This volume consists of the invited papers presented at the 23rd International Wittgenstein Conference held in Kirchberg, Austria in August 2000. Among the topics treated are: truth, psychologism, science, the nature of rational discourse, practical reason, contextualism, vagueness, types of rationality, the rationality of religious belief, and Wittgenstein. Questions addressed include: Is rationality tied to special sorts of contexts? ls rationality tied to language? Is scientific rationality the only kind of rationality? Is there something like a Western rationality? and: Could (...) we genetically engineer human beings to be less wicked? (shrink)

The word ‘pseudoscience’ is a marker of changing worries about science and being a scientist. It played an important role in the philosophical debate on demarcating science from other activities, and was used in popular writings to distance science from cranky theories with scientific pretensions. These uses consolidated a comforting unity in science, a communal space from which pseudoscience is excluded, and the user's right to belong is asserted. The urgency of this process dwindled when attempts to find a formal (...) demarcation petered out, and the growth of social constructionism denied science any special access to truth. The reaction to this led to the science wars, which ushered in a new anxiety in the use of ‘pseudoscience’, especially from the least secure branches. But recent writings on the disunity of science reveal how the sense of support drawn from it may be based on an illusion, creating a disunity of pseudoscience as well as of science. (shrink)

In this paper, the different theories about science and technology relationships are analyzed. All of them have some virtues, but also one main defect: these theories do not take into account other well-founded possible relationships. The origin of this problem is the narrow view about science and technology. In this paper another characterization about technology based on Ronald Giere’s perspective is suggested. In the light of this new description, six different relationships between science and technology arise. Some of these relations (...) had been explained in the before analyzed theories, but others emerge from the new portrayal. (shrink)

The concept of approximate truth plays a prominent role in most versions of scientific realism. However, adequately conceptualizing ?approximate truth? has proved challenging. This article argues that the goal of articulating the concept of approximate truth can be advanced by first investigating the processes by which science accords theories the status of accepted or rejected. Accordingly, this article uses a path diagram model as a visual heuristic for the purpose of showing the processes in science that are involved in determining (...) a theory's status. This ?inductive realist? model of theory status then serves as a starting point for explicating an inductive realist view of approximate truth that, it is argued, can explain instances of the success of science, but does not (1) require science's theories to be strictly true in any world or (2) require a metric for measuring how close an approximately true theory is to some strictly true theory. To show the advantages of the inductive realist approach to approximate truth, an example of a major success story of science, the successful eradication of smallpox, is reviewed and then explained. (shrink)

This article addresses the following problems: What is a mechanism, how can it be discovered, and what is the role of the knowledge of mechanisms in scientific explanation and technological control? The proposed answers are these. A mechanism is one of the processes in a concrete system that makes it what it is — for example, metabolism in cells, interneuronal connections in brains, work in factories and offices, research in laboratories, and litigation in courts of law. Because mechanisms are largely (...) or totally imperceptible, they must be conjectured. Once hypothesized they help explain, because a deep scientific explanation is an answer to a question of the form, "How does it work, that is, what makes it tick—what are its mechanisms?" Thus, by contrast with the subsumption of particulars under a generalization, an explanation proper consists in unveiling some lawful mechanism, as when political stability is explained by either coercion, public opinion manipulation, or democratic participation. Finding mechanisms satisfies not only the yearning for understanding, but also the need for control. Key Words: explanation • function • mechanism • process • system • systemism. (shrink)

Scientific knowledge develops in an increasingly fragmentary way.A multitude of scientific disciplines branch out. Curiosity for thisdevelopment leads into quests for a unifying understanding. To a certain extent, foundational studies provide such unification. There is a tendency, however, also of a fragmentary growth of foundational studies, like in a multitude of disciplinaryfoundations. We suggest to look at the foundational problem, not primarily as a search for foundations for one discipline in another, as in some reductionist approach, but as a steady (...) revelation ofpresuppositions for individual scientific theories – which are boundto meet, sooner or later, in a common language. A decisive point hereis our holistic conception of language, as a whole of description-interpretation processes which are entangled(complementary) in the language itself. For every language there is alinguistic complementarity. We suggest this unique form ofentanglement as a unifying presupposition, ultimately foundational forall communicable knowledge. Involved is a linguistic realism, in terms ofwhich we critically examine ``language-world'' problems, as exposed byWittgenstein, and Russell, about a foundational interdependence of language andreality (world). Throughout, we attach to the developmentof foundational studies of mathematics, logics, and the naturalsciences. In particular, we study the interpretation problem foraxioms of infinity in some detail. We emphasize that the holistic concept of language contradicts Carnap's semiotic fragmentation thesis (thus, no clean cutbetween syntax, semantics, pragmatics). (shrink)

[[THIS IS THE COMPLETE SECOND ISSUE OF MΕTASCIENCE]] -/- This second issue of the journal Mεtascience continues the char acterization of this new branch of knowledge that is metasci ence. If it is new, it is not in a radical sense since Mario Bunge practiced it in an exemplary way, since logical positivists were accused of practicing only a mere metascience, since scientists have always practiced it implicitly, and since some philosophers no longer practice philosophy but rather metascience, but without (...) characterizing it or theorizing it, that is, without realizing that they have abandoned one general discourse for another. The novelty therefore lies in this aware ness that a general discourse without philosophy is possible: a scien tific general discourse. The twelve contributions gathered in this volume illustrate the metascientific approach to knowledge of the world as well as to knowledge of knowledge of the world, that is, science. And like Bunge’s project, they are neither part of the analytical movement nor the continental movement in philosophy. We will read here studies about the Bungean system, some applications of Bungean thought, some metascientific contributions, and some reflections around meta science. Among metascientific disciplines, ontology occupies a prominent place in this issue of Mεtascience. Metascience differs from philoso phy in its rejection of the fundamental philosophical distinction be tween appearance and reality. Metascientific ontology therefore does not postulate the existence of any metaphysical reality. But metasci entific ontology, no more than philosophical ontology, is a factual sci ence. The first, because it studies scientific constructs and not concrete objects, the second, because it is interested in transcendent or meta physical objects. (shrink)

This open access book considers the development of the sharing and collaborative economy with a European focus, mapping across economic sectors, and country-specific case studies. It looks at the roles the sharing economy plays in sharing and redistribution of goods and services across the population in order to maximise their functionality, monetary exchange, and other aspects important to societies. It also looks at the place of the sharing economy among various policies and how the contexts of public policies, legislation, digital (...) platforms, and other infrastructure interrelate with the development and function of the sharing economy. The book will help in understanding the future economy models as well as to contribute in solving questions of better access to resources and sustainable innovation in the context of degrowth and growing inequalities within and between societies. It will also provide a useful source for solutions to the big challenges of our times such as climate change, the loss of biodiversity, and recently the coronavirus disease pandemic. This book will be of interest to academics and students in economics and business, organisational studies, sociology, media and communication and computer science. (shrink)

In view of the critique of the methodology of the dominant interdisciplinary re-search involving language studies as the main component, in particular clinical linguistics, Cummings (2014) proposes that “It is perhaps appropriate at this point to move the debate onto non-empirical grounds.” In Cummings (2014: 113) she starts such a debate on the grounds of the philosophy of language and pragmatics. In this article, I propose to expand that debate by including the input of the philosophy of science. I start (...) the discussion by presenting the way one may carry out language research in the paradigm of empirical sciences from the perspective outlined in Bunge (1967, 1973, 2003) and constrained by Altmann’s (1978) assumption about self-originating and self-regulatory nature of language. (shrink)

This brief review of Mario Bunge’s research on physics begins with an analysis of his masterpiece Foundations of Physics, and then it discusses his other contributions to the philosophy of physics. Following that is a summary of his more recent reactions to scientific discoveries in physics and a discussion of his position about non-locality in quantum mechanics, as well as his changing opinions on the nature of spacetime. The paper ends with a brief assessment of Bunge’s legacy concerning the foundations (...) of physics. (shrink)

Classifying is a fundamental operation in the acquisition of knowledge. Taxonomic theory can help students of cognition, evolutionary psychology, ethology, anatomy, and sociobiology to avoid serious mistakes, both practical and theoretical. More positively, it helps in generating hypotheses useful to a wide range of disciplines. Composite wholes, such as species and societies, are “individuals” in the logical sense, and should not be treated as if they were classes. A group of analogous features is a natural kind, but a group of (...) homologous features is not. Imposing hypotheses justified only on the basis of nominalist, realist, phenomenalist, or conceptualist metaphysics upon the neurophysiology of organisms or upon the causes of behavior exemplifies the “psychologist's fallacy” of William James. Levels should be distinguished from their members and from classes of levels, and the ontological status of entities ranked at levels should be made clear. It is important not to confuse such categories as substance and process with one another. Several genetical terms, such as “gene” and chromosome,” are even more equivocal than has been realized. Discussions about units of selection, behavior, and thinking suffer from the ambiguity of a “unit of” an entity. An important source of misunderstanding about natural selection is the habit of treating it as an “agent”: in an important sense, natural selection does not “act” at all. (shrink)

This paper compares the two known logical forms of hierarchy, both of which have been used in models of natural phenomena, including the biological. I contrast their general properties, internal formal relations, modes of growth (emergence) in applications to the natural world, criteria for applying them, the complexities that they embody, their dynamical relations in applied models, and their informational relations and semiotic aspects.

Although to live is to face problems, the general concept of a problem has been significantly understudied. So much so, that the publication of Polya’s delightful How to Solve It caused quite a stir. And, although the concept of a conceptual problem is philosophical because it is deep and occurs across fields, from mathematics to politics, no philosophers have produced any memorable studies of it. Moreover, the word ‘problem’ is absent from most philosophical reference works. There are plenty of texts (...) on particular problems such as those of evil and induction, but none on the general concept of a conceptual problem—as if it were not a problematic concept. Worse, we are seldom told that doing original mathematics, science or technology is to wrestle with original problems. Nor have we been told that the hardest problems are likely to be inverse, in that they go from effect to cause, or from sketch to implementation, or from conclusion to premises—as in diagnosing disease from symptoms, looking for a westward passage from Europe to Asia, and designing public policies to attack social issues. The existence of this significant gap in the philosophical literature justifies the publication of the present study. (shrink)

New accents in the philosophy of technology and philosophy of science amounting, e.g., to the so-called schools of the “New Experimentalism”, “New Instrumentalism” and, recently, “New Mechanism” emphasize the impact of instruments, experiments, and “mechanisms” of the respective technologies opened up by the progress of ever-improving measuring instruments, procedures etc. In addition, it would be necessary to accentuate the process- and action-orientation including practical responsibility problems and dynamic systems models from an epistemological perspective of the methodological scheme-interpretationist approach developed by (...) the author since the seventies of last century. The necessity of multi-disciplinary mutual influences was already time and again stressed regarding philosophy of science. But relatively new is not only the methodological turn involved but also the necessity to go to higher levels of abstraction, metatheories, action- and value-orientation. Therefore, we have to go more interdisciplinary, systems-oriented, and higher-level. That implies notable consequences for an ethics, or rather, meta-ethics for philosophy of science. Practice-oriented philosophers of science will have to go more methodological, multidisciplinary and even responsible. (shrink)

This article focuses on emergence in social systems. The author begins by proposing a new tool to explore the mechanisms of social emergence: multi agent–based computer simulation. He then draws on philosophy of mind to develop an account of social emergence that raises potential problems for the methodological individualism of both social mechanism and of multi agent simulation. He then draws on various complexity concepts to propose a set of criteria whereby one can determine whether a given social mechanism generates (...) emergent properties, in the sense that their explanation cannot be reduced to a mechanistic account of individuals and their interactions. This combined account helps to resolve the competing claims of methodological individualists and social realists. The author’s conclusion is that the scope of mechanistic explanation may be limited due to the extreme complexity of many social systems. Key Words: emergence • mechanism • computer simulation • methodological individualism • social realism. (shrink)

Can research be studied in a way that is neither logical reconstruction nor empirical psychology or sociology of science? In contemporary philosophy of science this is usually denied—in spite of the recent 'paradigm shift' there. A system-philosophy approach in theory of research is outlined by means of some models : a research enterprise is viewed as a productive, innovative system, the research process as a transformation of complexes of knowledge-problems-instruments (software and hard ware). The direction this development takes is guided (...) by preconceptions about the subject matter and a programmatic conception of the discipline based on them ('internal steering factors'). The dynamics of the research process are schematized as a co-agency of 'theoretical and 'empirical' moments, which is viewed as a flow of problems, information, and conceptual frameworks. Empirically discovered pieces of knowledge may resist all attempts to explain them: the flow is disturbed, and only an extraordinary innovation on the 'theoretical' level can restore the balance. This involves a shift in perspective: a shift in the 'internal steering factors'. (In this way one type of 'scientific revolution' (Kuhn's type) is conceptualized). After a perspectival shift one will ask 'Does it constitute progress ?' Types of criteria are suggested. Although they do not apply to all research situations, they over-arch research-traditions. Eventually the above models are applied in the reflection of Research Theory on itself. Research Theory should improve our knowledge about knowledge-production. This knowledge should contribute to improving our image of science and the researcher's sensitivity—by providing better tools for concept ualizing research situations and for imagining possible alternatives. (shrink)

The central thesis of this paper is that physicists have as much to learn from scientifically oriented philosophy as philosophers have to learn from physics. To begin with, any discussion of basic physical ideas and procedures is bound to be conducted in the light of some philosophy or other. Now, the standard philosophy of physics of our century is operationism. And philosophers, with the help of recent developments in semantics, epistemology and the theory of scientific inference, have shown that operationism (...) is untenable. Thus most physicists are dragging a dead philosophy that may not be of any help in conceiving of new ideas and procedures. This, then, is a first contribution philosophy can make to physics, namely to overhaul its philosophy. A second contribution is to the organization of physics, in particular to the axiomatic reconstruction of physical theories and the analysis and validation of empirical procedures. The various theses and antitheses discussed in the article are illustrated with examples taken from contemporary physics. (shrink)

The design, maintenance and use of all measuring instruments involve indicators of the thing, property, or event they are expected to detect or measure. And every quantitative indicator is a functional relation between imperceptible and perceptible facts—for example, the “flow” of time and the rotation of a watch’s hands. The empirical test of any quantitative hypothesis involves the translation of the unobservable variables occurring in it into the observable variable(s) in the indicator hypothesis. Yet, indicators have escaped the notice of (...) nearly all philosophers of science—a fact that may indicate unfamiliarity with laboratory work. (shrink)

The increasing complexity of biological problems and the increase of mathematical means to handle them on the one hand, and the possibility of automatized computation at the other, necessitate a revaluation of the present interactions between biology and mathematics; in this connection interrelations occur which can be divided into three kinds: mathematical biology, biological mathematics, and general biomathematics or methodology of the biomathematical sciences, by which are meant those scientific branches which arise from the said interactions.

Summary Research is regarded as transformations of complexes composed of knowledge, problems and (hardware and software) instruments. Sequences of such transformations are embedded in human settings in which they are given directions. Problems and the work of solving them are divided into empirical and theoretical ones. In an advanced science like physics empirical and theoretical work are interrelated by means of flows of problem-generating information. Empirical and theoretical researchers work also on problems of their own making. Residuals of knowledge which (...) cannot be systematized at the same rate as it is produced as well as clashes between new and old knowledge are potential starting points of new lines of research. (shrink)

This paper is about rational and irrational uses of deontological words, such as “should”, “ought”, and “must”, referred to as “the shoulds”. Rationality is taken as a mutual relationship between conceptual schemes and human agency. These are expressed in what Bakhtin referred to as authoritative discourse and internally persuasive discourse respectively. When the conceptual scheme is in place and its authority transparent, and there is interplay between authoritative discourse and internally persuasive discourse, then the shoulds are perceived as rational. When (...) the interplay is disrupted or suppressed the shoulds are seen as irrational. Breakdown occurs in two main ways. First, when the effective conceptual schemes are hidden, and the origin of the shoulds obscured. We describe some instances of the latter, from philosophy, psychotherapy, and experimental studies of rationality. Second, in technology and science the mutual relationship sometimes breaks down because authoritative discourse is too powerful, and inhibits the interplay in order to maintain itself. After describing these pathologies, we turn to William James, who drew attention to a repair kit for rationality in his detection of the psychologist's fallacy. Describing the work of Dewey and Husserl as elaborations of this, we distinguished two essential aspects of rationality, disciplinary expressed in authoritative discourse, and emancipatory expressed in internally persuasive discourse. (shrink)

Popper, Polanyi and Duncker represent the widely held position that theoretical and experimental scientific research are motivated by problems to which discoveries are solutions. According to the argument here, their views are unsupported and - in light of counter-instances, anomalous chance discoveries, and the force of curiosity - over-generalized.

This article focuses on emergence in social systems. The author begins by proposing a new tool to explore the mechanisms of social emergence: multi agent–based computer simulation. He then draws on philosophy of mind to develop an account of social emergence that raises potential problems for the methodological individualism of both social mechanism and of multi agent simulation. He then draws on various complexity concepts to propose a set of criteria whereby one can determine whether a given social mechanism generates (...) emergent properties, in the sense that their explanation cannot be reduced to a mechanistic account of individuals and their interactions. This combined account helps to resolve the competing claims of methodological individualists and social realists. The author’s conclusion is that the scope of mechanistic explanation may be limited due to the extreme complexity of many social systems. (shrink)