ABSTRACTThe distinction between ‘context of discovery’ and ‘context of justification’ in philosophy of science appears simple at first but contains interesting complexities. Paul Hoyningen-Huene has catalogued some of these complexities and suggested that the core usefulness of the ‘context distinction’ is in distinguishing between descriptive and normative perspectives. Here, I expand on Hoyningen-Huene’s project by tracing the label ‘context of discovery and context of justification’ to its origin. I argue that, contrary to initial appearances, Hans Reichenbach’s initial context distinction from (...) 1938 does not easily map onto Hoyningen-Huene’s distinction between descriptive and normative perspectives on science. However, this is not a reason to reject Hoyningen-Huene’s simplified context distinction, nor do I recommend returning to Reichenbach’s initial proposal. It is, however, further reason to believe that the context distinction does not have a single, easily understood meaning. Along the way, I revisit Reichenbach’s version of ‘rational reconstruction’ and highlight its usefulness as a tool for philosophy in general. (shrink)

Richard Jeffrey’s radical probabilism (‘probability all the way down’) is augmented by the claim that probability cannot be turned into certainty, except by data that logically exclude all alternatives. Once we start being uncertain, no amount of updating will free us from the treadmill of uncertainty. This claim is cast first in objectivist and then in subjectivist terms.

The original proof of the four-color theorem by Appel and Haken sparked a controversy when Tymoczko used it to argue that the justification provided by unsurveyable proofs carried out by computers cannot be a priori. It also created a lingering impression to the effect that such proofs depend heavily for their soundness on large amounts of computation-intensive custom-built software. Contra Tymoczko, we argue that the justification provided by certain computerized mathematical proofs is not fundamentally different from that provided by surveyable (...) proofs, and can be sensibly regarded as a priori. We also show that the aforementioned impression is mistaken because it fails to distinguish between proof search (the context of discovery) and proof checking (the context of justification). By using mechanized proof assistants capable of producing certificates that can be independently checked, it is possible to carry out complex proofs without the need to trust arbitrary custom-written code. We only need to trust one fixed, small, and simple piece of software: the proof checker. This is not only possible in principle, but is in fact becoming a viable methodology for performing complicated mathematical reasoning. This is evinced by a new proof of the four-color theorem that appeared in 2005, and which was developed and checked in its entirety by a mechanical proof system. (shrink)

Este trabajo presenta y analiza dos posturas acerca de las representaciones y clasificaciones científicas que Ian Hacking en ¿La construcción social de qué? denomina realismo o estructurismo inherente y nominalismo. La primera sostiene que las divisiones del conocimiento científico expresan o reflejan divisiones estructurales de la realidad a la que se refieren, en tanto que la segunda considera que toda división o estructura atribuida por la ciencia a la realidad se encuentra sólo en las representaciones mismas. Se sostiene que tal (...) criterio clasificatorio resulta pertinente y fructífero para las discusiones actuales acerca de la naturaleza del conocimiento científico, que pone de relieve diversas cuestiones profundas e intensamente debatidas a lo largo de la historia de la filosofía, y que el empleo del término “nominalismo” –a pesar de su polisemia y de ser poco utilizado actualmente en la filosofía de la cienciaes acertado por cuanto la discusión es en gran medida semántica, ya que se basa en dos concepciones contrapuestas acerca de la naturaleza del lenguaje humano. (shrink)

Since its introduction in 1987, Benjamin Freedman’s principle of clinical equipoise has enjoyed widespread uptake in bioethics discourse. Recent years, however, have witnessed a growing consensus that the principle is fundamentally flawed. One of the most vocal critics has undoubtedly been Franklin Miller. In a 2008 paper, Steven Joffe and Miller build on this critical work, offering a new conception of clinical research ethics based on science, taking what they call a “scientific orientation” toward the ethics of clinical research. Though (...) there is much to recommend Joffe and Miller’s scientifically oriented conception of clinical research ethics, I believe that both the critical and constructive projects suffer from the same basic mistake: inattention to context. The internal norms of science cannot be fully specified, let alone satisfied, independently of contextual (external) factors that only come into view when we are attentive to the particular context of that form of inquiry. (shrink)

After delineating the distinguishing features of pragmatism, and noting the resources that pragmatists have available to respond effectively as pragmatists to the two major objections to pragmatism, I examine and critically evaluate the various proposals that pragmatists have offered as a solution to the problem of induction, followed by a discussion of the pragmatic positions on the status of theoretical entities. Thereafter I discuss the pragmatic posture toward the nature of explanation in science. I conclude that pragmatism has (a) a (...) generally compelling solution to Hume's problem of induction; (b) no specific position on the status of theoretical entities, although something like the non-realism of the sort developed by van Fraassen seems a defensible candidate for most pragmatists in general, even though there are non-trivial objections to van Fraassen's position; and (c) central to the pragmatic conception of scientific explanation is the abandonment of our common conception of truth as a necessary condition for sentences to provide adequate explanations, and a drift in the direction of a contextualist account of explanation. (shrink)

In this paper I argue for a place for logic inscientific methodology, at the same level asthat of computational and historicalapproaches. While it is well known that a awhole generation of philosophers dismissedLogical Positivism (not just for the logicthough), there are at least two reasons toreconsider logical approaches in the philosophyof science. On the one hand, the presentsituation in logical research has gone farbeyond the formal developments that deductivelogic reached last century, and new researchincludes the formalization of several othertypes of (...) reasoning, like induction andabduction. On the other hand, we call for abalanced Philosophy of Science, one inwhich both methods, the formal and thehistorical may be complementary, togetherproviding a pluralistic view of science, inwhich no method is the predominant one. (shrink)

The author characterizes the model of rationality devised by critical rationalism in opposition to the classic model of rationality and as an alternative to this. He illustrates and criticizes the trichotomous theory of knowledge which, going back to Max Scheler, is received in a secularized version by Habermas and Apel, also under the influence of the hermeneutic tradition of Heidegger and Gadamer and of the so-called “critical theory” of Max Horkheimer and Theodor Adorno. The author criticizes historicism as it expects (...) to be an alternative to naturalism and not to make use of the method based on scientific laws. The author proposes as an example of technological social science the model developed in economics starting from Adam Smith. With regard to legal theories, natural law is rejected because of its sociomorphic cosmology. It is proposed that legal science as social technology has two parts. One part aims at efficient interpretations of valid law (for the space-time region concerned) and a second part aims at the construction of efficient norms for the modification of valid law by legislation. (shrink)

It is usually accepted that deductions are non-informative and monotonic, inductions are informative and nonmonotonic, abductions create hypotheses but are epistemically irrelevant, and both deductions and inductions can’t provide new insights. In this article, I attempt to provide a more cohesive view of the subject with the following hypotheses: (1) the paradigmatic examples of deductions, such as modus ponens and hypothetical syllogism, are not inferential forms, but coherence requirements for inferences; (2) since any reasoner aims to be coherent, any inference (...) must be deductive; (3) a coherent inference is an intuitive process where the premises should be taken as sufficient evidence for the conclusion, which on its turn should be viewed as necessary evidence for the premises in some modal range; (4) inductions, properly understood, are abductions, but there are no abductions beyond the fact that in any inference the conclusion should be regarded as necessary evidence for the premises; (5) monotonicity is not only compatible with the retraction of past inferences given new information, but it is a requirement for it; (6) this explanation of inferences holds true for discovery processes, predictions and trivial inferences. (shrink)

This book argues for the need to put into practice a profound and comprehensive intellectual revolution, affecting to a greater or lesser extent all branches of scientific and technological research, scholarship and education. This intellectual revolution differs, however, from the now familiar kind of scientific revolution described by Kuhn. It does not primarily involve a radical change in what we take to be knowledge about some aspect of the world, a change of paradigm. Rather it involves a radical change in (...) the fundamental, overall intellectual aims and methods of inquiry. At present inquiry is devoted to the enhancement of knowledge. This needs to be transformed into a kind of rational inquiry having as its basic aim to enhance personal and social wisdom. This new kind of inquiry gives intellectual priority to the personal and social problems we encounter in our lives as we strive to realize what is desirable and of value – problems of knowledge and technology being intellectually subordinate and secondary. For this new kind of inquiry, it is what we do and what we are that ultimately matters: our knowledge is but an aspect of our life and being. (shrink)

This inaugural handbook documents the distinctive research field that utilizes history and philosophy in investigation of theoretical, curricular and pedagogical issues in the teaching of science and mathematics. It is contributed to by 130 researchers from 30 countries; it provides a logically structured, fully referenced guide to the ways in which science and mathematics education is, informed by the history and philosophy of these disciplines, as well as by the philosophy of education more generally. The first handbook to cover the (...) field, it lays down a much-needed marker of progress to date and provides a platform for informed and coherent future analysis and research of the subject. -/- The publication comes at a time of heightened worldwide concern over the standard of science and mathematics education, attended by fierce debate over how best to reform curricula and enliven student engagement in the subjects There is a growing recognition among educators and policy makers that the learning of science must dovetail with learning about science; this handbook is uniquely positioned as a locus for the discussion. -/- The handbook features sections on pedagogical, theoretical, national, and biographical research, setting the literature of each tradition in its historical context. Each chapter engages in an assessment of the strengths and weakness of the research addressed, and suggests potentially fruitful avenues of future research. A key element of the handbook’s broader analytical framework is its identification and examination of unnoticed philosophical assumptions in science and mathematics research. It reminds readers at a crucial juncture that there has been a long and rich tradition of historical and philosophical engagements with science and mathematics teaching, and that lessons can be learnt from these engagements for the resolution of current theoretical, curricular and pedagogical questions that face teachers and administrators. (shrink)

Karl Popper is famous for having proposed that science advances by a process of conjecture and refutation. He is also famous for defending the open society against what he saw as its arch enemies – Plato and Marx. Popper’s contributions to thought are of profound importance, but they are not the last word on the subject. They need to be improved. My concern in this book is to spell out what is of greatest importance in Popper’s work, what its failings (...) are, how it needs to be improved to overcome these failings, and what implications emerge as a result. The book consists of a collection of essays which dramatically develop Karl Popper’s views about natural and social science, and how we should go about trying to solve social problems. Criticism of Popper’s falsificationist philosophy of natural science leads to a conception of science that I call aim-oriented empiricism. This makes explicit metaphysical theses concerning the comprehensibility and knowability of the universe that are an implicit part of scientific knowledge – implicit in the way science excludes all theories that are not explanatory, even those that are more successful empirically than accepted theories. Aim-oriented empiricism has major implications, not just for the academic discipline of philosophy of science, but for science itself. Popper generalized his philosophy of science of falsificationism to arrive at a new conception of rationality – critical rationalism – the key methodological idea of Popper’s profound critical exploration of political and social issues in his The Open Society and Its Enemies, and The Poverty of Historicism. This path of Popper, from scientific method to rationality and social and political issues is followed here, but the starting point is aim-oriented empiricism rather than falsificationism. Aim-oriented empiricism is generalized to form a conception of rationality I call aim-oriented rationalism. This has far-reaching implications for political and social issues, for the nature of social inquiry and the humanities, and indeed for academic inquiry as a whole. The strategies for tackling social problems that arise from aim-oriented rationalism improve on Popper’s recommended strategies of piecemeal social engineering and critical rationalism, associated with Popper’s conception of the open society. This book thus sets out to develop Popper’s philosophy in new and fruitful directions. The theme of the book, in short, is to discover what can be learned from scientific progress about how to achieve social progress towards a better world. (shrink)

To clarify and illuminate the place of probability in science Ellery Eells and James H. Fetzer have brought together some of the most distinguished philosophers ...

The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this 2002 monograph examines simplicity (...) by asking six questions: what is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics. (shrink)

Persons are not just mechanical systems of instinctual animalistic proclivities, but also language-producing, existentially aware creatures, whose experiences and actions are drenched in subjective meaning. To understand a human being as a person is to understand him or her as a rational system that wants, fears, hopes, believes, and in other ways imbues the world with meaning, rather than just a mechanical system that is subject to the same chains of cause and effect as other animals. But contemporary personality psychology (...) has, to a great extent, focused on the behavioral side of personality, while neglecting its meaning side, failing to realize that subjective meanings are part of the very constitution rather than just causes of personality. My overarching purpose with this dissertation is, consequently, to contribute to the establishment of a genuinely non-reductive science of personality that systematically studies the systems of meaning that comprise a person’s worldview in their own right, as sources of meaning in personality. I both establish conceptual and theoretical foundations for the psychology of worldviews and present empirical research on worldviews. The conceptual and theoretical issues are addressed in the introductory chapters and the first paper. I begin by explicating a non-reductive realist philosophy of personality that steers between reductionism and social constructionism, and by suggesting that we need a more coherent understanding of personality and a richer study of it, rather than a radically new methodology. I continue by discussing the limitations of, and conceptual issues with, previous approaches to personality, and by outlining the conceptual foundations for a psychology of worldviews to remediate their weaknesses, demarcating worldview constructs as referring to presuppositions, concepts, and narrative scripts that, by working as the substrata, or background, for intentional thought, feeling, and action, form the most central sources of meaning. I continue by discussing the structure and dynamics of worldviews in terms of the relationship between innate meaning-making mechanisms and the universal features of the existential condition that they address. I conclude the introductory chapters by describing the background of the empirical research and by discussing limitations with the present thesis and directions for future theory and research. I continue, in the first paper, to argue that the study of traits and the study of worldviews form mutually irreducible parts of personality psychology and that worldviews are not inherently less universal in terms of structure, or in other ways less basic, than traits. I conclude this paper by emphasizing the need to address coherence not just in behavior, but also within worldviews and between traits and worldviews, and to complement traditional individual differences research with personalistic methodology. The empirical research is presented in the second and third papers included in this thesis. This research addresses Humanism and Normativism, which are arguably the two broadest and potentially most important worldview constructs in the research literature today, representing whether human beings are thought of as intrinsically valuable and ontologically important or as acquiring value and reality only through the attainment of external norms and ideals . Although originally thought to be opposites, previous research has suggested that they are uncorrelated. In the first empirical paper, I introduce a hierarchical model of their structure, develop scales to measure their facets, and demonstrate through confirmatory factor analysis that they are, contrary to previous wisdom, negatively related in terms of view of human nature, attitude to affect, and interpersonal attitude, but unrelated in terms of epistemology and political values. I present evidence also of discriminant and predictive validity in relation to other worldview variables, life goals, educational field, political and religious orientation, and the Big Five aspects. In the second empirical paper, I use humanism and normativism to explain the broad systems of meaning that potentially underlie, and intersect with, variables from the most important models of the underpinnings of political ideology today, through path modeling. The results suggest that humanism is related to political ideology through preference for equality, as mediated by moral concern with fairness and the avoidance of harm, emotionality, and honesty-humility, and that normativism is related to political ideology through conservative attitudes in general, as mediated by system justification, moral concern with authority, loyalty, and purity, and low openness. Both of the empirical articles provide ample evidence of broad systems of meaning cutting across different aspects of the worldview and of their explanatory power with regards to other psychological phenomena. These studies thereby help to substantiate the viability of the psychology of worldviews. (shrink)

The origins of testing scientific models with statistical techniques go back to 18th century mathematics. However, the modern theory of statistical testing was primarily developed through the work of Sir R.A. Fisher, Jerzy Neyman, and Egon Pearson in the inter-war period. Some of Fisher's papers on testing were published in economics journals (Fisher, 1923, 1935) and exerted a notable influence on the discipline. The development of econometrics and the rise of quantitative economic models in the mid-20th century made statistical significance (...) testing a commonplace, albeit controversial tool within economics. -/- In the debate about significance testing, methodological controversies intertwine with epistemological issues and sociological developments. Our aim in this chapter is to expound these connections and to show how the use of, and the debate about, significance testing in economics differs from other social sciences, such as psychology. (shrink)

In this contribution, I comment on Raffaella Campaner’s defense of explanatory pluralism in psychiatry (in this volume). In her paper, Campaner focuses primarily on explanatory pluralism in contrast to explanatory reductionism. Furthermore, she distinguishes between pluralists who consider pluralism to be a temporary state on the one hand and pluralists who consider it to be a persisting state on the other hand. I suggest that it would be helpful to distinguish more than those two versions of pluralism – different understandings (...) of explanatory pluralism both within philosophy of science and psychiatry – namely moderate/temporary pluralism, anything goes pluralism, isolationist pluralism, integrative pluralism and interactive pluralism. Next, I discuss the pros and cons of these different understandings of explanatory pluralism. Finally, I raise the question of how to implement or operationalize explanatory pluralism in scientific practice; how to structure the “genuine dialogue” or shape “the pluralistic attitude” Campaner is referring to. As tentative answers, I explore a question-based framework for explanatory pluralism as well as social-epistemological procedures for interaction among competing approaches and explanations. (shrink)

I would like to assume that Reichenbach's distinction of Justification and Discovery lives on, and to seek arguments in his texts that would justify their relevance in this field. The persuasive force of these arguments transcends the contingent circumstances apart from which their genesis and local transmission cannot be made understandable. I shall begin by characterizing the context distinction as employed by Reichenbach in "Experience and Prediction" to differentiate between epistemology and science (1). Following Thomas Nickles and Kevin T. Kelly, (...) one can distinguish two meanings of the context distinction in Reichenbach's work. One meaning, which is primarily to be found in the earlier writings, conceives of scientific discoveries as potential objects of epistemological justification. The other meaning, typical for the later writings, removes scientific discoveries from the possible domain of epistemology. The genesis of both meanings, which demonstrates the complexity of the relationships obtaining between epistemology and science, can be made understandable by appealing to the historical context (2). Both meanings present Reichenbach with the task of establishing the autonomy of epistemology through the justification of induction. Finally, I shall expound this justification and address some of its elements of rationality characterizing philosophy of science(3). (shrink)

Ciertas interpretaciones de la obra de Kuhn subrayan su contribución inconsciente al positivismo lógico, lo que es consecuencia de un conocimiento y una crítica superficiales de dicha corriente por su parte. En este artículo critico dicha tesis a partir de un texto inédito de Kuhn: The Quest for Physical Theory (1951), sus conferencias en el Instituto Lowell de Boston y una primera presentación del punto de vista de The Structure of Scientific Revolutions.

Arguably no concept is more fundamental to science than that of causality, for investigations into cases of existence, persistence, and change in the natural world are largely investigations into the causes of these phenomena. Yet the metaphysics and epistemology of causality remain unclear. For example, the ontological categories of the causal relata have been taken to be objects (Hume 1739), events (Davidson 1967), properties (Armstrong 1978), processes (Salmon 1984), variables (Hitchcock 1993), and facts (Mellor 1995). (For convenience, causes and effects (...) will usually be understood as events in what follows.) Complicating matters, causal relations may be singular (Socrates’s drinking hemlock caused Socrates’s death) or general (Drinking hemlock causes death); hence the relata might be tokens (e.g., instances of properties) or types (e.g., types of events) of the category in question. Other questions up for grabs are: Are singular causes metaphysically and/or epistemologically prior to general causes or vice versa (or neither)? What grounds the intuitive asymmetry of the causal relation? Are macro-causal relations reducible to micro-causal relations? And perhaps most importantly: Are causal facts (e.g., the holding of causal relations) reducible to non-causal facts (e.g., the holding of certain spatiotemporal relations)? (shrink)

In this paper I present a game-theoretical approach to the problem of induction. I investigate the comparative success of prediction methods by mathematical analysis and computer programming. Hume's problem lies in the fact that although the success of object-inductive prediction strategies is quite robust, they cannot be universally optimal. My proposal towards a solution of the problem of induction is meta-induction. I show that there exist meta-inductive prediction strategies whose success is universally optimal, modulo short-run losses which are upper-bounded. I (...) then turn to the implications of my approach for the evolution of cognition. In the final section I suggest a revision of the paradigm of bounded rationality by introducing the distinction between local, general and universal prediction strategies. (shrink)

In the philosophy of perception, representationalism is the view that all phenomenological differences among mental states are representational differences, in other words, differences in content. In this paper I defend an alternative view which I call external sortalism, inspired by traditional adverbialism, and according to which experiences are not essentially representational. The central idea is that the external world serves as a model for sorting, conceptualizing, and reasoning surrogatively about perceptual experience. On external sortalism, contents are construed as a kind (...) of gloss on experiences themselves. We can retain what is attractive about representationalism, namely, that perceptual experiences can be evaluated for accuracy, without problematic commitment to the idea that they bear a substantive, representational relation to external objects and properties and that this relation determines the phenomenal character of experience. (shrink)

Thesis (Ph. D.)--University of Hawaii at Manoa, 1991.

Scientific inquiry has led to immense explanatory and technological successes, partly as a result of the pervasiveness of scientific theories. Relativity theory, evolutionary theory, and plate tectonics were, and continue to be, wildly successful families of theories within physics, biology, and geology. Other powerful theory clusters inhabit comparatively recent disciplines such as cognitive science, climate science, molecular biology, microeconomics, and Geographic Information Science (GIS). Effective scientific theories magnify understanding, help supply legitimate explanations, and assist in formulating predictions. Moving from their (...) knowledge-producing representational functions to their interventional roles (Hacking 1983), theories are integral to building technologies used within consumer, industrial, and scientific milieus. -/- This entry explores the structure of scientific theories from the perspective of the Syntactic, Semantic, and Pragmatic Views. Each of these views answers questions such as the following in unique ways. What is the best characterization of the composition and function of scientific theory? How is theory linked with world? Which philosophical tools can and should be employed in describing and reconstructing scientific theory? Is an understanding of practice and application necessary for a comprehension of the core structure of a scientific theory? How are these three views ultimately related? (shrink)

Evidentialists say that a necessary condition of sound epistemic reasoning is that our beliefs reflect only our evidence. This thesis arguably conflicts with standard Bayesianism, due to the importance of prior probabilities in the latter. Some evidentialists have responded by modelling belief-states using imprecise probabilities (Joyce 2005). However, Roger White (2010) and Aron Vallinder (2018) argue that this Imprecise Bayesianism is incompatible with evidentialism due to “inertia”, where Imprecise Bayesian agents become stuck in a state of ambivalence towards hypotheses. Additionally, (...) escapes from inertia apparently only create further conflicts with evidentialism. This dilemma gives a reason for evidentialist imprecise probabilists to look for alternatives without inertia. I shall argue that Henry E. Kyburg’s approach offers an evidentialist-friendly imprecise probability theory without inertia, and that its relevant anti-inertia features are independently justified. I also connect the traditional epistemological debates concerning the “ethics of belief” more systematically with formal epistemology than has been hitherto done. (shrink)

The goal of this dissertation is to reconstruct, critically evaluate, and apply the pluralism of Paul Feyerabend. I conclude by suggesting future points of contact between Feyerabend’s pluralism and topics of interest in contemporary philosophy of science. I begin, in Chapter 1, by reconstructing Feyerabend’s critical philosophy. I show how his published works from 1948 until 1970 show a remarkably consistent argumentative strategy which becomes more refined and general as Feyerabend’s thought matures. Specifically, I argue that Feyerabend develops a persuasive (...) case against rationalism, or the thesis that there exist normative and exclusive rules of scientific rationality. In Chapter 2, I reconstruct Feyerabend’s pluralism and detail its relationship to his humanitarianism and epistemological anarchism. I understand Feyerabend’s pluralism as the combination of the principles of proliferation and tenacity. I show the evolution and justification of these principles from Feyerabend’s early papers until the late 1970s. In Chapter 3, I defend Feyerabend’s pluralism from its most prominent criticisms. I then clarify that Feyerabend’s pluralism amounts to a conception of the logic of theory pursuit and modify his view using insights from C.S. Peirce, Pierre Duhem, and Michael Polanyi. From Peirce, I show how economic, sociological, and value-laden features of theory pursuit may be used to constrain proliferation and tenacity. From Duhem and Polanyi, I try to show the proper role of tacit knowledge within a Feyerabendian framework. Finally, I show what implications Feyerabend’s pluralism has for models of distributing funds within scientific communities. I contend that it provides a more promising model that the ‘well-ordered science’ proposal advanced by numerous philosophers and social scientists. Specifically, I aim to understand what taking Feyerabend’s pluralism seriously entails for principles of balancing funding allocation decisions and the role of peer-review in evaluating the potential success of research proposals. I conclude by suggesting future lines of research for further analyzing and applying Feyerabend’s pluralism. (shrink)

One of the most unsettling problems in the history of philosophy examines how mathematics can be used to adequately represent the world. An influential thesis, stated by Eugene Wigner in his paper entitled "The Unreasonable Effectiveness of Mathematics in the Natural Sciences," claims that "the miracle of the appropriateness of the language of mathematics for the formulation of the laws of physics is a wonderful gift which we neither understand nor deserve." Contrary to this view, this thesis delineates and implements (...) a strategy to show that the applicability of mathematics is very reasonable indeed. I distinguish three forms of the problem of the applicability of mathematics, and focus on one I call the problem of uncanny accuracy: Given that the construction and manipulation of mathematical representations is pervaded by uncertainty, error, approximation, and idealization, how can their apparently uncanny accuracy be explained? I argue that this question has found no satisfactory answer because our rational reconstruction of scientific practice has not involved tools rich enough to capture the logic of mathematical modelling. Thus, I characterize a general schema of mathematical analysis of real systems, focusing on the selection of modelling assumptions, on the construction of model equations, and on the extraction of information, in order to address contextually determinate questions on some behaviour of interest. A concept of selective accuracy is developed to explain the way in which qualitative and quantitative solutions should be utilized to understand systems. The qualitative methods rely on asymptotic methods and on sensitivity analysis, whereas the quantitative methods are best understood using backward error analysis. The basic underpinning of this perspective is readily understandable across scientific fields, and it thereby provides a view of mathematical tractability readily interpretable in the broader context of mathematical modelling. In addition, this perspective is used to discuss the nature of theories, the role of scaling, and the epistemological and semantic aspects of experimentation. In conclusion, we argue for a method of local and global conceptual analysis that goes beyond the reach of the tools standardly used to capture the logic of science; on their basis, the applicability of mathematics finds itself demystified. (shrink)

My thesis centres on the question of whether imaginative states can give rise to knowledge - including whether, and the extent to which, imaginative states can justify beliefs. Across seven chapters, I answer that imaginative states can indeed give rise to knowledge. The first and final chapters introduce and summarise the thesis. In the second chapter, I ask both what different cases of imagining have in common and what sets them apart from other kinds of mental states. In the third (...) chapter, I set out two key challenges that any theory of knowledge by imagination should respond to. The voluntarism challenge asks how imagination can play an evidential role since its content can be voluntarily controlled. The reliability challenge asks whether imaginative states are reliable enough to produce knowledge. I explain what these challenges involve and why they are distinctive, and assess how existing theories of knowledge by imagination could respond to them. I then evaluate the effectiveness of each response. In Chapter 4, I focus on a particular theory of justification - Phenomenal Conservatism, which says that what we are justified in believing is what seems to us to be the case. On the face of it, such a theory appears to exclude imagination as a source of justification. However, I will show how an advocate of Phenomenal Conservatism can include justification by imagination in their model after all. Thereafter in Chapter 5, I ask whether imaginative states can give rise to a particular kind of knowledge: self-knowledge. I look at inward-looking, outward-looking and expressivist theories of self-knowledge. I close Chapter 5 by concluding that all three of these theories can explain how imaginative states can help us acquire self-knowledge. Then in Chapter 6, I turn to see how the Imagination Model of Dreams, which states that dreaming is a kind of imagining, faces a certain challenge if imagination can give rise to knowledge. However, I will show how the imagination model of dreams can be made compatible with justification by imagination, such that we do not have to choose between giving up on justification by imagination or giving in to the sceptic, thus also rescuing the safety of our everyday knowledge. (shrink)

In its scientific sense, industrial ecology represents an emerging transdisciplinary field of studying industrial systems and their fundamental linkage with natural ecosystems. As a short form, industrial ecology is called the "science of sustainability". At the bottom of industrial ecology there is a refreshingly different perspective of understanding nature as model in comparison with other scientific disciplines and concepts of understanding nature e.g. in terms of "sack of resources", "biophysical limit", "something outside", "surrounding", or just "environment" as opposed to industrial (...) systems. The keynote of industrial ecology's specific perspective of understanding nature is to balance the development of industrial systems with the constraints of natural eco-systems, analogous to an "industrial symbiosis". The goal is to contribute for laying a fundamental underpinning for industrial ecology in its scientific sense, in this case especially for its use of nature as model. Therefore an impressive battery of philosophical arguments is provided bringing to bear against the sort of probably raised fallacies and facile or hasty proclaimed critics by sceptics, hard-liners, and mainstream-scientists who often overlook industrial ecology's stimulating role towards sustainability. (shrink)

I review the philosophical literature on the question of when two physical theories are equivalent. This includes a discussion of empirical equivalence, which is often taken to be necessary, and sometimes taken to be sufficient, for theoretical equivalence; and "interpretational" equivalence, which is the idea that two theories are equivalent just in case they have the same interpretation. It also includes a discussion of several formal notions of equivalence that have been considered in the recent philosophical literature, including definitional equivalence (...) and categorical equivalence. The article concludes with a brief discussion of the relationship between equivalence and duality. (shrink)

Abstract: The paper argues that mainstream economics and mainstream philosophy of natural science had much in common during the period 1945-1965. It examines seven common features of the two fields and suggests a number of historical developments that might help explain these similarities. The historical developments include: the Vienna Circle connection, the Samuelson-Harvard-Foundations connection, and the Cold War operations research connection.

My dissertation explores the ways in which Rudolf Carnap sought to make philosophy scientific by further developing recent interpretive efforts to explain Carnap’s mature philosophical work as a form of engineering. It does this by looking in detail at his philosophical practice in his most sustained mature project, his work on pure and applied inductive logic. I, first, specify the sort of engineering Carnap is engaged in as involving an engineering design problem and then draw out the complications of design (...) problems from current work in history of engineering and technology studies. I then model Carnap’s practice based on those lessons and uncover ways in which Carnap’s technical work in inductive logic takes some of these lessons on board. This shows ways in which Carnap’s philosophical project subtly changes right through his late work on induction, providing an important corrective to interpretations that ignore the work on inductive logic. Specifically, I show that paying attention to the historical details of Carnap’s attempt to apply his work in inductive logic to decision theory and theoretical statistics in the 1950s and 1960s helps us understand how Carnap develops and rearticulates the philosophical point of the practical/theoretical distinction in his late work, offering thus a new interpretation of Carnap’s technical work within the broader context of philosophy of science and analytical philosophy in general. (shrink)

This paper describes some epistemic cultural considerations which shape the uses of psychology. I argue the study of mind is bound by the metaphysical background of the given locale and era in which it is practiced. The epistemic setting in which psychology takes place will shape what is worth observing, how it is to be studied, how the data is to be interpreted, and the nature of the ultimate explanatory units. To demonstrate conceptual epistemic constraints, I discuss metaphor use in (...) psychology. In addition, epistemic constraints shape the praxes that arise from structural study of the mind. In order to illustrate this cultural constraint, I discuss Soviet Psychology and provide a contrast between practical uses of psychoanalysis in India, Egypt, and rural Ghana. In response to these conceptual and practical epistemic limitations, psychology could adapt methods drawn from history and anthropology. (shrink)

In many fields of biology, researchers explain a phenomenon by characterizing the responsible mechanism. This requires identifying the candidate mechanism, decomposing it into its parts and operations, recomposing it so as to understand how it is organized and its operations orchestrated to generate the phenomenon, and situating it in its environment. Mechanistic researchers have developed sophisticated tools for decomposing mechanisms but new approaches, including modeling, are increasingly being invoked to recompose mechanisms when they involve nonsequential organization of nonlinear operations. The (...) results often are dynamical mechanistic explanations. The steps in mechanistic research are illustrated using research on circadian rhythms. (shrink)

This chapter provides an overview of the issues involved in recent debates about the epistemological relevance of emotions. We first survey some key issues in epistemology and the theory of emotions that inform various assessments of emotions’ potential significance in epistemology. We then distinguish five epistemic functions that have been claimed for emotions: motivational force, salience and relevance, access to facts and beliefs, non-propositional contributions to knowledge and understanding, and epistemic efficiency. We identify two core issues in the discussions about (...) such epistemic functions of emotions: First, even though it is plausible that emotions are involved in epistemic processes, it may be doubted whether they really matter for the normative question of what counts as knowledge or justified belief. Second, some of the epistemic functions claimed for emotions in general may only be attributed to some specifically epistemic emotions, which have been present all along in traditional epistemology, albeit under different labels such as ‘intuitions’. (shrink)

David Lewis famously proposed to model conventions as solutions to coordination games, where equilibrium selection is driven by precedence, or the history of play. A characteristic feature of Lewis Conventions is that they are intrinsically nonnormative. Some philosophers have argued that for this reason they miss a crucial aspect of our folk notion of convention. It is doubtful however that Lewis was merely analysing a folk concept. I illustrate how his theory can (and must) be assessed using empirical data, and (...) argue that it does indeed miss some important aspects of real-world conventions. I conclude that whether Lewis Conventions exist or not depends on how closely they approximate real-world behaviour, and whether we have any alternative theory that does a better job at explaining the phenomena. (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)

To the extent that William James had an account of ‘meaning,’ it is best captured in his “pragmatic maxim”, but James’s maxim has notoriously been open to many conflicting interpretations. It will be argued here that some of these interpretive difficulties stem from the fact that (1) James seriously understates the differences between his own views and those presented by Peirce in “How to Make our Ideas Clear”, and (2) James’s understanding of the maxim typically ties meaning to truth, but (...) since James takes “truth” talk to stretch from “temporary” to “absolute” truth, a similar ‘elasticity’ can be found in his conception of meaning. However, this ‘elasticity’ is found in our everyday talk of meaning as well, and James manages to capture it in a more cohesive way than more contemporary accounts that often try to do so by positing two completely distinct types of meaning or content. (shrink)

The aim of this contribution is to provide a rather general answer to Hume's problem, the well-known problem of induction. To this end, it is very useful to apply his differentiation between ``relations of ideas'' and ``matters of fact'', and to reconsider earlier approaches. In so doing, we consider the problem formally, as well as empirically. Next, received attempts to solve the problem are discussed. The basic structure of inductive problems is exposed in chap. 6. Our final conclusions are to (...) the positive, i.e., Hume's problem can be dealt with - solved - in a constructive way. More specifically, bounded generalisations can be justified, and the key to the solution is the concept of information. (shrink)