Deduction is important to scientific inquiry because it can extend knowledge efficiently, bypassing the need to investigate everything directly. The existence of closure failure—where one knows the premises and that the premises imply the conclusion but nevertheless does not know the conclusion—is a problem because it threatens this usage. It means that we cannot trust deduction for gaining new knowledge unless we can identify such cases ahead of time so as to avoid them. For philosophically engineered examples we (...) have “inner alarm bells” to detect closure failure, but in scientific investigation we would want to use deduction for extension of our knowledge to matters we don’t already know that we couldn’t know. Through a quantitative treatment of how fast probabilistic sensitivity is lost over steps of deduction, I identify a condition that guarantees that the growth of potential error will be gradual; thus, dramatic closure failure is avoided. Whether the condition is fulfilled is often obvious, but sometimes it requires substantive investigation. I illustrate that not only safe deduction but the discovery of dramatic closure failures can lead to scientific advances. (shrink)

How should emotions figure in scientific practice? I begin by distinguishing three broad answers to this question, ranging from pessimistic to optimistic. Confirmation bias and motivated numeracy lead us to cast a jaundiced eye on the role of emotions in scientific inquiry. However, reflection on the essential motivating role of emotions in geniuses makes it less clear that science should be evacuated of emotion. I then draw on Friedrich Nietzsche’s perspectivism to articulate a twenty-first century epistemology of (...) science that recognizes the necessity of emotion to inquiry but aims to manage the biases that emotions can introduce. Twenty-first century perspectivism is both social and (temporally) distal, helping it to overcome a paradox of self-critical inquiry. (shrink)

This essay argues that scientific systems have two main functions typical to self-organising adaptive and complex systems: Exploration for and exploitation of information. The self-organising nature, or spontaneous order, of scientific systems was prominently conceived by polymath Michael Polanyi. Revisiting Polanyi’s philosophy of science reveals why scientific freedom is still today as important a value as ever, even though the notion of “freedom” itself must be revised. Namely, freedom of inquiry should serve to maintain a diverse (...) and adaptive balance between exploration and exploitation. This essay argues that current trends within science policy and scientific communities, from impact assessments to targeted research funding, are often inherently biased towards advancing exploitative functions over explorative activities. Concerns are raised over whether these exploitative biases suppress the explorative nature of scientific inquiry, and thus disturb the self-organisation of scientific systems by favouring hasty and sometimes negligent exploitation. Further concerns are raised as to whether these impaired adaptive capacities of scientific systems lead to reduced resilience of broader society. Finally, Polanyi’s vision of a Society of Explorers, where free exploration is vindicated and safeguarded, is revived in a 21st century context. (shrink)

Several recent publications attest to a renewed interest, at the dawn of the 21st century, in the philosophy of Charles S. Peirce. While agreeing with the relevance of Peirce philosophy for the 21st century, we disagree with some interpretations of Peirce as a utilitarian-based pragmatist, or with attempts to extract from Peirce a theory of social justice for 21st century societies. A critical exploration of Peirce’s philosophy of science, particularly his idea of scientific inquiry as “the study of (...) useless things”, serves to illuminate the un-pragmatic and anti-utilitarian dimension of Peirce’s thought, as well as to reveal his true ethical relevance for the 21st century. (shrink)

The scientific consensus regarding anthropogenic climate change is firmly established yet climate change denialism, a species of what I call pseudoskepticism, is on the rise in industrial nations most responsible for climate change. Such denialism suggests the need for a robust ethics of inquiry and public discourse. In this paper I argue: (1) that ethical obligations of inquiry extend to every voting citizen insofar as citizens are bound together as a political body. (2) It is morally condemnable (...) for public officials to put forward assertions contrary to scientific consensus when such consensus is decisive for public policy and legislation. (3) It is imperative upon educators, journalists, politicians and all those with greater access to the public forum to condemn, factually and ethically, pseudoskeptical assertions made in the public realm without equivocation. (shrink)

Abstract: This study explores some theoretical issues in scientific research such as, the nature of experimentation and problems of methodology in scientific practice as well as the question of truth, rationality, objectivity and utility of scientific discoveries. The paper discusses a number of theorizing that have emerged in response to the challenge raised by the above concerns. Epistemological models of science from critical rationalists, like Popper, Kuhn, Feyerabend and the neo-pragmatic methodological orientation of Arthur Fine’s Natural Ontological (...) Attitude (NOA) to Science, have been adopted as points of discussion on what science as an empirical discipline entail. The paper concludes that a rigorous epistemological discussion on the methodology of scientific inquiry is a desideratum for the progress of science. (shrink)

Philosophical inquiry strives to be the unencumbered exploration of ideas. That is, unlike scientific research which is subject to ethical oversight, it is commonly thought that it would either be inappropriate, or that it would undermine what philosophy fundamentally is, if philosophical research were subject to similar ethical oversight. Against this, I argue that philosophy is in need of a reckoning. Philosophical inquiry is a morally hazardous practice with its own risks. There are risks present in the (...) methods we employ, risks inherent in the content of the views under consideration, and risks to the subjects of our inquiry. Likely, there are more risks still. However, by starting with the identification of these three risks we can demonstrate not only why an ethics of practice is needed but also which avenues are the most promising for developing an ethics for philosophical practice. Although we might be in the business of asking questions, we do not absolve ourselves of responsibility for the risks that inquiry incurs. (shrink)

We examine conceptual and methodological problems that arise in the course of the scientific study of possible influences of religious belief on the experience of physical pain. We start by attempting to identify a notion of religious belief that might enter into interesting psychological generalizations involving both religious belief and pain. We argue that it may be useful to think of religious belief as a complex dispositional property that relates believers to a sufficiently thick belief system that encompasses both (...) cognitive and non-cognitive elements. Such a conception of religious belief is more likely to correlate with psychological properties of believers that are both sufficiently shared and sufficiently unique to distinguish their psychology from believers in another religion or from non-believers. If the dispositional psychological property that constitutes religious belief does influence pain, then our analysis suggests that it doesn’t do so directly but rather through one of its occurrent manifestations. We offer a taxonomy of the different ways in which occurrent states of belief or experience may interact with physical pain, and we try to identify those that are more interesting or promising. We then proceed to employ the conceptual framework we developed to some of the existing evidence about the neural and psychological correlates of religious belief and experience, and about the cognitive modulation of physical pain. Finally we turn to analyse two experiments that directly investigated the relation between religious belief and pain. We draw attention to the limitations of existing evidence and end by suggesting directions for future conceptual and empirical inquiry. (shrink)

Economists customarily talk about the ‘realism’ of economic models and of their assumptions and make descriptive and prescriptive judgements about them: this model has more realism in it than that, the realism of assumptions does not matter, and so on. This is not the way philosophers mostly use the term ‘realism’ thus there is a major terminological discontinuity between the two disciplines. The following remarks organise and critically elaborate some of the philosophical usages of the term and show some of (...) the ways in which they relate to economists’ concerns. In the philosophy of science, scientific realism is the mainstream position – or rather a heterogeneous collection of positions - that includes ideas about the nature of scientific theories and how they are related to the real world and about the goals and achievements of scientific inquiry. However, most of what philosophers have contributed around these ideas is not designed to deal with the peculiarities of economics, thus some important adjustments are needed to make scientific realism an interesting position for economists. (shrink)

Two great problems of learning confront humanity: (1) learning about the universe, and about ourselves as a part of the universe, and (2) learning how to make progress towards as good a world as possible. We solved the first problem when we created modern science in the 17th century, but we have not yet solved the second problem. This puts us in a situation of unprecedented danger. Modern science and technology enormously increase our power to act, but not our power (...) to act wisely. All our current global crises have arisen as a result. What we need to do is learn from our solution to the first great problem of learning how to go about solving the second one. Properly implemented, this idea leads to a new kind of inquiry rationally devoted to helping humanity make progress towards as good a world as possible. (shrink)

The basic task of the essay is to exhibit science as a rational enterprise. I argue that in order to do this we need to change quite fundamentally our whole conception of science. Today it is rather generally taken for granted that a precondition for science to be rational is that in science we do not make substantial assumptions about the world, or about the phenomena we are investigating, which are held permanently immune from empirical appraisal. According to this standard (...) view, science is rational precisely because science does not make a priori metaphysical presuppositions about the world forever preserved from possible empirical refutation. It is of course accepted that an individual scientist, developing a new theory, may well be influenced by his own metaphysical presuppositions. In addition, it is acknowledged that a successful scientific theory, within the context of a particular research program, may be protected for a while from refutation, thus acquiring a kind of temporary metaphysical status, as long as the program continues to be empirically progressive. All such views unite, however, in maintaining that science cannot make permanent metaphysical presuppositions, held permanently immune from objective empirical evaluation. According to this standard view, the rationality of science arises, not from the way in which new theories are discovered, but rather from the way in which already formulated theories are appraised in the light of empirical considerations. And the fundamental problem of the rationality of science—the Humean problem of induction— concerns precisely the crucial issue of the rationality of accepting theories in the light of evidence. In this essay I argue that this widely accepted standard conception of science must be completely rejected if we are to see science as a rational enterprise. In order to assess the rationality of accepting a theory in the light of evidence it is essential to consider the ultimate aims of science. This is because adopting different aims for science will lead us, quite rationally, to accept different theories in the light of evidence. I argue that a basic aim of science is to explain. At the outset science simply presupposes, in a completely a priori fashion, that explanations can be found, that the world is ultimately intelligible or simple. In other words, science simply presupposes in an a priori way the metaphysical thesis that the world is intelligible, and then seeks to convert this presupposed metaphysical theory into a testable scientific theory. Scientific theories are only accepted insofar as they promise to help us realize this fundamental aim. At once a crucial problem arises. If scientific theories are only accepted insofar as they promise to lead us towards articulating a presupposed metaphysical theory, it is clearly essential that we can choose rationally, in an a priori way, between all the very different possible metaphysical theories that can be thought up, all the very different ways in which the universe might ultimately be intelligible. For holding different aims, accepting different metaphysical theories conceived of as blueprints for future scientific theories will, quite rationally, lead us to accept different scientific theories. Thus it is only if we can choose rationally between conflicting metaphysical blueprints for future scientific theories that we will be in a position to appraise rationally the acceptability of our present day scientific theories. We thus face the crucial problem: How can we choose rationally between conflicting possible aims for science, conflicting metaphysical blueprints for future scientific theories ? It is only if we can solve this fundamental problem concerning the aims of science that we can be in a position to appraise rationally the acceptability of existing scientific theories. There is a further point here. If we could choose rationally between rival aims, rival metaphysical blueprints for future scientific theories, then we would in effect have a rational method for the discovery of new scientific theories! Thus we reach the result: there is only a rational method for the appraisal of existing scientific theories if there is a rational method of discovery. I shall argue that the aim-oriented theory of scientific inquiry to be advocated here succeeds in exhibiting science as a rational enterprise in that it succeeds in providing a rational procedure for choosing between rival metaphysical blueprints: it thus provides a rational, if fallible, method of discovery, and a rational method for the appraisal of existing scientific theories—thus resolving the Humean problem. In Part I of the essay I argue that the orthodox conception of science fails to exhibit science as a rational enterprise because it fails to solve the Humean problem of induction. The presuppositional view advocated here does however succeed in resolving the Humean problem. In Part II of the essay I spell out the new aim-oriented theory of scientific method that becomes inevitable once we accept the basic presuppositional viewpoint. I argue that this new aim oriented conception of scientific method is essentially a rational method of scientific discovery, and that the theory has important implications for scientific practice. (shrink)

Modeling is central to scientific inquiry. It also depends heavily upon the imagination. In modeling, scientists seem to turn their attention away from the complexity of the real world to imagine a realm of perfect spheres, frictionless planes and perfect rational agents. Modeling poses many questions. What are models? How do they relate to the real world? Recently, a number of philosophers have addressed these questions by focusing on the role of the imagination in modeling. Some have also (...) drawn parallels between models and fiction. This chapter examines these approaches to scientific modeling and considers the challenges they face. (shrink)

We argue that the main results of scientific papers may appropriately be published even if they are false, unjustified, and not believed to be true or justified by their author. To defend this claim we draw upon the literature studying the norms of assertion, and consider how they would apply if one attempted to hold claims made in scientific papers to their strictures, as assertions and discovery claims in scientific papers seem naturally analogous. We first use a (...) case study of William H. Bragg’s early 20th century work in physics to demonstrate that successful science has in fact violated these norms. We then argue that features of the social epistemic arrangement of science which are necessary for its long run success require that we do not hold claims of scientific results to their standards. We end by making a suggestion about the norms that it would be appropriate to hold scientific claims to, along with an explanation of why the social epistemology of science—considered as an instance of collective inquiry—would require such apparently lax norms for claims to be put forward. (shrink)

My dissertation combines philosophy of science and political philosophy. Drawing directly on the work of Alasdair MacIntyre and inspired by John Dewey, I develop two rival conceptions of scientific practice. I show that these rivals are closely linked to the two basic sides in the science and values debate -- the debate over the extent to which ethical and political values may legitimately influence scientific inquiry. Finally, I start to develop an account of justice that is sensitive (...) to these legitimate and illegitimate influences. (shrink)

If successful scientific inquiry is to be possible, there must be a world that is independent of how we believe it to be, and in which there are kinds and laws; and we must have the sensory apparatus to perceive particular things and events, and the capacity to represent them, to form generalized explanatory conjectures, and check how these conjectures stand up to further experience. Whether these preconditions are met is not a question the sciences can answer; it (...) is specifically philosophical. This is why the myriad forms of scientistic philosophy in vogue today (neurophilosophy, experimental philosophy, naturalized metaphysics, evangelical-atheist reductionism, etc), are all hollow at the core. Does this mean we must return to the old, a priori analytic model? No! What is needed instead is scientific philosophy in the sense Peirce articulated more than a century ago: philosophy motivated by a genuine desire to discover the truth, and relying not solely on reason but also on experience—only not the special, recherché experience required by the sciences, but close attention to aspects of everyday experience so familiar we hardly notice them. (shrink)

The clamour for scientific reasoning in philosophy is born out of a belief that scientific reasoning is infallible and universal. This paper argues that while scientific reasoning is infallible, it is so only with regard to the objects of knowledge in science. And because objects of knowledge are not the same across disciplines, claims that scientific reasoning is universal in its application are patently misplaced. -/- The belief in the universality of scientific reasoning has its (...) genesis in what may be called the ‘same genre argument’. If all objects of knowledge have a common essential and characteristic quality they can be put in a common basket and so belong to a common set. So far so good. The problem with this thesis arises when it is assumed that all objects of knowledge there can be (in this universe and beyond, if there is a beyond) are elements of that common universal set. If they are, they share an essential quality with and so belong to the same genre as material objects in our material universe. This essential quality is the material nature (mass and/or energy) of all matter in the phenomenal world, a quality that gives matter (a) objective reality and (b) makes it a percept. Scientific method is geared to studying percepts through a percept-perceiver one-to-one relationship. -/- If all objects of knowledge, however, are not material objects, they will neither be percepts nor show up as objective realities to perceiver/scientific observers and on their scientific tools. There are such objects. What was mere speculation once can be scientifically proven today. Only, the approach to the proof must be different. -/- There is a category of objects that are not material in nature; but they are objects of knowledge. These are called wholes. Examples of wholes are (i) God of Abrahamic religions; (ii) the Self/Brahman of the Upanishads; (iii) the universe in entirety. Every whole is characterized by dimensions. Dimensions are not objective realities because they are not material objects. Because they are not objective realities they are not objectively verifiable. Hence they will always elude science and scientific reasoning. That does not mean that they don’t exist. The universe is a whole. Its dimensions are space and time. Neither is objectively real; yet both are realities. -/- The paper concludes by considering the dynamics of logical progression from premise (axiom) to theorem. If the premise is wrong there can be no knowledge, no matter how powerful the logical apparatus that is used. (shrink)

In this paper I distinguish between two kinds of meta-hypotheses, or hypotheses about science, at issue in the scientific realism debate. The first are descriptive empirical hypotheses regarding the nature of scientific inquiry. The second are epistemological theories about what individuals should / can justifiably believe about scientific theories. Favoring the realist Type-D meta-hypotheses, I argue that a particular set of realist and non-realist efforts in the debate over Type-E’s have been valuable in the quest to (...) describe and understand the nature of scientific inquiry. For the realism debate itself has inadvertently and indirectly laid the foundations for an important kind of Type-D meta-hypothesis, one regarding creativity in the history of science—which, in turn, is relevant to refining our descriptions of inference. After illustrating this result with regard to the historical argument against realism, I suggest that these empirically attained meta-hypotheses pertaining to scientific creativity can, in turn, be made methodologically prescriptive. (shrink)

Moral philosophers are, among other things, in the business of constructing moral theories. And moral theories are, among other things, supposed to explain moral phenomena. Consequently, one’s views about the nature of moral explanation will influence the kinds of moral theories one is willing to countenance. Many moral philosophers are (explicitly or implicitly) committed to a deductive model of explanation. As I see it, this commitment lies at the heart of the current debate between moral particularists and moral generalists. In (...) this paper I argue that we have good reasons to give up this commitment. In fact, I show that an examination of the literature on scientific explanation reveals that we are used to, and comfortable with, non-deductive explanations in almost all areas of inquiry. As a result, I argue that we have reason to believe that moral explanations need not be grounded in exceptionless moral principles. (shrink)

What differentiates scientific research from non-scientific inquiry? Philosophers addressing this question have typically been inspired by the exalted social place and intellectual achievements of science. They have hence tended to point to some epistemic virtue or methodological feature of science that sets it apart. Our discussion on the other hand is motivated by the case of commercial research, which we argue is distinct from (and often epistemically inferior to) academic research. We consider a deflationary view in which (...) science refers to whatever is regarded as epistemically successful, but find that this does not leave room for the important notion of scientific error and fails to capture distinctive social elements of science. This leads us to the view that a demarcation criterion should be a widely upheld social norm without immediate epistemic connotations. Our tentative answer is the communist norm, which calls on scientists to share their work widely for public scrutiny and evaluation. (shrink)

In this dissertation, I present a novel account of the components that have a peculiar epistemic role in our scientific inquiries, since they contribute to establishing a form of coordination. The issue of coordination is a classic epistemic problem concerning how we justify our use of abstract conceptual tools to represent concrete phenomena. For instance, how could we get to represent universal gravitation as a mathematical formula or temperature by means of a numerical scale? This problem is particularly pressing (...) when justification for using these abstract tools comes, in part or entirely, from knowledge which is not independent from them, thus leading to threats of circularity. Achieving coordination between some abstract conceptual tools and the concrete phenomena that they are supposed to represent is usually a complex process, which involves several epistemic components. Some of these components eventually provide stable conditions for applying those abstract representations to concrete phenomena. It is in this sense of providing certain conditions of applicability that different philosophical traditions, as well as some contemporary reappraisals, view these components as constitutive or a priori. In this work, I present a new gradualist, contextualist, and relational approach to understand these constitutive components of scientific inquiry. It is gradualist inasmuch as the degree to which some component is constitutive depends on three quantifiable features: quasi-axiomaticity, generative potential, and empirical shielding. Since the quantification of these three features impinges on the history and practice of using these components in a scientific context, my approach is a contextualist one. Finally, my approach is relational in a double sense: first, it identifies ordinal relationships among epistemic components with respect to their constitutive character; second, these relationships are relative to a scientific framework of inquiry. After introducing my account and a classic example of constitutively a priori principles, i.e., Friedman’s (2001) analysis of Newtonian mechanics, I turn to my own case studies to demonstrate the advantages of my approach. Firstly, I discuss Okasha’s (2018) view of endogenization as a pervasive theoretical strategy in evolutionary biology and suggest that the constitutive character of the core Darwinian principles progressively increases with endogenization. Secondly, I apply a conceptual distinction between two varieties or scopes of coordination – general coordination and coordination in measurement – to Ohm’s work on electrical conductivity. This distinction allows me to pinpoint to what extent components along different dimensions (e.g., instrumentation, measurement, theorising, etc.) were constitutive of the forms of coordination which Ohm relied on. Thirdly, I discuss the epistemic function of the Hardy-Weinberg principle in the history and practice of population genetics. I assess this principle in terms of my account and identify approximation and stability as two components that are highly constitutive, in that they contribute to justifying its use in population genetics. Finally, applying my account to these case studies enables me to identify at least three qualitatively different types of constitutive components: domain-specific theoretical principles, material components, and domain-independent assumptions underlying reasoning abilities. In the light of my results, I draw some general conclusions on epistemic justification and scientific knowledge. (shrink)

This paper considers the view that medicine is both “science” and “art.” It is argued that on this view certain clinical knowledge – of patients’ histories, values, and preferences, and how to integrate them in decision-making – cannot be scientific knowledge. However, by drawing on recent work in philosophy of science it is argued that progress in gaining such knowledge has been achieved by the accumulation of what should be understood as “scientific” knowledge. I claim there are varying (...) degrees of objectivity pertaining to various aspects of clinical medicine. Hence, what is often understood as constituting the “art” of medicine is amenable to objective methods of inquiry, and so, may be understood as “science”. As a result, I conclude that rather than endorse the popular philosophical distinction between the art and science of medicine, in the future a unified, multifaceted epistemology of medicine should be developed to replace it. (shrink)

In our paper we investigate a difficulty arising when one tries to reconsiliateessentialis t’s thinking with classification practice in the biological sciences. The article outlinessome varieties of essentialism with particular attention to the version defended by Brian Ellis. Weunderline the basic difference: Ellis thinks that essentialism is not a viable position in biology dueto its incompatibility with biological typology and other essentialists think that these two elementscan be reconciled. However, both parties have in common metaphysical starting point and theylack explicit (...) track of methodological procedures. Methodological inquiry involves less demandingassumptions than metaphysical, and therefore it is justified to analyse abovementioned discrepancy between Ellis and other essentialist in this context. We do it by bottom-up investigation whichfocuses on the practice of taxonomists in the particular field of biology. A case study helps us todiscover four characteristics of biological typology practice: impossibility of algorithmization,relativity, subjectivity and conventionality. These features prove non-realistic and therefore anti-essentialistic character of biological classification. We conclude by saying that any essentialismrelated to the notion of biological kind cannot be regarded as justified by scientific enterprise of creating typologies. (shrink)

This paper aims to contribute to debates about the nature of philosophical inquiry and its relation to science. The starting point is the Discontinuity View (DV), which holds that philosophy is discontinuous with science. Upon critically engaging two lines of argument in favor of DV, the paper presents and defends the Continuity View (CV), according to which philosophy and science are continuous forms of inquiry. The critical engagement sheds light on continuities between philosophical and scientific inquiry (...) while underlining special normative competences of philosophical work. The final part of the paper uses these insights to offer a brief outline of a normative approach to philosophy of science. (shrink)

Systematicity theory—developed and articulated by Paul Hoyningen-Huene—and scientific realism constitute separate encompassing and empirical accounts of the nature of science. Standard scientific realism asserts the axiological thesis that science seeks truth and the epistemological thesis that we can justifiably believe our successful theories at least approximate that aim. By contrast, questions pertaining to truth are left “outside” systematicity theory’s “intended scope” ; the scientific realism debate is “simply not” its “focus”. However, given the continued centrality of that (...) debate in the general philosophy of science literature, and given that scientific realists also endeavor to provide an encompassing empirical account of science, I suggest that these two contemporary accounts have much to offer one another. Overlap for launching a discussion of their relations can be found in Nicholas Rescher’s work. Following through on a hint from Rescher, I embrace a non-epistemic, purely axiological scientific realism—what I have called, Socratic scientific realism. And, bracketing the realist’s epistemological thesis, I put forward the axiological tenet of scientific realism as a needed supplement to systematicity theory. There are two broad components to doing this. First, I seek to make clear that axiological realism and systematicity theory accord with one another. Toward that end, after addressing Hoyningen-Huene’s concerns about axiological analysis, I articulate a refined axiological realist meta-hypothesis: it is, in short, that the end toward which scientific inquiry is directed is an increase in a specific subclass of true claims. I then identify a key feature of scientific inquiry, not generally flagged explicitly, that I take to stand as shared terrain for the two empirical meta-hypotheses. And I argue that this feature can be informatively accounted for by my axiological meta-hypothesis. The second broad component goes beyond mere compatibility between the two positions: I argue that, in want of a systematic account of science, we are prompted to find an end toward which scientific inquiry is directed that is deeper than what systematicity theory offers. Specifically, I argue that my refined axiological realist meta-hypothesis is required to both explain and justify key dimensions of systematicity in science. To the quick question, what is it that the scientific enterprise is systematically doing? My quick answer is that it is systematically seeking to increase a particular subclass of true claims. (shrink)

The practice of social studies continues to be a complicated scientific endeavor. From an epistemological point of view, the social sciences, unlike the natural sciences, do not conform to the predominant definition of science. The existing differences among expositions of “science,” “inquiry,” and “studies” lie with the contested role of the intellectual who is embarked on understanding the social realm. The “maturity” of the social sciences is usually discussed in the context of objectivity and rationality. But continuing epistemological (...) debates would be insufficient without reference to the scholar as a human studying humans. The philosophy of science has focused mainly on the procedures of knowledge accumulation, neglecting social context and its implications for inquiry. To address this neglect, this essay sets out first to retrace doubts about the role of the scholar that emerged with the institutionalization of the social sciences at the outset of the twentieth century and then to rethink these issues in terms of recent scientific developments. What surfaces is a new, participatory role for scholars that demands responsible contextualization and a broader conception of causal stories. (shrink)

There are many good reasons to learn about the lives of people who have less social privilege than we do. We might want to understand their circumstances in order to have informed opinions on social policy, or to make our institutions more inclusive. We might also want to cultivate empathy for its own sake. Much of this knowledge is gained through social scientific or humanistic research into others' lives. The entitlement to theorize about or study the lives of marginalized (...) others is often granted under the presumption of academic freedom. This paper will not question whether academic freedom licenses us to do so in the first place ; instead, I will... (shrink)

This article discusses Sven Ove Hansson’s corpus model for the influence of values (in particular, non-epistemic ones) in the hypothesis acceptance/rejection phase of scientific inquiry. This corpus model is based on Hansson’s concepts of scientific corpus and science ‘in the large sense’. I first present Hansson’s corpus model of value influence with some introductory comments about its origins, a detailed presentation of the model with a new terminology, an analysis of its limits, and an appreciation of its (...) handling of controversial non-epistemic values. I conclude that it is a very good candidate for managing value influence, because contrary to other models in the literature it is fairly simple, it provides a universal and systematic procedure for dealing with values, and it syste- matically preserves the epistemic integrity of science. I then study some difficulties associated with the model’s central feature of taking the maximum level of evidence required by the applications of a claim in order for the latter to enter the scientific corpus: the difficulty to identify this maximum requirement; the non-optimality of this requirement with respect to other less demanding requirements; the potentially detrimental consequences of the preference for false negatives over false positives on which it relies; and the issue of whether there can nevertheless be requirements higher than this maximum. I show that these issues may potentially challenge the corpus model. Finally, I call for empirical work (in particular, an investigation of scientists’ and engineers’ own normative views) in order to better assess these issues. (shrink)

We introduce the notion of complexity, first at an intuitive level and then in relatively more concrete terms, explaining the various characteristic features of complex systems with examples. There exists a vast literature on complexity, and our exposition is intended to be an elementary introduction, meant for a broad audience. -/- Briefly, a complex system is one whose description involves a hierarchy of levels, where each level is made of a large number of components interacting among themselves. The time evolution (...) of such a system is of a complex nature, depending on the interactions among subsystems in the next level below the one under consideration and, at the same time, conditioned by the level above, where the latter sets the context for the evolution. Generally speaking, the interactions among the constituents of the various levels lead to a dynamics characterized by numerous characteristic scales, each level having its own set of scales. What is more, a level commonly exhibits ‘emergent properties’ that cannot be derived from considerations relating to its component systems taken in isolation or to those in a different contextual setting. In the dynamic evolution of some particular level, there occurs a self-organized emergence of a higher level and the process is repeated at still higher levels. -/- The interaction and self-organization of the components of a complex system follow the principle commonly expressed by saying that the ‘whole is different from the sum of the parts’. In the case of systems whose behavior can be expressed mathematically in terms of differential equations this means that the interactions are nonlinear in nature. -/- While all of the above features are not universally exhibited by complex systems, these are nevertheless indicative of a broad commonness relative to which individual systems can be described and analyzed. There exist measures of complexity which, once again, are not of universal applicability, being more heuristic than exact. The present state of knowledge and understanding of complex systems is itself an emerging one. Still, a large number of results on various systems can be related to their complex character, making complexity an immensely fertile concept in the study of natural, biological, and social phenomena. -/- All this puts a very definite limitation on the complete description of a complex system as a whole since such a system can be precisely described only contextually, relative to some particular level, where emergent properties rule out an exact description of more than one levels within a common framework. -/- We discuss the implications of these observations in the context of our conception of the so-called noumenal reality that has a mind-independent existence and is perceived by us in the form of the phenomenal reality. The latter is derived from the former by means of our perceptions and interpretations, and our efforts at sorting out and making sense of the bewildering complexity of reality takes the form of incessant processes of inference that lead to theories. Strictly speaking, theories apply to models that are constructed as idealized versions of parts of reality, within which inferences and abstractions can be carried out meaningfully, enabling us to construct the theories. -/- There exists a correspondence between the phenomenal and the noumenal realities in terms of events and their correlations, where these are experienced as the complex behavior of systems or entities of various descriptions. The infinite diversity of behavior of systems in the phenomenal world are explained within specified contexts by theories. The latter are constructs generated in our ceaseless attempts at interpreting the world, and the question arises as to whether these are reflections of `laws of nature' residing in the noumenal world. This is a fundamental concern of scientific realism, within the fold of which there exists a trend towards the assumption that theories express truths about the noumenal reality. We examine this assumption (referred to as a ‘point of view’ in the present essay) closely and indicate that an alternative point of view is also consistent within the broad framework of scientific realism. This is the view that theories are domain-specific and contextual, and that these are arrived at by independent processes of inference and abstractions in the various domains of experience. Theories in contiguous domains of experience dovetail and interpenetrate with one another, and bear the responsibility of correctly explaining our observations within these domains. -/- With accumulating experience, theories get revised and the network of our theories of the world acquires a complex structure, exhibiting a complex evolution. There exists a tendency within the fold of scientific realism of interpreting this complex evolution in rather simple terms, where one assumes (this, again, is a point of view) that theories tend more and more closely to truths about Nature and, what is more, progress towards an all-embracing ‘ultimate theory’ -- a foundational one in respect of all our inquiries into nature. We examine this point of view closely and outline the alternative view -- one broadly consistent with scientific realism -- that there is no ‘ultimate’ law of nature, that theories do not correspond to truths inherent in reality, and that successive revisions in theory do not lead monotonically to some ultimate truth. Instead, the theories generated in succession are incommensurate with each other, testifying to the fact that a theory gives us a perspective view of some part of reality, arrived at contextually. Instead of resembling a monotonically converging series successive theories are analogous to asymptotic series. -/- Before we summarize all the above considerations, we briefly address the issue of the complexity of the {\it human mind} -- one as pervasive as the complexity of Nature at large. The complexity of the mind is related to the complexity of the underlying neuronal organization in the brain, which operates within a larger biological context, its activities being modulated by other physiological systems, notably the one involving a host of chemical messengers. The mind, with no materiality of its own, is nevertheless emergent from the activity of interacting neuronal assemblies in the brain. As in the case of reality at large, there can be no ultimate theory of the mind, from which one can explain and predict the entire spectrum of human behavior, which is an infinitely rich and diverse one. (shrink)

Although the first thing coming to mind when called Alghazali is theologian celebrated for criticism of philosophy, we only will not mention his critical thinking. It can be thought that this famous thinker of Islamic world has purely attempted to criticism of metaphysics but in our opinion this is not exactly true. With reference to traditional commentaries on Alghazali is not quite well, we desire to try in order to show a reliable approach. In this paper we will argue whether (...) or not the coherence of some commentaries on Alghazali such as destruction philosophy, inhibition to the intellectual development, prohibition to scientific and ideational advancement and so on. (shrink)

In this essay, I reflect on the implications of intellectual virtues in scientific endeavor. To this end, I first offer a depiction of scientific endeavor by resorting to the notion of academic attitude, which involves aspects concerning the generation and possession of knowledge. Although there are differences between these activities, they have in common the engagement of diverse intellectual agents (scientists). In this sense, I analyze how intellectual virtues are linked to 1) scientific research tasks, such as (...) theory appraisal, and 2) those tasks of vigilance and intervention in the uses of scientific knowledge. I conclude that intellectual virtues play a leading role in achieving higher quality scientific research and adequate foresight on the uses and impacts of scientific findings. In this order of ideas, I propose an agenda for further inquiries on these matters, highlighting the relevance of reflecting and empirically researching the relationship between intellectual virtues and science, as well as cultivating intellectual virtues in various stages of scientific training. (shrink)

This collection of essays is the product of a conference on Aristotle’s Posterior Analytics (Apo) held at the University of North Carolina at Chapel Hill in 2009. The essays address three main questions: (1) “How does the APo model of scientific knowledge, focused as it is on the construction of syllogisms, relate to the scientific accounts Aristotle presents elsewhere, especially in the biological treatises?’ (2) ‘How do the arguments and views presented in the APo relate to other aspects (...) of Aristotle’s philosophy?’ and (3) ‘How do the remarks in the concluding chapter of the APo concerning perception, memory, experience, and the grasp of the universal add up to an explanation of how we come to know first principles?’ The papers by J.G. Lennox, M. Leunissen and R. McKirahan address the first two questions, while those by M. Tuominen and G. Salmieri discuss the well-known passage in Apo II 19. (shrink)

A common objection to a pragmatist perspective on scientific expertise is that, while there is a well-known pragmatist theory of inquiry, which was formulated first by Peirce, then refined by Dewey and others, this theory cannot provide a clear-cut account of scientific expertise. In this paper, after addressing this objection in the second section, I claim that, on the contrary, pragmatism offers robust tools to think scientific expertise. In Sections 3 to 7, I present five important (...) insights that one can derive from a pragmatist epistemology when responding to contemporary problems posed by expertise: about science and scientific expertise in a legal context (sections 3 and 4), about collective expertise (sections 5 and 6), and even about expertise on ignorance (section 7). (shrink)

Mechanisms play a crucial role in scientific research across various disciplines, and philosophers of science have devoted significant effort into understanding their ontology and epistemology. This paper examines the relationship between mechanisms and phenomena, highlighting the inherent dependence of mechanistic delineation on the characterization of phenomena. By acknowledging that characterizing phenomena is influenced by pragmatic considerations and research interests, the paper argues that mechanistic inquiry is inherently shaped by researchers’ perspectives. This dependence raises concerns about the possibility of (...) a realist view of mechanisms. To address these concerns, the paper explores how top-down constraints, rooted in researchers’ interests and pragmatic concerns, can be balanced by bottom-up constraints derived from empirical considerations. In conclusion, I argue that the interplay between these constraints forms an empirical and realist counterweight to the perspectival nature of top-down constraints. (shrink)

Straightening the current ‘value-laden turn’ (VLT) in the philosophical literature on values in science, and reviving the legacy of the value-free ideal of science (VFI), this paper argues that the influence of extra-scientific values should be minimised—not excluded—in the core phase of scientific inquiry where claims are accepted or rejected. Noting that the original arguments for the VFI (ensuring the truth of scientific knowledge, respecting the autonomy of science results users, preserving public trust in science) have (...) not been satisfactorily addressed by proponents of the VLT, it proposes four prerequisites which any model for values in the acceptance/rejection phase of scientific inquiry should respect, coming from the fundamental requirement to distinguish between facts and values: (1) the truth of scientific knowledge must be ensured; (2) the uncertainties associated with scientific claims must be stated clearly; (3) claims accepted into the scientific corpus must be distinguished from claims taken as a basis for action. An additional prerequisite of (4) simplicity and systematicity is desirable, if the model is to be applicable. Methodological documents from international institutions and regulation agencies are used to illustrate the prerequisites. A model combining Betz’s conception (stating uncertainties associated with scientific claims) and Hansson’s corpus model (ensuring the truth of the scientific corpus and distinguishing it from other claims taken as a basis for action) is proposed. Additional prerequisites are finally suggested for future research, stemming from the requirement for philosophy of science to self-reflect on its own values: (5) any model for values in science must be descriptively and normatively relevant; and (6) its consequences must be thoroughly assessed. (shrink)

In reading Barbara Koslowski's "Theory and Evidence: The Development of Scientific Reasoning", one may be convinced that the ancient debate between classical rationalists and empiricists is alive. And like most people who carefully investigate the ability of either rationalism or empiricism truly to account for all of our ability to know, Koslowski arrives at the position of saying that knowledge (in this case scientific knowledge) is a product of both: "neither theory nor data alone is sufficient to achieve (...) scientific success; each must be evaluated in the context of, and constrained by, the other". The problem, according to Koslowski, for those who insist upon empiricism as being the only type of understanding which counts as science, is that we then exclude much of the productive thought in children empiricism champions itself as being theory-independent. The theory-independent notion of science uses covariation as its exclusive criterion for scientific reasoning. "In short, the empiricist aim of rationally reconstructing scientific inquiry in terms of theory-independent principles went along with an (all but exclusive) emphasis on the role of Humean indices. And this, in turn, brought with it a corresponding emphasis on hypothesis testing rather than hypothesis discovery and revision". Consequently, according to Koslowski, if we are willing to expand our notion of scientific reasoning to go beyond testing for covariation, then we will find that many more children and adults can be seen to reason in a manner which would be called "scientific". (shrink)

Through discussing scientific whaling, the paper brings the necessity of retrieving natural philosophy. The paper’s arguments favor an expanded vision of human encounter with nature, through the lens of natural philosophy, with a priority focus of expanding our imaginations to embrace the vast natural world. -/- There is no doubt that both the philosophy and science, two of the three significant areas of cultural and intellectual engagement (the other one is religion), have gone through changes over time. It is (...) also conspicuous that the modern natural science marginalized and suppressed specific concerns which were previously an indefeasible part of natural philosophy. -/- Bringing both historical and critical discussion of natural philosophy, the paper explores prospective retrieval of natural philosophy in contemporary modern science. Emphasizing the significance of natural philosophy’s imperatives both in the intellectual and field application of modern science, the paper reiterates commentary of Nicholas Maxwell, who advocates to correct three loopholes (Maxwell 2017): change the nature of social inquiry; opt aim-oriented rationality methods; and generalize the progress achieving methods of science. (shrink)

In True enough,, Elgin argues against veritism, which is the view that truth is the paramount epistemic objective. Elgin’s argument against veritism proceeds from considering the role that models, idealizations, and thought experiments play in science to the conclusion that veritism is unacceptable. In this commentary, I argue that Elgin’s argument fails as an argument against veritism. I sketch a refutation by logical analogy of Elgin’s argument. Just as one can aim at gold medals and still find approximations to gold, (...) such as silver and bronze medals, to be acceptable and honest achievements in competitive sports, one can aim at full truths as the paramount epistemic objective and still find approximations to truth, such as models and idealizations, to be acceptable and honest achievements in scientific inquiry. (shrink)

In this paper, I argue for a distinction between two scales of coordination in scientific inquiry, through which I reassess Georg Simon Ohm’s work on conductivity and resistance. Firstly, I propose to distinguish between measurement coordination, which refers to the specific problem of how to justify the attribution of values to a quantity by using a certain measurement procedure, and general coordination, which refers to the broader issue of justifying the representation of an empirical regularity by means of (...) abstract mathematical tools. Secondly, I argue that the development of Ohm’s measurement practice between the first and the second experimental phase of his work involved the change of the measurement coordination on which he relied to express his empirical results. By showing how Ohm relied on different calibration assumptions and practices across the two phases, I demonstrate that the concurrent change of both Ohm’s experimental apparatus and the variable that Ohm measured should be viewed based on the different form of measurement coordination. Finally, I argue that Ohm’s assumption that tension is equally distributed in the circuit is best understood as part of the general coordination between Ohm’s law and the empirical regularity that it expresses, rather than measurement coordination. (shrink)

The move from respecting science to scientism, i.e., the idealization of science and scientific method, is simple: We go from acknowledging the sciences as fruitful human activities to oversimplifying the ways they work, and accepting a fuzzy belief that Science and Scientific Method, will give us a direct pathway to the true making of the world, all included. The idealization of science is partly the reason why we feel we need to impose the so-called scientific terminologies and (...) methodologies to all aspects of our lives, education too. Under this rationale, educational policies today prioritize science, not only in curriculum design, but also as a method for educational practice. One might expect that, under the scientistic rationale, science education would thrive. Contrariwise, I will argue that scientism disallows science education to give an accurate image of the sciences. More importantly, I suggest that scientism prevents one of science education’s most crucial goals: help students think. Many of my arguments will borrow the findings and insights of science education research. In the last part of this paper, I will turn to some of the most influential science education research proposals and comment on their limits. If I am right, and science education today does not satisfy our most important reasons for teaching science, perhaps we should change not just our teaching strategies, but also our scientistic rationale. But that may be a difficult task. (shrink)

For Charles Peirce, the project of inquiry is a social one. Though inquiry, the passage from genuine doubt to settled belief, can be described on the individual level, its significance as a human activity is manifested in collective action. For any individual, Truth transcends experience and inquiry. But it does not transcend experience and inquiry altogether: is a fixed limit, an ideal, towards which a properly functioning community converges. What, in principle, makes the cohesion of such (...) a community possible? Why did Peirce believe that convergence towards an ultimate conclusion was the necessary end of unlimited scientific inquiry? This essay examines Peirce's notion of community to answer these questions and suggests that the presence of genuine doubt not only makes convergence possible, but also constitutes the starting point for almost all inquiry. The exception is philosophical inquiry. (shrink)

Pragmatism is typically understood as a philosophy embedded in scientific inquiry. Thinkers, like Charles Peirce (1877), C.I. Lewis (1923) and Susan Haack (1998) envisioned pragmatism and its scientific inquiry as a method of systematizing our beliefs and acquiring knowledge. They thought that scientific practice and its implied standards, techniques, and values is the only source of hope for scientific and philosophical progress. In this dissertation, I construct a pragmatic approach to the meta-ethical questions of (...) our moral truths, beliefs and principles that proposes a normative systematization of ethics grounded in moral practice, development and experimentation. I argue that maintaining a pragmatic faith in the origination and formation of our moral constitutions will provide us with a realist, cognitivist and objective view of reality subject to the capacities of our human cognition and empirical evidence and not subject to metaphysical and universal methods of reasoning. (shrink)

This is a copy of the presentation given at the "Workshop on Agency and Distributed Cognition" at Macquarie University, March 2012. What is noteworthy about this piece of work is that (i) it is a very early foray into the pedagogy, ontology, and epistemology of virtual worlds (it's 2012, way before David Chalmers' book "Reality+" in 2022); and (ii) it was my first foray into "social epistemology" beyond the standard "S knows that p" epistemology, drawing on Vygotskian collaborative approaches to (...) learning and teaching, moving beyond analytic philosophy into educational research. Finally, (iii) there's a hyperlink to the actual virtual world in Unity3D created by a cross-disciplinary team of researchers from Sydney University and Macquarie University for the purposes of teaching scientific inquiry. (shrink)

It has been widely believed since the nineteenth century that modern science provides a serious challenge to religion, but less agreement as to the reason. One main complication is that whenever there has been broad consensus for a scientific theory that challenges traditional religious doctrines, one finds religious believers endorsing the theory or even formulating it. As a result, atheists who argue for the incompatibility of science and religion often go beyond the religious implications of individual scientific theories, (...) arguing that the sciences taken together provide a comprehensive challenge to religious belief. Scientific theories, on this view, can be integrated to form a general vision of humans and our place in nature, one that excludes the existence of supernatural phenomena to which many religious traditions refer. The most common name given to this general vision is the scientific worldview. The purpose of my paper is to argue that the relation of a worldview to science is more complex and ambiguous than this position allows, drawing upon recent work in the history and philosophy of science. While there are other ways to complicate the picture, this paper will focus on differing views that scientists and philosophers have on the proper scope and limits of scientific inquiry. I will identify two different types of science—Baconian and Cartesian—that have different ambitions with respect to scientific theories, and thus different answers about the possibility of a scientific worldview. The paper will conclude by showing how their differing intuitions about scientific inquiry are evident in contemporary debates about reductionism, drawing upon the work of two physicists, Steven Weinberg and John Polkinghorne. History is more complex than this simple schema allows, of course, but these types provide a useful first approximation into the ambiguities of modern science. (shrink)

In this paper, I expand my upon earlier linguistic research (Lian, 2023), which delved into the genre of abstracts from Western philosophical papers. I engage with the philosophical ramifications emanating from the guidelines established for crafting philosophy paper abstracts (Lian, 2023) and underscore their significance in the domain of academic philosophical writing. A pivotal focus of this research is to navigate the intricate philosophical challenges posed by cross-disciplinary investigations bridging applied linguistic statistics with philosophical paper composition, specifically, the nuanced interpretation (...) of linguistic findings in a manner palatable to philosophers. My exploration probes into the dynamics of various concepts within Inter-Disciplinary Research (IDR), highlighting the complexities in reconciling semantic intuitions related to the notions of "Method (M)" and "Conclusion (C)". I delineate three philosophical stances: (1) deferring to scientific authority, (2) recognizing domain-specific terminologies, and (3) interrogating peripheral scientific theories. I posit that these stances significantly influence the ways philosophers engage with and resolve the cross-disciplinary semantic and theoretical contentions stemming from the rhetorical structures of "Method (M)" and "Conclusion (C)". This work proposes avenues to attain either "theoretical coherence" or "disciplinary synthesis", thereby fostering enhanced cross-disciplinary collaboration and fortifying academic discourse across diverse fields. -/- Keywords: Inter-Disciplinary Research (IDR), Applied linguistics, Philosophical writing, Genre Analysis, Rhetorical Moves 本研究將先介紹筆者的語言學碩士論文（連，2023），如何分析《東吳哲學學報》2017年至2021年西方哲學論文摘要語體的修辭語步特徵與提供寫作建議，並試圖從哲學圈內人的角度，對連（2023）的哲學寫作 建議進行批判性的反思，探討哲學教師或新手哲學家可以如何看待華文哲學論文摘要的寫作建議。接著，筆者將問題聚焦在跨領域學科（應用語言學統計結果與哲學論文寫作）之間的哲學問題，即——哲學家應如何看待語言學家 針對哲學論文的研究結果。筆者將考慮領域間研究（IDR）的語言與詞語概念關係。而藉由討論上述跨領域研究中語義直覺分歧的問題，筆者提出了三種可能的哲學態度：(1)服從科學權威、(2)尊重特定領域用詞、(3 )質疑邊緣科學理論。筆者認為，上述三種態度對於哲學家如何看待「方法(M)」和「結論(C)」這兩項跨領域語義概念分歧和可能理論分歧有著重要的影響。筆者希冀藉由提出相關解決方案來尋求「理論統一」或「領域整 合」的可行性，最終得以促進跨領域合作與跨學門間良好學術交流的互動成長。 -/- 關鍵詞：領域間研究（IDR）、應用語言學、哲學寫作、語體分析、修辭語步 . (shrink)

This paper comprehensively examines Antoine Henri Becquerel’s discovery of radioactivity in 1896, a groundbreaking scientific advancement often viewed through serendipity. This case study explores the typologies of serendipity and investigates the conditions that foster its occurrence. A detailed study of Becquerel’s investigations reveals that his discovery aligns with a Walpolian type of serendipity, characterized by true serendipity heavily influenced by unforeseen experimental results. This paper emphasizes the role of bisociation, a cognitive process associating previously disconnected concepts, in Becquerel’s discovery, (...) challenging the view that his discovery was merely a chance event. Instead, it argues that Becquerel’s discovery represents an intricate interplay of logic and chance, exemplifying the Walpolian type of serendipity. Moreover, by examining Becquerel’s experimental design, results, and innovative approach, this paper illustrates that his discovery adheres to the fundamental aspects of the scientific method, albeit executed in a non-linear and iterative manner. The process and context of Becquerel’s discovery provide valuable insights into scientific knowledge inception, progression, and definition, underscoring the intertwined roles of serendipity and scientific inquiry in advancing science. (shrink)

In the quest for a new social turn in philosophy of science, exploring the prospects of a Vygotskian perspective could be of significant interest, especially due to his emphasis on the role of culture and socialisation in the development of cognitive functions. However, a philosophical reassessment of Vygotsky's ideas in general has yet to be done. As a step towards this direction, I attempt to elaborate an approach on scientific representations by drawing inspirations from Vygotsky. Specifically, I work upon (...) Vygotsky’s understanding on the nature and function of concepts, mediation and zone of proximal development. -/- I maintain that scientific representations mediate scientific cognition in a tool-like fashion (like Vygotsky’s signs). Scientific representations are consciously acquired through deliberate inquiry in a specific context, where it turns to be part of a whole system, reflecting the social practices related to scientific inquiry, just scientific concepts do in Vygotsky’s understanding. They surrogate the real processes or effects under study, by conveying some of the features of the represented systems. Vygotsky’s solution to the problem of the ontological status of concepts points to an analogous understanding for abstract models, which should be regarded neither as fictions nor as abstract objects. -/- I elucidate these views by using the examples of the double-helix model of DNA structure and the development of our understanding of the photoelectric effect. (shrink)

Some commentators, such as Jürgen Habermas, think Martin Heidegger is guilty of a performative contradiction, because he uses judgments to situate judgments in a non-judicative context. This paper defends Heidegger by distinguishing two senses of judgment in his thought. Temporality enables two different directions of inquiry and hence two kinds of judgment. Scientific judgments arise when we turn from the temporal horizon toward entities alone; phenomenological judgments arise when we return to the temporal horizon in which such entities (...) are accessible. Consequently, using phenomenological judgments to show the condition for the possibility of scientific judgments is not contradictory. (shrink)

Post-truth has become a commonplace strategy. No longer are objective facts viewed as having evidentiary value; scientific knowledge is on a par with emotions or personal beliefs. We intend to show that in the context of post-truth, those proffering and receiving an assertion do not care about the truth-value of the assertion or about the best way to gather evidence concerning it. Such attitudes raise several questions about how relativism can be a corrupting influence in contemporary democracies. We will (...) analyse Steve Fuller’s use of the term «post-truth» – especially, the political connotations about epistemic democracy that he highlights. Instead, we offer a pragmatist defence of the truth and an alternative meaning of epistemic democracy. (shrink)

In this article I present some characteristics of logics and semantics of an uncertain world. I confront two-valued and fuzzy logic. I use Kafka’s novel Process as an example, which is designed as an uncertain context with words which are rigid designators without rigid meaning. That produces an uncertain world of logical and semantical relations. In presentation of problems I introduce basic concepts of Frege’s, Wittgenstein’s, Tarsky’s, Searle’s, Quine’s and Davidson’s philosophy of language. I differ the logical and semantical identification (...) of identity. I differ reference and inference, or representation and identification as two components which are fundamental for the identification of identity. I found this difference on the role of logical unification and granulation of predicates in the structure of thought and semantical unification and granulation of attributes in the structure of statements and their relation to ontology of context. Through the confrontation of the logical and semantical unification and granulation I find that the limits of logic are not also the limits of language. The semantical unification goes over the highest genre and below the lowest species. That enables the extra-logical, non-scientifical, con-fessional, pro-phetical, artistic, and ordinary use of language. (shrink)

The behavior/structure methodological dichotomy as locus of scientific inquiry is closely related to the issue of modeling and theory change in scientific explanation. Given that the traditional tension between structure and behavior in scientific modeling is likely here to stay, considering the relevant precedents in the history of ideas could help us better understand this theoretical struggle. This better understanding might open up unforeseen possibilities and new instantiations, particularly in what concerns the proposed technological modification of (...) the human condition. The sequential structure of this paper is twofold. The contribution of three philosophers better known in the humanities than in the study of science proper are laid out. The key theoretical notions interweaving the whole narrative are those of mechanization, constructability and simulation. They shall provide the conceptual bridge between these classical thinkers and the following section. Here, a panoramic view of three significant experimental approaches in contemporary scientific research is displayed, suggesting that their undisclosed ontological premises have deep roots in the Western tradition of the humanities. This ontological lock between core humanist ideals and late research in biology and nanoscience is ultimately suggested as responsible for pervasively altering what is canonically understood as “human”. (shrink)