can see any value in it for their cognitive purposes. I provide a way to evaluate the epistemic value of a potential explanation as a function of its credibility and its informational content. (shrink)

Nos Segundos Analíticos I. 14, 79a16-21 Aristóteles afirma que as demonstrações matemáticas são expressas em silogismos de primeira figura. Apresento uma leitura da teoria da demonstração científica exposta nos Segundos Analíticos I (com maior ênfase nos capítulo 2-6) que seja consistente com o texto aristotélico e explique exemplos de demonstrações geométricas presentes no Corpus. Em termos gerais, defendo que a demonstração aristotélica é um procedimento de análise que explica um dado explanandum por meio da conversão de uma proposição previamente (...) estabelecida. Em uma estrutura silogística, a proposição previamente estabelecida é a premissa maior e o termo mediador deve ser comensurado ao explanandum. O conjunto da premissa maior e da premissa menor (o explanans) é coextensivo ao explanandum, mas há uma assimetria intensional entre o explanans e o explanandum, de modo que apenas o primeiro explique o último. Por fim, defendo que o elemento identificado no termo mediador deve ser o mais apropriado para explicar precisamente o que certo explanandum é. (shrink)

Neste trabalho, avaliamos as implicações que o debate filosófico acerca das explicações em termos de função e objetivo podem ter no contexto educacional, particularmente no ensino e aprendizagem de biologia. Para alcançar este objetivo, investigamos como três obras didáticas de biologia do Brasil utilizam a linguagem teleológica na formulação de explicações para os assuntos que são objeto de estudo dessa ciência. Na análise das obras, exploramos os enunciados teleológicos e funcionais a partir de dois projetos explanatórios discutidos na filosofia da (...) biologia contemporânea, a saber: (i) etiológico, que fornece uma abordagem essencialmente histórica de explicação biológica; e (ii) organizacional, que orienta o estudo acerca das capacidades de sistemas complexos mediante o apelo às funções de seus componentes, ou seja, a contribuição das partes para a realização de uma capacidade global. Nossos resultados mostram que poucas explicações podem ser qualificadas como etiológicas, em razão de que os autores preterem a discussão de temas segundo um tratamento evolutivo. Associado a esse resultado, a maioria dos enunciados foi localizada no contexto do projeto organizacional de explicação científica. Na análise das explicações, destacamos os principais problemas que elas apresentam, como a falta de clareza na identificação do explanandum e explanans, situação que pode prejudicar a compreensão dos assuntos pelos estudantes. Por fim, colocamos que a recontextualização das duas abordagens centrais sobre as explicações funcionais na filosofia da biologia, a perspectiva etiológica e a organizacional, podem fornecer um embasamento epistemológico consistente para as explicações biológicas no ensino médio. (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)

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)

This collection of essays explores the metaphysical thesis that the living world is not made up of substantial particles or things, as has often been assumed, but is rather constituted by processes. The biological domain is organised as an interdependent hierarchy of processes, which are stabilised and actively maintained at different timescales. Even entities that intuitively appear to be paradigms of things, such as organisms, are actually better understood as processes. Unlike previous attempts to articulate processual views of biology, which (...) have tended to use Alfred North Whitehead’s panpsychist metaphysics as a foundation, this book takes a naturalistic approach to metaphysics. It submits that the main motivations for replacing an ontology of substances with one of processes are to be found in the empirical findings of science. Biology provides compelling reasons for thinking that the living realm is fundamentally dynamic, and that the existence of things is always conditional on the existence of processes. The phenomenon of life cries out for theories that prioritise processes over things, and it suggests that the central explanandum of biology is not change but rather stability, or more precisely, stability attained through constant change. This edited volume brings together philosophers of science and metaphysicians interested in exploring the consequences of a processual philosophy of biology. The contributors draw on an extremely wide range of biological case studies, and employ a process perspective to cast new light on a number of traditional philosophical problems, such as identity, persistence, and individuality. (shrink)

A compelling idea holds that reality has a layered structure. We often disagree about what inhabits the bottom layer, but we agree that higher up we find chemical, biological, geological, psychological, sociological, economic, /etc./, entities: molecules, human beings, diamonds, mental states, cities, interest rates, and so on. How is this intuitive talk of a layered structure of entities to be understood? Traditionally, philosophers have proposed to understand layered structure in terms of either reduction or supervenience. But these traditional views face (...) well-known problems. A plausible alternative is that layered structure is to be explicated by appeal to explanations of a certain sort, termed / grounding explanations/. Grounding explanations tell us what obtains in virtue of what. Unfortunately, the use of grounding explanations to articulate the layered conception faces a problem, which I call /the collapse/. The collapse turns on the question of how to ground the facts stated by the explanations themselves. In this paper I make a suggestion about how to ground explanations that avoids the collapse. Briefly, the suggestion is that the fact stated by a grounding explanation is grounded in its /explanans/. (shrink)

Over the course of human history there appears to have been a global shift in moral values towards a broadly ‘liberal’ orientation. Huemer argues that this shift better accords with a realist than an antirealist metaethics: it is best explained by the discovery of mind-independent truths through intuition. In this article I argue, contra Huemer, that the historical data are better explained assuming the truth of moral antirealism. Realism does not fit the data as well as Huemer suggests, whereas antirealists (...) have underappreciated resources to explain the relevant historical dynamics. These resources include an appeal to socialization, to technological and economical convergences, to lessons learned from history, to changes induced by consistency reasoning and to the social function of moral norms in overcoming some of the cooperation problems that globalizing societies face. I point out that the realist’s explanans has multiple shortcomings, that the antirealist’s explanans has several explanatory virtues, and conclude that the latter provides a superior account of the historical shift towards liberal values. (shrink)

In recent years, the concept of evolvability has been gaining in prominence both within evolutionary developmental biology (evo-devo) and the broader field of evolutionary biology. Despite this, there remains considerable disagreement about what evolvability is. This article offers a solution to this problem. I argue that, in focusing too closely on the role played by evolvability as an explanandum in evo-devo, existing philosophical attempts to clarify the evolvability concept have been overly narrow. Within evolutionary biology more broadly, evolvability offers (...) a robust explanation for the evolutionary trajectories of populations. Evolvability is an abstract, robust, dispositional property of populations, which captures the joint causal influence of their internal features on the outcomes of evolution (as opposed to the causal influence of selection, which is often characterized as external). When considering the nature of the physical basis of this disposition, it becomes clear that the many existing definitions of evolvability at play within evo-devo should be understood as capturing only aspects of a much broader phenomenon. 1 Introduction2 The Problem of Evolvability3 The Theoretical Role of Evolvability in Evolutionary Biology3.1 The explanatory targets of evolutionary biology3.2 Selection-based explanations3.3 Lineage explanations3.4 Evolvability-based explanations3.5 What properties must evolvability have?4 What Evolvability Really Is4.1 Making sense of ft4.2 Making sense of x and b5 What of the Limbs? The Power of E6 Conclusion. (shrink)

The ontic conception of explanation, according to which explanations are "full-bodied things in the world," is fundamentally misguided. I argue instead for what I call the eikonic conception, according to which explanations are the product of an epistemic activity involving representations of the phenomena to be explained. What is explained in the first instance is a particular conceptualization of the explanandum phenomenon, contextualized within a given research program or explanatory project. I conclude that this eikonic conception has a number (...) of benefits, including making better sense of scientific practice and allowing for the full range of normative constraints on explanation. (shrink)

A number of philosophers have recently suggested that some abstract, plausibly non-causal and/or mathematical, explanations explain in a way that is radically dif- ferent from the way causal explanation explain. Namely, while causal explanations explain by providing information about causal dependence, allegedly some abstract explanations explain in a way tied to the independence of the explanandum from the microdetails, or causal laws, for example. We oppose this recent trend to regard abstractions as explanatory in some sui generis way, and (...) argue that a prominent ac- count of causal explanation can be naturally extended to capture explanations that radically abstract away from microphysical and causal-nomological details. To this end, we distinguish di erent senses in which an explanation can be more or less abstract, and analyse the connection between explanations’ abstractness and their explanatory power. According to our analysis abstract explanations have much in common with counterfactual causal explanations. (shrink)

Batterman and Rice ([2014]) argue that minimal models possess explanatory power that cannot be captured by what they call ‘common features’ approaches to explanation. Minimal models are explanatory, according to Batterman and Rice, not in virtue of accurately representing relevant features, but in virtue of answering three questions that provide a ‘story about why large classes of features are irrelevant to the explanandum phenomenon’ ([2014], p. 356). In this article, I argue, first, that a method (the renormalization group) they (...) propose to answer the three questions cannot answer them, at least not by itself. Second, I argue that answers to the three questions are unnecessary to account for the explanatoriness of their minimal models. Finally, I argue that a common features account, what I call the ‘generalized ontic conception of explanation’, can capture the explanatoriness of minimal models. (shrink)

When you have a conscious experience—such as feeling pain, watching the sunset, or thinking about your loved ones—are you aware of the experience as your own, even when you do not reflect on, think about, or attend to it? Let us say that an experience has “mineness” just in case its subject is aware of it as her own while she undergoes it. And let us call the view that all ordinary experiences have mineness “typicalism.” Recently, Guillot has offered a (...) novel argument for typicalism by leveraging the relation between self-knowledge and self-awareness. She starts by arguing that all ordinary experiences give their subjects immediate justification to believe that their experiences are their own. She then argues that this can be explained by typicalism. In this paper, I argue that her argument fails. I start by clarifying the notion of mineness and giving more details about her argument. I then explain why her argument fails by raising doubts about whether typicalism explains the target explanandum. I close by considering some implications of our discussion for self-knowledge. (shrink)

Can an identity be the proper subject of an explanation? A popular stance, albeit not one often argued for, gives a negative answer to this question. Building from a contentious passage from Jaegwon Kim in this direction, we reconstruct an argument to the conclusion that identities, to the extent in which they are necessary, cannot be explained. The notion of contrastive explanation, characterized as difference-seeking, will be crucial for this argument; however, we will eventually find the argument to be unsatisfactory. (...) On the contrary, the discussion provides enough resource to sketch a very simple framework for a non-causal contrastive explanation of identities. Many instances will be provided, with different varieties of explanans, ultimately suggesting that certain entailment or biconditional principles involving identities (first and foremost, so-called two-level identity criteria) may indeed be taken to have an inherent explanatory value. (shrink)

I argue that a certain type of naturalist should not accept a prominent version of the no-miracles argument (NMA). First, scientists (usually) do not accept explanations whose explanans-statements neither generate novel predictions nor unify apparently disparate established claims. Second, scientific realism (as it appears in the NMA) is an explanans that makes no new predictions and fails to unify disparate established claims. Third, many proponents of the NMA explicitly adopt a naturalism that forbids philosophy of science from using any methods (...) not employed by science itself. Therefore, such naturalistic philosophers of science should not accept the version of scientific realism that appears in the NMA. (shrink)

Theories of explanation need to account for a puzzling feature of our explanatory practices: the fact that we prefer explanations that are relatively abstract but only moderately so. Contra Franklin-Hall ([2016]), I argue that the interventionist account of explanation provides a natural and elegant explanation of this fact. By striking the right balance between specificity and generality, moderately abstract explanations optimally subserve what interventionists regard as the goal of explanation, namely identifying possible interventions that would have changed the explanandum.

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

I consider three explanatory strategies from recent systems biology that are driven by mathematics as much as mechanistic detail. Analysis of differential equations drives the first strategy; topological analysis of network motifs drives the second; mathematical theorems from control engineering drive the third. I also distinguish three abstraction types: aggregations, which simplify by condensing information; generalizations, which simplify by generalizing information; and structurations, which simplify by contextualizing information. Using a common explanandum as reference point—namely, the robust perfect adaptation of (...) chemotaxis in Escherichia coli—I argue that each strategy invokes a different combination of abstraction types and that each targets its abstractions to different mechanistic details. (shrink)

A hitherto neglected form of explanation is explored, especially its role in population genetics. “Statistically abstractive explanation” (SA explanation) mandates the suppression of factors probabilistically relevant to an explanandum when these factors are extraneous to the theoretical project being pursued. When these factors are suppressed, the explanandum is rendered uncertain. But this uncertainty traces to the theoretically constrained character of SA explanation, not to any real indeterminacy. Random genetic drift is an artifact of such uncertainty, and it is (...) therefore wrong to reify it as a cause of evolution or as a process in its own right. *Received July 2009. †To contact the author, please write to: Department of Philosophy, University of Toronto, 170 St. George St., Toronto, ON M5R 2M8, Canada; e‐mail: [email protected]. (shrink)

[What It’s Like, or What It’s About? The Place of Consciousness in the Material World] Summary: The book is both a survey of the contemporary debate and a defense of a distinctive position. Most philosophers nowadays assume that the focus of the philosophy of consciousness, its shared explanandum, is a certain property of experience variously called “phenomenal character,” “qualitative character,” “qualia” or “phenomenology,” understood in terms of what it is like to undergo the experience in question. Consciousness as defined (...) in terms of its phenomenal aspect is often called “phenomenal consciousness.” The major issue that occupies most thinkers is whether this phenomenal character happens to be a physical property, or whether it is rather sui generis. Those who believe the former are materialists; those who conclude the latter are dualists. As the currently dominant metaphysic is materialism – also sometimes called physicalism – the challenge appears to be to slot phenomenal properties among the physical properties that ultimately make up the world. David Chalmers argued powerfully that we can go very far in situating many mental properties in the physical world – namely, the properties that can be understood in functional terms – but that phenomenal properties resist such a treatment. Chalmers calls this “the hard problem” of consciousness. But there are also some quite powerful positive arguments for dualism. The two most influential ones are the modal argument, also offered by Chalmers, and the knowledge argument invented by Frank Jackson. Chalmers invites us to conceive of creatures that are exactly like human beings – physically, functionally, behaviorally – only bereft of phenomenal consciousness. If such creatures are conceivable, says Chalmers, they are metaphysically possible. And if they are metaphysically possible, materialism is false. Jackson, for his part, suggests we imagine Mary who has spent her entire life inside a black-and-white room and has seen the world through a black-and-white TV screen. But she also happens to know everything there is to know about the physics of color. And yet, Jackson suggests that once Mary is finally released from her room and sees a lawn outside, she learns something new: that this is what it is like to experience green color. The current work on consciousness is by and large characterized by attempts to answer these two dualistic arguments. I try to make sense of the positions within the domain of philosophy of consciousness by means of two major distinctions that mutually intersect. First, there is a distinction between dualism and materialism. An apparent third alternative currently on offer, the so-called Russellian monism, is unstable, collapsing into either dualism (panpsychism) or materialism (Russellian physicalism). Materialism comes in two main flavors: either the a posteriori physicalism, which detects an epistemic gap between phenomenal and physical truths, hence denying that the former could be derived from the latter; or the a priori physicalism, which does not acknowledge any such obstacle. The second major distinction is between phenomenism and representationalism. It’s true that Ned Block, who introduced this contrast, meant to distinguish between two kinds of materialism. But I believe that the distinction actually intersects the one between materialism and dualism. We thus arrive at a table with six slots, representing six main positions in the philosophy of consciousness: (1) dualist phenomenism (Chalmers, the early Jackson, and Tyler Burge); (2) dualist representationalism (René Descartes); (3) aposteriori materialist phenomenism (Block); (4) a posteriori materialist representationalism (Michael Tye, Fred Dretske, David Rosenthal); (5) a priori materialist phenomenism (David Lewis); and (6) a priori materialist representationalism (Daniel Dennett, Derk Pereboom). However, this scheme is in fact somewhat misleading. It is true that Dennett is usually classified as an apriori materialist (or, more precisely an apriori materialist representationalist), but I believe that needs to be corrected. In order to understand why, I first analyze varieties of materialist representationalism in detail, in particular various construals of phenomenal character in terms of representation, or intentionality, which includes a discussion of the identity of its content (the issue of externalism). By contrast, Dennett rejects the concept of phenomenal character. Consciousness has no intrinsic, publicly inaccessible properties. On that ground, Dennett builds an empirical, fully functionalist theory of consciousness, which he also tries to integrate within a general Darwinian framework. From that point of view, one can contrast Dennettian and representationalist views on the issue of animal consciousness. In addition to his rejection of phenomenal character, Dennett also abstains from the regular metaphysical departure point of regular materialism. He does not so much ask how an enigmatic property of consciousness fits an antecedently characterized world, but rather how far we can investigate all aspects of the world, including consciousness, using the scientific method. He is thus a methodological naturalist, rather than a metaphysical materialist. While this approach removes obstacles to the science of consciousness, it does not solve what might be called “the hardest problem” – of intentionality, not phenomenal consciousness. The hardest problem consists in the fact that our intentional discourse involves conflicting commitments that prevent a coherent metaphysic of representational states. However, it does not follow that we should give up on this discourse as a theoretical means of reduction as well as a practical tool of explanation. But it might be that intentional discourse is a somewhat pseudo one. (shrink)

Waters’s (2007) actual difference making and Weber’s (2013, 2017) biological normality approaches to causal selection have received many criticisms, some of which miss their target. Disagreement about whether Waters’s and Weber’s views succeed in providing criteria that uniquely singles out the gene as explanatorily significant in biology has led philosophers to overlook a prior problem. Before one can address whether Waters’s and Weber’s views successfully account for the explanatory significance of genes, one must ask whether either view satisfactorily meets the (...) necessary conditions for causal selection in the first place. An adequate defense of causal selection must meet two desiderata. First, there must be an explanatory property that sets some causes apart from others. Second, the property identified must be one that is recognized by biologists as relevant to their domain(s) of inquiry. I argue that both fall short of meeting the second condition. I demonstrate this by showing how many of the biological technologies crucial to experimentation do not fit either view very well. I offer a more adequate proposal that accommodates non-actual and artificial causal variables. A consequence of my view is the following: When analyzing the causal selection practices of biologists, philosophers should consider the explanatory targets relevant to a research program – including ones whose explanans must appeal to biological technologies. I then explain how this proposal can inform the existing debate between Weber (2017) and Griffiths et al. (2015). (shrink)

Higher-Order Representational theories of consciousness — HORs — primarily seek to explain a mental state’s being conscious in terms of the mental state’s being represented by another mental state. First-Order Representational theories of consciousness — FORs — primarily seek to explain a property’s being phenomenal in terms of the property being represented in experience. Despite differences in both explanans and explananda, HORs and FORs share a reliance on there being such a property as being represented. In this paper I develop (...) an argument — the Unicorn Argument — against both HORs and FORs. The core of the Unicorn is that since there are mental rep- resentations of things that do not exist, there cannot be any such prop- erty as being represented, and thus no such property with which to identify either being conscious or being phenomenal. (shrink)

Lange argues that some natural phenomena can be explained by appeal to mathematical, rather than natural, facts. In these “distinctively mathematical” explanations, the core explanatory facts are either modally stronger than facts about ordinary causal law or understood to be constitutive of the physical task or arrangement at issue. Craver and Povich argue that Lange’s account of DME fails to exclude certain “reversals”. Lange has replied that his account can avoid these directionality charges. Specifically, Lange argues that in legitimate DMEs, (...) but not in their “reversals,” the empirical fact appealed to in the explanation is “understood to be constitutive of the physical task or arrangement at issue” in the explanandum. I argue that Lange’s reply is unsatisfactory because it leaves the crucial notion of being “understood to be constitutive of the physical task or arrangement” obscure in ways that fail to block “reversals” except by an apparent ad hoc stipulation or by abandoning the reliance on understanding and instead accepting a strong realism about essence. (shrink)

Philosophers of psychology debate, among other things, which psychological models, if any, are (or provide) mechanistic explanations. This should seem a little strange given that there is rough consensus on the following two claims: 1) a mechanism is an organized collection of entities and activities that produces, underlies, or maintains a phenomenon, and 2) a mechanistic explanation describes, represents, or provides information about the mechanism producing, underlying, or maintaining the phenomenon to be explained (i.e. the explanandum phenomenon) (Bechtel and (...) Abrahamsen 2005; Craver 2007). If there is a rough consensus on what mechanisms are and that mechanistic explanations describe, represent, or provide information about them, then how is there no consensus on which psychological models are (or provide) mechanistic explanations? Surely the psychological models that are mechanistic explanations are the models that describe, represent, or provide information about mechanisms. That is true, of course; the trouble arises when determining what exactly that involves. Philosophical disagreement over which psychological models are mechanistic explanations is often disagreement about what it means to describe, represent, or provide information about a mechanism, among other things (Hochstein 2016; Levy 2013). In addition, one's position in this debate depends on a host of other seemingly arcane metaphysical issues, such as the nature of mechanisms, computational and functional properties (Piccinini 2016), and realization (Piccinini and Maley 2014), as well as the relation between models, methodologies, and explanations (Craver 2014; Levy 2013; Zednik 2015). Although I inevitably advocate a position, my primary aim in this chapter is to spell out all these relationships and canvas the positions that have been taken (or could be taken) with respect to mechanistic explanation in psychology, using dynamical systems models and cognitive models (or functional analyses) as examples. (shrink)

In previous work I have argued that talk about negative events should not be taken at face value: typically, what we are inclined to think of as a negative event (John’s failure to go jogging) is just an ordinary, positive event (his going to the movie instead); it is a positive event under a negative description. Here I consider more closely the difficulties that arise in those cases where no positive event seems available to do the job, as with putative (...) cases of causation by omission. In particular, I elaborate on Helen Beebee’s idea that not all causal explanations are reports of causation. When we mention John’s failure to turn off the gas as an explanans of why there was an explosion, we do not say what caused the explosion. We do not mention any of the relevant causes. We just remark that one sort of event that was supposed to occur, and whose occurrence would have prevented the explosion, did not in fact occur. (shrink)

Although many aspects of Inference to the Best Explanation have been extensively discussed, very little has so far been said about what it takes for a hypothesis to count as a rival explanatory hypothesis in the context of IBE. The primary aim of this article is to rectify this situation by arguing for a specific account of explanatory rivalry. On this account, explanatory rivals are complete explanations of a given explanandum. When explanatory rivals are conceived of in this way, (...) I argue that IBE is a more plausible and defensible rule of inference than it would otherwise be. The secondary aim of the article is to demonstrate the importance of accounts of explanatory rivalry by examining a prominent philosophical argument in which IBE is employed, viz. the so-called Ultimate Argument for scientific realism. In short, I argue that a well-known objection to the Ultimate Argument due to Arthur Fine fails in virtue of tacitly assuming an account of explanatory rivalry that we have independent reasons to reject. (shrink)

Creativity has received, and continues to receive, comparatively little analysis in philosophy and the brain and behavioural sciences. This is in spite of the importance of creative thought and action, and the many and varied resources of theories of mind. Here an alternative approach to analyzing creativity is suggested: start from the bottom up with minimally creative thought. Minimally creative thought depends non-accidentally upon agency, is novel relative to the acting agent, and could not have been tokened before the time (...) it is in fact tokened, relative to the agent in question. Thoughts that meet these three conditions—agency, psychological novelty, and modal—are what may be called cognitive breakthroughs. Even if such breakthroughs are not necessary to or definitive of richer creativity, they are indeed central to much of creativity. The minimal analysis provides a more workable explanandum for theories of creativity of varied motivation and method. (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)