. Nonreductive physicalism, as opposed to reductionism, enjoys wide popularity by virtue of being regarded as comporting with the traditional image of human beings as free and ontologically unique without the difficulties of mind-body dualism. A consideration of reasons, both good and bad, for which reductionism is rejected suggests instead that the move to nonreductive physicalism does nothing to mitigate the implications of a physicalist account of human nature.

We argue that any account of mental disorders that meets the desideratum of assigning causal efficacy to mental disorders faces the so-called “causal exclusion problem”. We argue that fully reductive accounts solve this problem but run into the problem of multiple realizability. Recently advocated symptom-network approaches avoid the problem of multiple realizability, but they also run into the causal exclusion problem. Based on a critical analysis of these accounts, we will present our own account according to which mental disorders are (...) dispositional properties that are token-identical to physical properties. More specifically, they are analyzed as dispositions to cause the specific set of symptoms. We argue that our account is not only able to account for multiple realizability without running into the causal exclusion problem, but that it also allows for the integration of very different factors into the description and explanation of mental disorders, such as neurological and neurochemical factors on the one side and social and cultural factors on the other. It thereby gives the psychiatric level of causal explanation autonomy while securing the causal efficacy of mental disorders in a causally closed physical world. (shrink)

In this paper, I wish to challenge theory-biased approaches to scientific knowledge, by arguing for a study of theorizing, as a cognitive activity, rather than of theories, as abstract structures independent from the agents’ understanding of them. Such a study implies taking into account scientists’ reasoning processes, and their representational practices. Here, I analyze the representational practices of geneticists in the 1910s, as a means of shedding light on the content of classical genetics. Most philosophical accounts of classical genetics fail (...) to distinguish between the purely genetic, or Mendelian level, and the cytological one. I distinguish between them by characterizing them in terms of their respective associated representational practices. I then present how the two levels were articulated within Morgan’s theory of crossing-over, and I describe the representational technique of linkage mapping, which embodies the “merging” of the Mendelian and cytological levels. I propose an analysis of the mapping scheme, as a means of enlightening the conceptual articulation of Mendelian and cytological hypotheses within classical genetics. Finally, I present the respective views of three opponents to Morgan in the 1910s, who had a different understanding of the articulation of cytology and Mendelism, and entertained different views concerning the role and proper interpretation of maps. I propose to consider these diverging perspectives as instantiating what I call different “versions” of classical genetics. (shrink)

At the core of anthropomorphism lies a false-positive cognitive bias to over-attribute the pattern of the human body and/or mind. Anthropomorphism is independently discussed in various disciplines, is presumed to have deep biological roots, but its cognitive bases are rarely explored in an integrative way. I present an inclusive, multifaceted interdisciplinary approach to refine the psychological bases of mental anthropomorphism. I have integrated 13 conceptual dissections of folk finalistic reasoning into four psychological inference systems (physical, design, basic-goal and belief stances); (...) the latter three are truly teleological and thus prone to anthropomorphisms. I then have empirically integrated the cross-disciplinary genetic, neural, cognitive, psychiatric, developmental, comparative and evolutionary/adaptive evidence that converge supporting the nature of the distinct stances. The over-reactive calibration of the three teleological systems is framed as an evolved design feature to avoid harmful ancestral contexts. Nowadays, these stances easily engage with scientific reasoning about bio-evolutionary matters with negative and positive consequences. Design, basic-goal, and belief stances benefit biology by providing cognitive foundations, expressing a high-powered explanatory system, promoting functional generalization, fostering new research questions and discoveries, enabling metaphorical/analogical thinking and explaining didactically with brevity. Hence, it is neither feasible nor advantageous to completely eliminate teleology from biology. Instead, we should engage with the eight classes of problems in bio-philosophy and bio-education that relate to the three stances: types of anthropomorphism, variety of misunderstandings, misleading appeal, legitimacy controversy, gateway to mysticism, total prohibition and its backfire effect. Recognizing the distinction among design, basic-goal, and belief stances helps to elucidate much of the logic underlying these issues, so that it enables a much more detailed taxonomy of anthropomorphisms, and organizes the various misunderstandings about evolution by natural selection. It also offers a solid psychological grounding for anchoring definitions and terminology. This tripartite framework also shed some light on how to better deal with the over-reactive stances in bio-education, by organizing previous pedagogical strategies and by suggesting new possibilities to be tested. Therefore, this framework constitutes a promising approach to advance the debate regarding the psychological underpinnings of anthropomorphisms and to further support regulating and clarifying teleology and anthropomorphism in biology. (shrink)

While medicine is solidly grounded on scientific areas such as biology and chemistry, some argue that it is in its essence not a science at all. With medicine playing a substantial societal role, addressing questions about the scientific nature of medicine is of obvious urgency. This paper takes on such a task and starts by consulting the literature on the “demarcation” problem in the philosophy of science. Learning from failures of earlier approaches, it proposes that we adopt a Deflated Approach, (...) which acknowledges that “science” is a family resemblance concept that admits differences of degrees to nonscientific undertakings. Then, drawing on Paul Hoyningen-Huene’s (Systematicity: The nature of science, Oxford University Press, Oxford, 2013); (Synthese 196: 907–928, 2019) account of systematicity and Alexander Bird’s (Synthese 196: 863–879, 2019) analysis of examples from the history of medicine, the paper argues that medicine meets the requirement for systematicity on all dimensions and thereby qualifies as a science. The paper then considers and defuses two objections. First, it is shown that nonepistemic differences linked to the distinctive duality of medicine do not warrant thinking that medicine is not science. Second, against some recent criticism (Oreskes in Synthese 196: 881–905, 2019), the paper uses homeopathy as an example to show that (synchronic and diachronic) systematicity can succeed as a demarcation criterion. (shrink)

According to the dominant computational approach in cognitive science, cognitive agents are digital computers; according to the alternative approach, they are dynamical systems. This target article attempts to articulate and support the dynamical hypothesis. The dynamical hypothesis has two major components: the nature hypothesis (cognitive agents are dynamical systems) and the knowledge hypothesis (cognitive agents can be understood dynamically). A wide range of objections to this hypothesis can be rebutted. The conclusion is that cognitive systems may well be dynamical systems, (...) and only sustained empirical research in cognitive science will determine the extent to which that is true. (shrink)

It is argued that the hard problem of consciousness, i.e. the fact that we have experience, stems from a conceptual confusion between consciousness and experience. It is concluded that experience has to be considered as a basic characteristic of ongoing interactions at even the most simple level, while consciousness is better defined as reflexive awareness, possible since symbolic language was developed. A dynamic evolutionary point of view is proposed to make more appropriate distinctions between experience, awareness and consciousness. Experience can (...) be defined as a characteristic linked closely to specific pattern matching, a characteristic which is already apparent at the molecular level at least. Awareness then can be regarded as the special experience of one or more central, final modules in the animal neuronal brain. From evolutionary considerations, awareness can be understood functionally and physiologically. As such, awareness is what experience is to animals. Finally, consciousness could be defined as reflexive awareness, instead of using the term as synonymous to awareness. The ability for reflexive awareness is distinctly different from animal and human awareness and depends upon the availability of a separate frame of reference, as provided by symbolic language. As such, words have made reflexive awareness - a specific and infrequent form of awareness - possible. Conciousness might be defined as the experience evoked by considering, i.e. thinking about experiences themselves. Explaining and understanding awareness and consciousness as evolved biological characteristics of the functioning of animals and later humans, poses no philosophical problems. The nature of experience itself remains elusive, but this is not a problem specific toawareness or consciousness. If there is a hard problem of explaining consciousness, than this actually must be considered as the hard problem of explaining experience. While the definition of experience could be broadened to include all molecular and biological pattern specific recognition events, the true nature of consciousness might be better understood when considering it as a very specific form of awareness, made possible by language. (shrink)

Si bien en la filosofía de las ciencias ya se han explorado algunos ejemplos provenientes de la bioquímica como casos de estudio, la filosofía de la bioquímica es una subdisciplina naciente. En este artículo estudiaremos dos problemas filosóficos de relevancia contemporánea en esta ciencia. Por un lado, examinaremos las bases epistemológicas del problema del plegamiento de proteínas. En particular lo relacionado con la predicción de la estructura tridimensional de las proteínas a partir de su secuencia, asunto que ha dado mucho (...) que hablar debido a los nuevos avances utilizando deep learning. Por otro lado, exploraremos el problema in-vitro/in-vivo y, más generalmente, el problema de la extrapolación en las ciencias biológicas. Finalmente, a partir de las consecuencias de ambos temas consideraremos algunas reflexiones filosóficas generales acerca del reduccionismo, el pluralismo y el lugar de la bioquímica en las ciencias biológicas. Palabras clave: Bioquímica, Plegamiento de proteínas, In-vitro/in-vivo, Pluralismo, Reduccionismo. (shrink)

hilosophy of history and history of philosophy of science make for an interesting case of “mutual containment”: the former is an object of inquiry for the latter, and the latter is subject to the demands of the former. This article discusses a seminal turn in past philosophy of history with an eye to the practice of historians of philosophy of science. The narrative turn by Danto and Mink represents both a liberation for historians and a new challenge to the objectivity (...) of their findings. I will claim that good sense can be made of “working historical veins of possibility” (contrary to how the phrase was originally intended) and that already Danto and Mink provided materials (although they did not quite advertise them as such) to assuage fears of a constructivist free-for-all. (shrink)

Notoriously, the dispositional view of natural properties is thought to face a number of regress problems, one of which points to an epistemological worry. In this paper, I argue that the rival categorical view is also susceptible to the same kind of regress problem. This problem can be overcome, most plausibly, with the development of a structuralist epistemology. After identifying problems faced by alternative solutions, I sketch the main features of this structuralist epistemological approach, referring to graph-theoretic modelling in the (...) process. Given that both the categoricalists and dispositionalists are under pressure to adopt this same epistemological approach in light of the regress problem, this suggests that the categoricalist versus dispositionalist debate is best fought on metaphysical rather than epistemological grounds. (shrink)

RÉSUMÉ: La pragmatique et la sémantique de l’historiographie révèlent une fragmentation croissante qui s’étend par-delà les écoles jusqu’aux historiens individuels. Alors que les scientifiques normalisent les données pour qu’elles s’ajustent aux théories, les historiens interprètent leurs théories, de manières incompatibles entre elles, pour qu’elles s’ajustent aux différents cas historiques. Les difficultés qui en découlent dans la communication historiographique remettent en cause les philosophies herméneutiques de l’historiographie et redonnent un nouvel intérêt à la question d’une historiographie scientifique. Mais les réponses existantes (...) sont philosophiquement obsolètes. Une façon de reformuler le problème est de partir de la complexité du chaos et de l’unicité de l’histoire. Seule la science peut évaluer si les propriétés d’un domaine donné en interdisent une approche scientifique. Or la science s’étend par réductions méthodologiques explicatives, en ramenant des propriétés d’événements complexes, chaotiques et uniques, qui sont familières, mais d’un niveau plus élevé, à des propriétés ou interrelations non familières et d’un niveau moins élevé. La culture disciplinaire de l’historiographie, cependant, empêche le développement par essais et erreurs de telles tentatives de réductions scientifiques, qui seules permettraient d’évaluer les possibilités d’une historiographie scientifique, laquelle, dans la situation présente, relève de la science-fiction. (shrink)

In cognitive science, the dynamical systems theory (DST) has recently been advocated as an approach to cognitive modeling that is better suited to the dynamics of cognitive processes than the symbolic/computational approaches are. Often, the differences between DST and the symbolic/computational approach are emphasized. However, alternatively their commonalities can be analyzed and a unifying framework can be sought. In this paper, the possibility of such a unifying perspective on dynamics is analyzed. The analysis covers dynamics in cognitive disciplines, as well (...) as in physics, mathematics and computer science. The unifying perspective warrants the development of integrated approaches covering both DST aspects and symbolic/computational aspects. The concept of a state-determined system, which is based on the assumption that properties of a given state fully determine the properties of future states, lies at the heart of DST. Taking this assumption as a premise, the explanatory problem of dynamics is analyzed in more detail. The analysis of four cases within different disciplines (cognitive science, physics, mathematics, computer science) shows how in history this perspective led to numerous often used concepts within them. In cognitive science, the concepts desire and intention were introduced, and in classical mechanics the concepts momentum, energy and force. Similarly, in mathematics a number of concepts have been developed to formalize the state-determined system assumption [e.g. derivatives (of different orders) of a function, Taylor approximations]. Furthermore, transition systems - a currently popular format for specification of dynamical systems within computer science - can also be interpreted from this perspective. One of the main contributions of the paper is that the case studies provide a unified view on the explanation of dynamics across the chosen disciplines. All approaches to dynamics analyzed in this paper share the state-determined system assumption and the (explicit or implicit) use of anticipatory state properties. Within cognitive science, realism is one of the problems identified for the symbolic/computational approach - i.e. how do internal states described by symbols relate to the real world in a natural manner. As DST is proposed as an alternative to the symbolic/computational approach, a natural question is whether, for DST, realism of the states can be better guaranteed. As a second main contribution, the paper provides an evaluation of DST compared to the symbolic/computational approach, which shows that, in this respect (i.e. for the realism problem), DST does not provide a better solution than the other approaches. This shows that DST and the symbolic/computational approach not only have the state-determined system assumption and the use of anticipatory state properties in common, but also the realism problem. (shrink)

Call a bit of scientific discourse a description of a missing system when (i) it has the surface appearance of an accurate description of an actual, concrete system (or kind of system) from the domain of inquiry, but (ii) there are no actual, concrete systems in the world around us fitting the description it contains, and (iii) that fact is recognised from the outset by competent practitioners of the scientific discipline in question. Scientific textbooks, classroom lectures, and journal articles abound (...) with such passages; and there is a widespread practice of talking and thinking as though there are systems which fit the descriptions they contain perfectly, despite the recognition that no actual, concrete systems do so—call this the face value practice. There are, furthermore, many instances in which philosophers engage in the face value practice whilst offering answers to epistemological and methodological questions about the sciences. Three questions, then: (1) How should we interpret descriptions of missing systems? (2) How should we make sense of the face value practice? (3) Is there a set of plausible answers to (1) and (2) which legitimates reliance on the face value practice in our philosophical work, and can support the weight of the accounts which are entangled with that practice? In this paper I address these questions by considering three answers to the first: that descriptions of missing systems are straightforward descriptions of abstract objects, that they are indirect descriptions of “property-containing” abstracta, and that they are (in a different way) indirect descriptions of mathematical structures. All three proposals are present in the literature, but I find them wanting. The result is to highlight the importance of developing a satisfactory understanding of descriptions of missing systems and the face value practice, to put pressure on philosophical accounts which rely on the practice, and to help us assess the viability of certain approaches to thinking about models, theory structure, and scientific representation. (shrink)

Several important analyses of the structure of evolutionary explanation have explicitly or implicitly required that historical laws be among the explanans statements. The required historical laws take the form of a generalization which relates some property or event to a developmental sequence of properties or events. The thesis of this paper is that historical laws of this kind are precluded by modern biological theory and, hence, analysis of evolutionary explanation within modern biology that require such laws are defective.

Mechanistic explanation is at present the received view of scientific explanation. One of its central features is the idea that mechanistic explanations are both “downward looking” and “upward looking”: they explain by offering information about the internal constitution of the mechanism as well as the larger environment in which the mechanism is situated. That is, they offer both constitutive and contextual explanatory information. Adequate mechanistic explanations, on this view, accommodate the full range of explanatory factors both “above” and “below” the (...) target phenomenon. The aim of this paper is to demonstrate that mechanistic explanation cannot furnish both constitutive and contextual information simultaneously, because these are different types of explanation with distinctly different aims. Claims that they can, I argue, depend on several intertwined confusions concerning the nature of explanation. Particularly, such claims tend to conflate mechanistic and functional explanation, which I argue ought to be understood as distinct. Conflating them threatens to oversell the explanatory power of mechanisms and obscures the means by which they explain. I offer two broad reasons in favor of distinguishing mechanistic and functional explanation: the first concerns the direction of explanation of each, and the second concerns the type of questions to which these explanations offer answers. I suggest an alternative picture on which mechanistic explanation is understood as fundamentally constitutive, and according to which an adequate understanding of a phenomenon typically requires supplementing the mechanistic explanation with a functional explanation. (shrink)

In recent years, many philosophers of science have attempted to articulate a theory of non-epistemic emergence that is compatible with mechanistic explanation and incompatible with reductionism. The 2005 account of Fred C. Boogerd et al. has been particularly influential. They argued that a systemic property was emergent if it could not be predicted from the behaviour of less complex systems. Here, I argue that Boogerd et al.'s attempt to ground emergence in complexity guarantees that we will see emergence, but at (...) the cost of rendering it either trivial or epistemic. There are three basic problems. First, neither the measures of complexity explicitly mentioned by Boogerd et al. nor the most popular measures in the literature can do the practical and theoretical work that they assign to complexity. Second, I argue that while the success of their view depends on restricting the base of information available to the reductionist, this cannot be done in a way that is metaphysically neutral with respect to emer.. (shrink)

“The Explanatory Gap” is a label for the idea that we cannot explain consciousness in terms of brain activity. There are many different formulations of the explanatory gap, but all discussion about it assumes that there is only one gap, which consists of the absence of a deductive explanation. This assumption is mistaken. In this paper, I show that the position that deductive explanation is privileged in this case is unmotivated. I argue that whether or not there is an explanatory (...) gap depends on the kind of explanation in question, so there is no single, unified explanatory gap but only the absence and (perhaps) presence of different sorts of explanation. (shrink)

That laws of nature play a vital role in explanation, prediction, and inductive inference is far clearer than the nature of the laws themselves. My hope here is to shed some light on the nature of natural laws by developing and defending the view that they involve genuine relations between properties. Such a position is suggested by Plato, and more recent versions have been sketched by several writers.~ But I am not happy with any of these accounts, not so much (...) because they lack detail or engender minor difficulties, though they do, but because they share a quite fundamental defect. My goal here is to make this defect clear and, more importantly, to present a rather different version of this general conception of laws that avoids it. I begin by considering several features of natural laws and argue that these are best explained by the view that laws involve properties, that this involvement takes the form of a genuine relation between properties, and, finally, that the relation is a metaphysically necessary one. In the second section I start at the other end, and by reflecting on the nature of properties arrive at a similar account of natural laws. In the final section I develop this account in more detail, with emphasis on the nature of the relation between properties it invokes. Along the way several natural objections to the account are answered. (shrink)

“The Strong Programme” is put forward as a metaphysical theory of sociology by the Edinburgh School (SSK) to study the social causes of knowledge. Barry Barnes and David Bloor are the proponents of the School. They call their programme “the Relativist View of Knowledge” and argue against rationalism in the philosophy of science. Does their relativist account of knowledge present a serious challenge to rationalism, which has dominated 20th century philosophy of science? I attempt to answer this question by criticizing (...) the main ideas of SSK and defending rationalism theories in modern philosophy of science. (shrink)

Descriptive accounts of the nature of explanation in neuroscience and the global goals of such explanation have recently proliferated in the philosophy of neuroscience and with them new understandings of the experimental practices of neuroscientists have emerged. In this paper, I consider two models of such practices; one that takes them to be reductive; another that takes them to be integrative. I investigate those areas of the neuroscience of learning and memory from which the examples used to substantiate these models (...) are culled, and argue that the multiplicity of experimental protocols used in these research areas presents specific challenges for both models. In my view, these challenges have been overlooked largely because philosophers have hitherto failed to pay sufficient attention to fundamental features of experimental practice. I demonstrate that when we do pay attention to such features, evidence for reduction and integrative unity in neuroscience is simply not borne out. I end by suggesting some new directions for the philosophy of neuroscience that pertain to taking a closer look at the nature of neuroscientific experiments. (shrink)

In this article, I explain why stabilizing constructs is important to the success of the Research Domain Criteria Project and identify one measure for facilitating such stability.

This paper offers a critique of an account of explanatory integration that claims that explanations of cognitive capacities by functional analyses and mechanistic explanations can be seamlessly integrated. It is shown that achieving such explanatory integration requires that the terms designating cognitive capacities in the two forms of explanation are stable but that experimental practice in the mind-brain sciences currently is not directed at achieving such stability. A positive proposal for changing experimental practice so as to promote such stability is (...) put forward and its implications for explanatory integration are briefly considered. (shrink)

Taking my departure from the discussion of the concept of understanding in contemporary epistemology, I will suggest that we need to fine-tune the concept of explanatory understanding in order to c...

This paper considers a central objection to evolutionary epistemology. The objection is that biological and epistemic development are not analogous, since while biological variation is blind, epistemic variation is not. The generation of hypotheses, unlike the generation of genotypes, is not random. We argue that this objection is misguided and show how the central analogy of evolutionary epistemology can be preserved. The core of our reply is that much epistemic variation is indeed directed by heuristics, but these heuristics are analogous (...) to biological preadaptations which account for the evolution of complex organs. We also argue that many of these heuristics or epistemic preadaptations are not innate but were themselves generatedby a process of blind variation and selective retention. (shrink)

: The increasing attention on experiment in the last two decades has led to important insights into its material, cultural and social dimensions. However, the role of experiment as a tool for generating knowledge has been comparatively poorly studied. What questions are asked in experimental research? How are they treated and eventually resolved? And how do questions, epistemic situations, and experimental activity cohere and shape each other? In my paper, I treat these problems on the basis of detailed studies of (...) research practice. After presenting several cases from the history of electricity—Dufay, Ampère, and Faraday—I discuss a specific type of experiment—the "exploratory experiment"—and analyze how it works in concept formation. I argue that a fuller understanding of experiment can only be achieved by intertwining historical and philosophical perspectives in such a way that the very separation of the two become questioable. (shrink)

Certain characteristics make machine learning a powerful tool for processing large amounts of data, and also particularly unsuitable for explanatory purposes. There are worries that its increasing use in science may sideline the explanatory goals of research. We analyze the key characteristics of ML that might have implications for the future directions in scientific research: epistemic opacity and the ‘theory-agnostic’ modeling. These characteristics are further analyzed in a comparison of ML with the traditional statistical methods, in order to demonstrate what (...) it is specifically that makes ML methodology substantially unsuitable for reaching explanations. The analysis is given broader philosophical context by connecting it with the views on the role of prediction and explanation in science, their relationship, and the value of explanation. We proceed to show, first, that ML disrupts the relationship between prediction and explanation commonly understood as a functional relationship. Then we show that the value of explanation is not exhausted in purely predictive functions, but rather has a ubiquitously recognized value for both science and everyday life. We then invoke two hypothetical scenarios with different degrees of automatization of science, which help test our intuitions on the role of explanation in science. The main question we address is whether ML will reorient or otherwise impact our standard explanatory practice. We conclude with a prognosis that ML would diversify science into purely predictively oriented research based on ML-like techniques and, on the other hand, remaining faithful to anthropocentric research focused on the search for explanation. (shrink)

When it comes to the question of what kind of moral claim an intelligent or autonomous machine might have, one way to answer this is by way of comparison with humans: Is there a fundamental difference between humans and other entities? If so, on what basis, and what are the implications for science and ethics? This question is inherently imprecise, however, because it presupposes that we can readily determine what it means for two types of entities to be sufficiently different—what (...) I will refer to as being “discontinuous”. In this paper, I will sketch a formal characterization of what it means for types of entities to be unique with regard to each other. This expands upon Bruce Mazlish’s initial formulation of what he terms a continuity between humans and machines, Alan Turing’s epistemological approach to the question of machine intelligence, and Sigmund Freud’s notion of scientific revolutions dealing blows to the self-esteem of mankind. I will discuss on what basis we should regard entities as (dis-)continuous, the corresponding moral and scientific implications, as well as an important difference between what I term downgrading and upgrading continuities—a dramatic difference in how two previously discontinuous types of entities might become continuous. All of this will be phrased in terms of which scientific levels of explanation we need to presuppose, in principle or in practice, when we seek to explain a given type of entity. The ultimate purpose is to provide a framework that defines which questions we need to ask if we argue that two types of entities ought (not) to be explained (hence treated) in the same manner, as well as what it takes to reconsider scientific and ethical hierarchies imposed on the natural and artificial world. (shrink)

In order to expound and defend the intentionalist thesis that human actions are intentionally determined by persons, selves, or agents themselves I first argue that teleological explanation, even though it is consistent with physicalism and scientifically respectable in the sense of being an attempt to establish the conditions under which things and events occur and to formulate laws that express such dependencies, is not exactly coordinate with and replaceable by mechanistic explanation. Then, I argue that living human beings must be (...) seen as teleological systems relative to the purposes and goals of intentional activities even though the human body may come as close as possible to being a mechanistic system relative to physical responses and electro-chemical-mechanical movements on the basis of certain insights drawn from Wittgenstein's works. Finally, I expound and defend a very strong version of the intentionalist thesis drawn from C. A. Campbell's 'Is “Freewill”; a Pseudo-Problem?' [5], and criticize an influential argument against this view which is due to C. D. Broad, 'Determinism, Indeterminism, and Libertarianism' [3]. (shrink)

. The question of whether or not our universe is deterministic remains of interest to both scientists and theologians. In this essay I argue that this question can be solved only by metaphysical decision and that no scientific evidence for either determinism or indeterminism will ever be conclusive. No finite being, no matter how powerful its cognitive abilities, will ever be able to establish the deterministic nature of the universe. The only being that would be capable of doing so would (...) be one that is at once transcendent and immanent. Such a being is compatible with the God of the Christian tradition, which yields that a deterministic worldview is compatible with a deterministic worldview. A more important point is that because science is never able to establish the determinism of our universe, it can never definitely rule out divine action except on metaphysical grounds. (shrink)

The world contains many different types of ecosystems. This is something of a commonplace in biology and conservation science. But there has been little attention to the question of whether such ecosystem types enjoy a degree of objectivity—whether they might be natural kinds. I argue that traditional accounts of natural kinds that emphasize nomic or causal–mechanistic dimensions of “kindhood” are ill-equipped to accommodate presumptive ecosystemic kinds. In particular, unlike many other kinds, ecosystemic kinds are “anchored” to the contingent character of (...) species and higher taxa and their abiotic environments. Drawing on Slater (Br J Philos Sci 66(2):375–411, 2015a), I show how we can nevertheless make room for such contingent anchoring in an account of natural kinds of ecosystems kinds. (shrink)

Karl Mannheim's contribution to a conceptual framework towards establishing objective knowledge in the social sciences has been overlooked and neglected. The paper discusses and reevaluates particularly Mannheim's concept of relationism which he used for clarifying the possibility of a "dynamic synthesis of perspectives" as the task of sociology of knowledge. One of the functions of Mannheim's conceptual framework was to narrow the gap between the techno-scientific or empiricist paradigm of knowledge and the humanistic-hermeneutical paradigm by a set of mediations which (...) shifted the emphasis from facts to the way of looking at them through concepts and terms which are never purely experiential, i.e. independent of interpretation. The author stresses the epistemological fertility of the relationist model of truth in view of recent insights of sociology of science. (shrink)

Simple assumptions represent a decisive reason to prefer one theory to another in everyday scientific praxis. But this praxis has little philosophical justification, since there exist many notions of simplicity, and those that can be defined precisely strongly depend on the language in which the theory is formulated. The language dependence is a natural feature—to some extent—but it is also believed to be a fatal problem, because, according to a common general argument, the simplicity of a theory is always trivial (...) in a suitably chosen language. But, this trivialization argument is typically either applied to toy-models of scientific theories or applied with little regard for the empirical content of the theory. This paper shows that the trivialization argument fails, when one considers realistic theories and requires their empirical content to be preserved . In fact, the concepts that enable a very simple formulation, are not necessarily measurable, in general. Moreover, the inspection of a theory describing a chaotic billiard shows that precisely those concepts that naturally make the theory extremely simple are provably not measurable. This suggests that—whenever a theory possesses sufficiently complex consequences—the constraint of measurability prevents too simple formulations in any language. This explains why the scientists often regard their assessments of simplicity as largely unambiguous. In order to reveal a cultural bias in the scientists’ assessment, one should explicitly identify different characterizations of simplicity of the assumptions that lead to different theory selections. General arguments are not sufficient. (shrink)

The structure-mapping theory has become the de-facto standard account of analogies in cognitive science and philosophy of science. In this paper I propose a distinction between two kinds of domains and I show how the account of analogies based on structure-preserving mappings fails in certain (object-rich) domains, which are very common in mathematics, and how the axiomatic approach to analogies, which is based on a common linguistic description of the analogs in terms of laws or axioms, can be used successfully (...) to explicate analogies of this kind. Thus, the two accounts of analogies should be regarded as complementary, since each of them is adequate for explicating analogies that are drawn between different kinds of domains. In addition, I illustrate how the account of analogies based on axioms has also considerable practical advantages, e. g., for the discovery of new analogies. (shrink)

Function and teleology can be naturalized either by reference to systems with a particular type of organization or by reference to a particular kind of history. As functions are generally ascribed to states or traits according to their current role and regardless of their origin, etiological accounts are inappropriate. Here, I offer a systems-theoretical interpretation as a new version of an organizational account of functionality, which is more comprehensive than traditional cybernetic views and provides explicit criteria for empirically testable function (...) ascriptions. I propose, that functional states, traits or items are those components of a complex system, which are under certain circumstances necessary for their self-re-production. I show, how this notion can be applied in intra- and trans-generational function ascriptions in biology, how it can deal with the problems of multifunctionality and functional equivalents, and how it relates to concepts like fitness and adaptation. Finally, I argue that most intentional explanations can be treated as functional explanations. (shrink)

In this paper, I propose two theses, and then examine what the consequences of those theses are for discussions of reduction and emergence. The first thesis is that what have traditionally been seen as robust, reductions of one theory or one branch of science by another more fundamental one are a largely a myth. Although there are such reductions in the physical sciences, they are quite rare, and depend on special requirements. In the biological sciences, these prima facie sweeping reductions (...) fade away, like the body of the famous Cheshire cat, leaving only a smile.... The second thesis is that the "smiles" are fragmentary patchy explanations, and though patchy and fragmentary, they are very important, potentially Nobel-prize winning advances. To get the best grasp of these "smiles," I want to argue that, we need to return to the roots of discussions and analyses of scientific explanation more generally, and not focus mainly on reduction models, though three conditions based on earlier reduction models are retained in the present analysis. I briefly review the scientific explanation literature as it relates to reduction, and then offer my account of explanation. The account of scientific explanation I present is one I have discussed before, but in this paper I try to simplify it, and characterize it as involving field elements and a preferred causal model system abbreviated as FE and PCMS. In an important sense, this FE and PCMS analysis locates an "explanation" in a typical scientific research article. This FE and PCMS account is illustrated using a recent set of neurogenetic papers on two kinds of worm foraging behaviors: solitary and social feeding. One of the preferred model systems from a 2002 Nature article in this set is used to exemplify the FE and PCMS analysis, which is shown to have both reductive and nonreductive aspects. The paper closes with a brief discussion of how this FE and PCMS approach differs from and is congruent with Bickle's "ruthless reductionism" and the recently revived mechanistic philosophy of science of Machamer, Darden, and Craver. (shrink)

We argue in this paper that so-called new wave reductionism fails to capture the nature of the interlevel relations between psychology and neuroscience. Bickle (1995, Psychoneural reduction of the genuinely cognitive: some accomplished facts, Philosophical Psychology, 8, 265-285; 1998, Psychoneural reduction: the new wave, Cambridge, MA: MIT Press) has claimed that a (bottom-up) reduction of the psychological concepts of learning and memory to the concepts of neuroscience has in fact already been accomplished. An investigation of current research on the phenomenon (...) of long-term potentiation reveals that this claim overstates the facts. Both the psychological and the neural concepts involved have not yet stabilized and face further correction under the influence of both bottom-up and top-down selection pressures. In addition, psychological concepts often refer to functions, and functions are indispensable and irreducible. Function ascriptions pick out objective patterns involving historical factors and distal goals. This view of functions implies that psychological facts cannot be simply read off from the neurophysiological facts. Although psychological theorizing is constrained by neurophysiology (and vice versa), psychology remains distinct at least to some degree. (shrink)

Moritz Pasch (1843ber neuere Geometrie (1882), in which he also clearly formulated the view that deductions must be independent from the meanings of the nonlogical terms involved. Pasch also presented in these lectures the main tenets of his philosophy of mathematics, which he continued to elaborate on throughout the rest of his life. This philosophy is quite unique in combining a deductivist methodology with a radically empiricist epistemology for mathematics. By taking into consideration publications from the entire span of Paschs (...) highly original, but virtually unknown, philosophy of mathematics is presented. (shrink)

The relevance of Wolfgang K hler's psychoneural isomorphism principle to contemporary cognitive neuroscience is explored. K hler's approach to the mind—body problem is interpreted as a response to the foundational crisis of psychology at the beginning of the twentieth century. Some aspects of his isomorphism doctrine are discussed, with a view to reaching an interpretation that is both historically accurate and pertinent to issues currently debated in the philosophy of psychology. The principle was meant to be empirically verifiable. Accordingly, some (...) similarities between K hler's approach and current neural network modeling are pointed out, and it is shown that some recent trends in the neurosciences are broadly compatible with K hler's views on cortical functioning. Isomorphism is interpreted as a form of neuroreductionism constrained by bridging laws relating mental phenomena to macrosocopic parameters of neural function. While isomorphism is probably valid for perceptual phenomena, its applicability to higher mental processes remains doubtful. (shrink)

Relationships of counterfactual dependence have played a major role in recent debates of explanation and understanding in the philosophy of science. Usually, counterfactual dependencies have been viewed as the explanantia of explanation, i.e., the things providing explanation and understanding. Sometimes, however, counterfactual dependencies are themselves the targets of explanations in science. These kinds of explanations are the focus of this paper. I argue that “micro-level model explanations” explain the particular form of the empirical regularity underlying a counterfactual dependency by representing (...) it as a physical necessity on the basis of postulated microscopic entities. By doing so, micro-level models rule out possible forms the regularity could have taken. Micro-model explanations, in other words, constrain empirical regularities and their associated counterfactual dependencies. I introduce and illustrate micro-level model explanations in detail, contrast them to other accounts of explanation, and consider potential problems. (shrink)

There are monsters that scare children and monsters that scare grownups, and then there are monsters that scare philosophers of mind. This paper is concerned with this third sort of monster, whose primary representative is the zombie—a living being, physically just like a person but lacking consciousness. Though zombies act like normal people and appear to have normal brains, everything is blank inside. Unfortunately, the term ‘zombie’ covers a narrower class of deficits than is convenient, failing to cover apparently normal (...) human beings lacking propositional attitudes. Davidson’s “Swampman” is supposed to be an example of such a creature, so I will dub individuals who are apparently normal but lack all propositional attitudes ‘swampfolk,’ though this is non-standard terminology. In what follows, I will refer to both zombies and swampfolk as ‘monsters,’ and will similarly designate animals lacking in consciousness or propositional attitudes. (shrink)

The topic of this article is the analysis of the relations between different levels of reality. The core argument is based on considerations of both an epistemology of action and manipulative causality as a criterion of object identity. The argumentation is extended towards the concepts of self-organization and self-regulation. Finally, several views on reduction and the problems of emergence and complexity are discussed.

The doctrine of eliminative materialism holds that belief-desire psychology is massively referentially disconnected. We claim, however, that it is not at all obvious what it means to be referentially (dis)connected. The two major accounts of reference both lead to serious difficulties for eliminativism: it seems that elimination is either impossible or omnipresent. We explore the idea that reference fixation is a much more local, partial, and context-dependent process than was supposed by the classical accounts. This pragmatic view suggests that elimination (...) is not the prime model for understanding the complex relations between the mind and brain sciences, and that we have little ground for concluding that in general psychological kinds do not exist. We suggest that reference changes are better seen as continuous rather than completely eliminative. (shrink)

Sir Karl Popper is one of the few authors to have discussed the reduction of chemistry. His approach consists of what I term naturalistic reduction, which I suggest bears close similarities to the way in which scientists regard reduction. The present article aims to build on Popper's insights into the nature of reduction in science and more specifically to suggest an approach to characterizing a specific sense of the notion of approximate reduction in the context of chemistry. In the course (...) of the discussion, one of Popper's better known passages on the reduction of chemistry is analysed in some detail. (shrink)

Psychoanalysis often claims that an appraisal of its constituent hypotheses necessitates a personal analysis on the part of the critic with respect to the latter's ability to render a worthwhile and insightful evaluation of psychoanalytic theory. The objection to this position, namely one of ?privileged access?, has been voiced in numerous contexts, but a philosophical defense of the position has rarely been offered. In this paper such a defense is put forth, and it is argued that psychoanalysis is, in certain (...) crucial respects, analogous to physics in its scientific or structural respects, and insofar as this analogy holds, certain claims about one's familiarity with the latter also hold with respect to the former. Thus, a knowledge of physics entails an understanding of the laboratory procedures whereby physicists carry on their investigations. In the case of psychoanalysis certain ?laboratory operations? and ?instruments? are identifiable also. Where in the physics laboratory the physicist deals with cyclotrons, thermometers and the like, the psychoanalyst deals with the character traits of himself and the analysand. The character trait is the instrument whereby the analyst understands the analysand in a specifically psychoanalytic manner. Since the philosopher must know how the physicist works in the physics laboratory in order to understand physics, one must also understand the laboratory methodology of the analyst. Without the experience of psychoanalysis, however, such an understanding is truncated at best and nonexistent at worst. (shrink)

Some revisionary ontologies are highly parsimonious: they posit far fewer entities than what we quantify over in ordinary discourse. The most radical examples are minimal ontologies, on which physical simples are the only things that exist. Highly parsimonious ontologies, and especially minimal ones, face the challenge of either accounting for the truth of our ordinary quantificational discourse, or paraphrasing such discourse away. Common strategies for addressing this challenge include classical reduction, paraphrase nihilism, and a distinction between ontological and existence commitments. (...) I argue, however, that these strategies are either implausible or fail to provide truth conditions consistent with minimal or parsimonious ontologies. I then discuss, defend, and suggest ways to strengthen an alternative framework for reduction, on which the sentences of reducing theories ground those of reducible theories. Relative to the other options for defending minimal ontology, a strengthened grounding-reductive approach can provide more defensible truth conditions for minimal ontology, better preserve scientific realist intuitions, set a more attainable standard for reduction, and allow our existence commitments to be more responsive to empirical evidence and scientific expertise. As a result, I argue that minimal ontology becomes more defensible—though not certain—on a grounding-reductive framework. But even if minimal ontology were wrong, the grounding-reductive framework makes other parsimonious but non-minimal ontologies more plausible. (shrink)