This chapter contains sections titled: * Notes.

Scientific realism is a thesis about the success of science. Most traditionally: science has been so successful at prediction and guiding action because its best theories are true (or approximately true or increasing in their degree of truth). If science is in the business of doing its best to generate true theories, then we should turn to those theories for explanatory knowledge, predictions, and guidance of our actions and decisions. Views that are popular (...) in contemporary philosophy of science about scientific modeling and the centrality of idealization create several challenges for this traditional form of scientific realism. Yet the basic idea behind scientific realism that science has been and will continue to be epistemically successful is deeply appealing. This chapter explores the challenges posed by idealization and scientific modeling to motivate a scientific realism fully divorced from the idea that science is in the business of generating true theories. On the resulting view, the objects of scientific knowledge are causal patterns, so this knowledge only ever provides partial, simplified accounts of a complex reality. This variety of selective realism better accommodates the nature of our present-day scientific successes and offers an interpretation of scientific progress that resists the antirealist’s pessimism. (shrink)

Alan Musgrave is one of the foremost contemporary defenders of scientific realism. He is also one of the leading exponents of Karl Popper’s critical rationalist philosophy. In this paper, my main focus will be on Musgrave’s realism. However, I will emphasize epistemological aspects of realism. This will lead me to address aspects of his critical rationalism as well.

Associated with Bayesianism is the claim that insofar as thereis anything like scientific theory-commitment, it is not a doxastic commitment to the truth of the theory or any proposition involving the theory, but is rather an essentiallypractical commitment to behaving in accordance with a theory. While there are a number of a priori reasons to think that this should be true, there is stronga posteriori reason to think that it is not in fact true of current (...) class='Hi'>scientific practice.After outlining a feature that distinguishes doxastic from practical commitment, I presentempirical evidence that suggests that, like perhaps all other theoretical commitment,scientific theory-commitment is doxastic. (shrink)

Putnam (1975) infers from the success of a scientific theory to its approximate truth and the reference of its key term. Laudan (1981) objects that some past theories were successful, and yet their key terms did not refer, so they were not even approximately true. Kitcher (1993) replies that the past theories are approximately true because their working posits are true, although their idle posits are false. In contrast, I argue that successful theories (...) which cohere with each other are approximately true, and that their key terms refer. My position is immune to Laudan’s counterexamples to Putnam’s inference and yields a solution to a problem with Kitcher’s position. (shrink)

The problem for the scientist created by using idealizations is to determine whether failures to achieve experimental fit are attributable to experimental error, falsity of theory, or of idealization. Even in the rare case when experimental fit within experimental error is achieved, the scientist must determine whether this is so because of a true theory and fortuitously canceling idealizations, or due to a fortuitous combination of false theory and false idealizations. For the engineer, the problem seems rather different. Experiment (...) for the engineer reveals the closeness of predictive fit that can be achieved by theory and idealization for a particular case. If the closeness of fit is good enough for some practical purpose, the job is done. If not, or there are reasons to consider variation, then the engineer needs to know how well the experimentally determined closeness of fit will extrapolate to new cases. This paper focuses on engineering measures of closeness of fit and the projectibility of those measures to new cases. (shrink)

During the Second World War, the Allies faced a question colloquially known as the “German Tank Problem”: how many tanks will the Axis ever produce? The answer resulted from an elegant probabilistic argument which was used by Allied mathematicians to make successful upper-bound estimates for the total Axis tank production. This paper shows that if two empirical postulates are true of the history of science, a parallel argument can be used to come up with lower-bound estimates for the number (...) of alternative scientific theories that remain undiscovered. The lower bound in question increases proportionally with the number of theories that have already been discovered. So, the problem of underconsideration is a serious problem and it will get worse, not better, as we discover new theories. (shrink)

Scientific realists have claimed that the posit that our theories are (approximately) true provides the best or the only explanation for their success . In response, I revive two non-realists explanations. I show that realists, in discarding them, have either misconstrued the phenomena to be explained or mischaracterized the relationship between these explanations and their own. I contend nonetheless that these non-realist competitors, as well as their realist counterparts, should be rejected; for none of them succeed in (...) explaining a significant list of successes. I propose a related non-realist explanation of success that appears to be the most suitable among those considered. (shrink)

In philosophy of science two questions become central in the discussion of the nature of empirical science: 1) What is a theory, i.e. how is it built up, how does it work? And: 2) How does a theory relate to its corresponding experiential basis? To deal with these two questions modern philosophy of science has devised various ‘models’ on the nature and working of scientific theories. Some aspects of these models are widely held within the community of philosophers (...) of science, but others are still being discussed quite controversially. In this paper, we will consider both kinds of aspects. Particularly, we will analyze how the meaning of scientific concepts is determined; the axiomatic construction of a scientific theory; the idea of model building views as a bridge between theory and experience; the holistic semantic thesis of science; the question about the true of scientific theories; and, finally, the hierarchic structure of theories.En filosofía de la ciencia, dos cuestiones resultan centrales en la discusión acerca de la naturalezade la ciencia empírica: 1) ¿qué es una teoría ?, es decir, ¿cómo estáconstituida y cómo funciona? y 2) ¿cómo se relaciona una teoría con su correspondientebase experiencial? Para tratar estas dos cuestiones, la moderna filosofía de la ciencia ha desarrolladovarios “modelos” sobre la naturaleza y el funcionamiento de lasteorías científicas. Algunos aspectos de estos modelos son ampliamente aceptados por lacomunidad de filósofos de la ciencia, mientras que otros son todavía discutidos de manerabastante controvertida. En este trabajo, consideraremos ambos tipos de aspectos. En particular,analizaremos cómo se determina el significado de los conceptos teóricos, la construcción axiomática de una teoría científica, la idea de las concepciones sobre la construcción de modelos como puente entre la teoría y la experiencia, la tesis semántica holista de la ciencia, la cuestión acerca de la verdad de las teorías científicas y, finalmente, la estructura jerárquica de las teorías. (shrink)

Scientific realists claim that the best of successful rival theories is (approximately) true. Relative realists object that we cannot make the absolute judgment that a theory is successful, and that we can only make the relative judgment that it is more successful than its competitor. I argue that this objection is undermined by the cases in which empirical equivalents are successful. Relative realists invoke the argument from a bad lot to undermine scientific realism and to support (...) relative realism. In response, I construct the argument from double spaces. It is similar to the argument from a bad lot, but threatens many philosophical inferences, including relative realists’ inference from comparative success to comparative truth. (shrink)

Scientific anti-realists who appeal to the pessimistic induction (PI) claim that the theoretical terms of past scientific theories often fail to refer to anything. But on standard views in philosophy of language, such reference failures prima facie lead to certain sentences being neither true nor false. Thus, if these standard views are correct, then the conclusion of the PI should be that significant chunks of current theories are truth-valueless. But that is semantic anti-realism about (...) class='Hi'>scientific discourse—a position most philosophers of science, anti-realists included, consider anathema today. Therefore, proponents of the PI confront a dilemma: either accept semantic anti-realism or reject common semantic views. I examine strategies (with particular emphasis on supervaluations) for the PI proponent to either lessen the sting of this argument, or learn to live with it. 1 Introduction2 Designation Failure 2.1 Designation failure leads to truth-valueless sentences2.1.1 Direct reference theory2.1.2 Fregeanism2.1.3 Accounts of reference-fixing: why ‘phlogiston’ fails to designate 2.2 Objection: sentences exhibiting designation failure are false not truth-valueless 2.3 Avoiding truth-valuelessness via controversial semantic positions3 What to do? Closing the Gaps4 Conclusion. (shrink)

Scientific realists argue that present theories are more successful than past theories, so present theories will not be superseded by alternatives, even though past theories were superseded by alternatives. Alai (2016) objects that although present theories are more successful than past theories, they will be replaced by future theories, just as past theories were replaced by present theories. He contends, however, that past theories were partly true, and that (...) present theories are largely true. I argue that Alai’s discrimination between past and present theories is subject to his own criticism against realists’ discriminations between past and present theories, and also subject to other criticisms that philosophers have raised against scientific realism and pessimism. (shrink)

The three basic kinds of theory development are expansion, contraction and revision by empirical evidence. Under empiricist assumptions, the history of scientific evidence can be represented by a sequence of true and cumulatively increasing evidence sets which in the limit determine the complete structure of the world. Under these assumptions it turns out that purely universal hypotheses are falsifiable with certainty, but verifiable only in the limit, ∀-∃-hypotheses are falsifiable in the limit but not verifiable in the limit, (...) and ∀-∃-∀-hypotheses are neither nor. In the consequence, hypotheses with complex quantification structure can only be confirmed probabilistically. While these results are based on “empiricist” assumptions, the revision of theories which contain theoretical concepts requires either a given partition of possible hypotheses out of which the most promising one is chosen, or it requires steps of abductive belief revision. Revision of scientific theories is based on a Lakatosian preference structure, following the idea that in case of a conflict between theory and data, only peripherical parts of the theory are revised, while the theory’s core is saved from revision as long as possible. Surprisingly, the revision of a false theory by true empirical evidence does not necessarily increase the theory’s truthlikeness. Moreover, increase in empirical adequacy does not necessarily indicate progress in theoretical truthlikeness; a well-known attempt to justify this inference is Putnam’s no-miracles argument. (shrink)

The first part of the paper is a metatheoretical consideration of such philosophy of nature which allows for using scientific results in philosophical analyses. An epistemological 'judgment' of those results becomes a preliminary task of this discipline: this involves taking a position in the controversy between realistic and antirealistic accounts of science. It is shown that a philosopher of nature has to be a realist, if his task to build true ontology of reality is to be achieved. At (...) the same time he cannot be a realist ˗ a possibility that science itself is capable of deciding what beings really exist (a typical realistic claim is that scientific notions refer to something external and truly describe its characteristics) has to be denied, if the philosophy of nature is seen as a discipline investigating the natural world, while being epistemologically different from the natural sciences. A possibility of weakening this opposition is explored in the second part of the paper, where the idea of so-called "postulated ontology" of scientific theories is brought to the consideration. This idea appears in the context of a well-known thesis of the underdetermination of scientific theories by empirical data. It is argued in the paper, that the conviction of the existence of some kind of relation between a given theory and ontological ideas can be derived from this thesis, regardless of its particular form. Therefore, certain solutions to classical philosophical questions can be obtained, in principle, by careful inspection of scientific achievements. However, if the thesis of underdetermination holds, such philosophical solutions are not imposed by science itself. In order to arrive at some kind of ontology based on science, it seems necessary to accept certain philosophical presuppositions in the first place. This and the fact that scientific theories change in time show that although such a kind of ontology is possible, and perhaps desirable, it can never be ultimate. (shrink)

The paper explicates the stages of the author’s philosophical evolution in the light of Kopnin’s ideas and heritage. Starting from Kopnin’s understanding of dialectical materialism, the author has stated that category transformations of physics has opened from conceptualization of immutability to mutability and then to interaction, evolvement and emergence. He has connected the problem of physical cognition universals with an elaboration of the specific system of tools and methods of identifying, individuating and distinguishing objects from a scientific theory domain. (...) The role of vacuum conception and the idea of existence (actual and potential, observable and nonobservable, virtual and hidden) types were analyzed. In collaboration with S.Crymski heuristic and regulative functions of categories of substance, world as a whole as well as postulates of relativity and absoluteness, and anthropic and self-development principles were singled out. Elaborating Kopnin’s view of scientific theories as a practically effective and relatively true mapping of their domains, the author in collaboration with M. Burgin have originated the unified structure-nominative reconstruction (model) of scientific theory as a knowledge system. According to it, every scientific knowledge system includes hierarchically organized and complex subsystems that partially and separately have been studied by standard, structuralist, operationalist, problem-solving, axiological and other directions of the current philosophy of science. 1) The logico-linguistic subsystem represents and normalizes by means of different, including mathematical, languages and normalizes and logical calculi the knowledge available on objects under study. 2) The model-representing subsystem comprises peculiar to the knowledge system ways of their modeling and understanding. 3) The pragmatic-procedural subsystem contains general and unique to the knowledge system operations, methods, procedures, algorithms and programs. 4) From the viewpoint of the problem-heuristic subsystem, the knowledge system is a unique way of setting and resolving questions, problems, puzzles and tasks of cognition of objects into question. It also includes various heuristics and estimations (truth, consistency, beauty, efficacy, adequacy, heuristicity etc) of components and structures of the knowledge system. 5) The subsystem of links fixes interrelations between above-mentioned components, structures and subsystems of the knowledge system. The structure-nominative reconstruction has been used in the philosophical and comparative case-studies of mathematical, physical, economic, legal, political, pedagogical, social, and sociological theories. It has enlarged the collection of knowledge structures, connected, for instance, with a multitude of theoreticity levels and with an application of numerous mathematical languages. It has deepened the comprehension of relations between the main directions of current philosophy of science. They are interpreted as dealing mainly with isolated subsystems of scientific theory. This reconstruction has disclosed a variety of undetected knowledge structures, associated also, for instance, with principles of symmetry and supersymmetry and with laws of various levels and degrees. In cooperation with the physicist Olexander Gabovich the modified structure-nominative reconstruction is in the processes of development and justification. Ideas and concepts were also in the center of Kopnin’s cognitive activity. The author has suggested and elaborated the triplet model of concepts. According to it, any scientific concept is a dependent on cognitive situation, dynamical, multifunctional state of scientist’s thinking, and available knowledge system. A concept is modeled as being consisted from three interrelated structures. 1) The concept base characterizes objects falling under a concept as well as their properties and relations. In terms of volume and content the logical modeling reveals partially only the concept base. 2) The concept representing part includes structures and means (names, statements, abstract properties, quantitative values of object properties and relations, mathematical equations and their systems, theoretical models etc.) of object representation in the appropriate knowledge system. 3) The linkage unites a structures and procedures that connect components from the abovementioned structures. The partial cases of the triplet model are logical, information, two-tired, standard, exemplar, prototype, knowledge-dependent and other concept models. It has introduced the triplet classification that comprises several hundreds of concept types. Different kinds of fuzziness are distinguished. Even the most precise and exact concepts are fuzzy in some triplet aspect. The notions of relations between real scientific concepts are essentially extended. For example, the definition and strict analysis of such relations between concepts as formalization, quantification, mathematization, generalization, fuzzification, and various kinds of identity are proposed. The concepts «PLANET» and «ELEMENTARY PARTICLE» and some of their metamorphoses were analyzed in triplet terms. The Kopnin’s methodology and epistemology of cognition was being used for creating conception of the philosophy of law as elaborating of understanding, justification, estimating and criticizing legal system. The basic information on the major directions in current Western philosophy of law (legal realism, feminism, criticism, postmodernism, economical analysis of law etc.) is firstly introduced to the Ukrainian audience. The classification of more than fifty directions in modern legal philosophy is suggested. Some results of historical, linguistic, scientometric and philosophic-legal studies of the present state of Ukrainian academic science are given. (shrink)

The extra value of novel confirmation over accommodation is explained based on an analysis of the underdetermination of scientific theory building. Novel confirmation can provide information on the number of possible scientific alternatives to a predictively successful theory. This information, in turn, can raise the probability that the given theory is true or will be empirically viable in the future.

In this paper Rudolf Carnap's definition of 'analytic truth' based upon a meaning postulate At, for theoretical predicates of a given scientific theory is subjected to critique. It is argued that this definition is both too exclusive and too inclusive. Assuming that the preceding is correct, At is subjected to further scrutiny to determine how to interpret it and whether, and under what conditions, it need even be true. It is argued that a given At need not be (...) true as a sentence in a scientific theory and that it must be regarded as a confusedly presented rule for the same. It is then argued that even as a semantical rule for the theory, At cannot provide a guarantee of truth for some meaning postulate similar to At in the theory itself. It is thus argued that Carnap's definition of 'analytic truth' for theoretical predicates is unsatisfactory. (shrink)

The subject of this study is materialism, understood in the broadest sense of this concept: both as a philosophical doctrine and as a way of life corresponding to a certain worldview position. The aim is to clarify the objective role of this worldview position in various fields of human activity. At the center of the research is the question of the essence of materialistic ideas about the world hiding behind the sensually given reality to man. The study consists of two (...) parts, published in separate articles. The first part is devoted to the origins of the materialistic worldview and the main question of philosophy, and in this, its second part, the question of the philosophical problems of non-classical physics is considered, the root of these problems is revealed, a comparative worldview analysis of the basic concepts of classical and non-classical physics is carried out and the overall result of the research is summarized. The methodology of this research is the principle of materialistic monism, according to which absolutely all phenomena of the human-cognizable world can be based only on something material, "influencing". The general conclusions of this study are as follows: the roots of the materialistic worldview go back to the origins of life, to such a condition of successful vital activity of living beings, which is inherently ideological; this condition, called by the author the Main Question of Life, is the historical forerunner of the Main Question of Philosophy; the worldview position, equivalent to the materialistic solution of the OVF, is inherent in the vital activity of absolutely all living beings; all people in their daily and practical activities are born materialists. In addition, this study clarifies the idea of the essence of materialistic teaching; shows the exclusivity of the materialistic worldview as the only true worldview; provides a refined definition of the concept of matter; proves the need to shift the "center of gravity" of modern materialistic teaching from dialectics to the principle of materialistic monism; formulates the missing requirement for scientific theories to ensure their ideological viability; shows the ideological inconsistency the main ideas of the new, non-classical physics. (shrink)

The aim of this essay is to argue for a new version of ‘inference-to-the-best-explanation’ scientific realism, which I characterize as Best Theory Realism or ‘BTR’. On BTR, the realist needs only to embrace a commitment to the truth or approximate truth of the best theories in a field, those which are unique in satisfying the highest standards of empirical success in a mature field with many successful but falsified predecessors. I argue that taking our best theories to (...) be true is justified because it provides the best explanation of the predictive success of their predecessors and their own special success. Against standard and especially structural realism, I argue against the claim that the best explanations of the success of theories is provided by identifying their true components, such as structural relations between unobservable, which are preserved across theory change. In particular, I criticize Ladyman's and Carrier’s structural account of the success of phlogiston theory, and Worrall's well-known structural account of the success of Fresnel’s theory of light. I argue that these accounts tacitly assume the truth of our best theories, which in any case provides a better explanation of these theories’ success than the structural account. Structural realism is now defended as the only version of realism that is able to surmount the pessimistic meta-induction and the general problem that successful theories involve ontological claims concerning unobservable entities that are abandoned and falsified in theory-change. I argue that Best Theory Realism can overcome the pessimistic meta-induction and this general problem posed by theory-change. Our best theories possess a characteristic which sharply distinguishes them from their successful but false predecessors. Furthermore ‘inference-to-the-best-explanation’ confirmation can establish the truth of our best theories and thus trumps the pessimistic inductive reasoning which is supposed to show that even our best theories are most likely false in their claims concerning unobservable entities and processes. (shrink)

Ordinarily, in mathematical and scientific practice, the notion of a “theory” is understood as follows: (SCT) Standard Conception of Theories : A theory T is a collection of statements, propositions, conjectures, etc. A theory claims that things are thus and so. The theory may be true, and may be false. A theory T is true if things are as T says they are, and T is false if things are not as T says they are. One (...) can make this Aristotelian explanation more precise, as Tarski showed, in the cases where we understand how to give precise logical analyses of theories, by identifying an interpreted language L, Á) in which T may be formulated. Here L is some formalized language and Á is an L-interpretation. One can define the satisfaction relation ⊨, holding between L-sentences j and L-interpretations, and then define the notion L-sentence j is true in L, Á)” as Á ⊨ j”. What is essential about this is that theories are truth bearers . They are bearers of semantic properties. (shrink)

According to Otto Neurath, the practice of science consists in a large undertaking of setting up and maintaining systems of statements: In unified science we try ... to create a consistent system of protocol statements and nonprotocol statements . When a new statement is presented to us we compare it with the system at our disposal and check whether the new statement is in contradiction with the system or not. If the new statement is in contradiction with the system, we (...) can discard this statement as unusable , for example, the statement: ‘In Africa lions sing only in major chords’ ; however, one can also ‘accept’ the statement and change the system accordingly so that it remains consistent if this statement is added. The statement may then be called ‘true’. (shrink)

According to Otto Neurath, the practice of science consists in a large undertaking of setting up and maintaining systems of statements: In unified science we try... to create a consistent system of protocol statements and nonprotocol statements. When a new statement is presented to us we compare it with the system at our disposal and check whether the new statement is in contradiction with the system or not. If the new statement is in contradiction with the system, we can discard (...) this statement as unusable, for example, the statement: ‘In Africa lions sing only in major chords’ ; however, one can also ‘accept’ the statement and change the system accordingly so that it remains consistent if this statement is added. The statement may then be called ‘true’. (shrink)

By reference to Maxwell's kinetic theory, one feature of hypothetico-deductivism is defended. A scientist need make no inference to a hypothesis when he first proposes it. He may have no reason at all for thinking it is true. Yet it may be worth considering. In developing his kinetic theory there were central assumptions Maxwell made (for example, that molecules are spherical, that they exert contact forces, and that their motion is linear) that he had no reason to believe (...) class='Hi'>true. In this paper I develop a position that explains why they were worth considering, and that rejects the retroductive position that a hypothesis is worth considering when, if true, it would explain the observed data. (shrink)

Critics who use historical evidence to challenge scientific realism have deployed a perfectly natural argumentative strategy that has created a profoundly misguided conception of what would be required to vindicate that challenge. I argue that the question fundamentally in dispute in such debates is neither whether particular terms in contemporary scientific theories will be treated as referential nor whether particular existential commitments will be held true by future scientific communities, but whether the future of science (...) will exhibit the same broad pattern of repeated, profound, and unpredictable changes in theoretical orthodoxy that such historicist critics argue characterizes its past. (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)

This book offers a close and rigorous examination of the arguments for and against scientific realism and introduces key positions in the scientific realism/antirealism debate, which is one of the central debates in contemporary philosophy of science. On the one hand, scientific realists argue that we have good reasons to believe that our best scientific theories are approximately true because, if they were not even approximately true, they would not be able to explain (...) and predict natural phenomena with such impressive accuracy. On the other hand, antirealists argue that the success of science does not warrant belief in the approximate truth of our best scientific theories. This is because the history of science is a graveyard of theories that were once successful but were later discarded. The author eventually settles on a middle ground position between scientific realism and antirealism called "relative realism.". (shrink)

A longstanding philosophical premise perceives simplicity as a desirable attribute of scientific theories. One of several raised justifications for this notion is that simple theories are more likely to indicate the true makeup of natural systems. Qualitatively parsimonious hypotheses and theories keep to a minimum the number of different postulated entities within a system. Formulation of such ontologically simple working hypotheses proved to be useful in the experimental probing of narrowly defined bio systems. It is (...) less certain, however, whether qualitatively parsimonious theories are effective indicators of the true nature of complex biological systems. This paper assesses the success of ontologically simple theories in envisaging the makeup of three complex systems in bacteriology, immunology, and molecular biology. Evidence shows that parsimonious theories completely misconstrued the actual ontologically complex constitutions of the three examined systems. Since evolution and selective pressures typically produce ontologically intricate rather than simple bio systems, qualitatively parsimonious theories are mostly inapt indicators of the true nature of complex biological systems. (shrink)

According to scientific realists, the predictive success of mature theories provides a strong epistemic basis for thinking that such theories are approximately true. However, we know that many theories once regarded as well-confirmed and predictively successful were eventually replaced with successor theories, and some claim this undermines the epistemic confidence we should have in the approximate truth of current science. Selective scientific realists in turn argue that if one can show that the predictive (...) success of some rejected theory T is a function of theoretical claims consistent with current science, then T’s failure doesn’t undermine the claim that current successful theories are approximately true. As such, Selective Scientific Realism (SSR) can be tested through historical examples. Showing that the predictive success of a failed theory is the result of theoretical features later rejected provides a counterexample to SSR. Conversely, SSR is supported if its explanation of the predictive success of failed theories--namely, that the factors which lead to predictive success in the failed theory survive in the successor theory--is able to handle a wide array of historical cases. (shrink)

The following intellectual as opposed to practical reasons for all anthropologists doing fieldwork are examined: fieldwork: (1) records dying societies, (2) corrects ethnocentric bias, (3) helps put customs in their true context, (4) helps get the "feel" of a place, (5) helps to get to understand a society from the inside, (6) enables appreciation of what translating one culture into terms of another involves, (7) makes one a changed man, (8) provides the observational, factual basis for generalizations. None of (...) these is found sufficient to make fieldwork imperative for all anthropologists, although they are quite sufficient to allow that it is imperative for anthropology as a whole that fieldwork in some form by some people continue. In place of the view of fieldwork as an essential preparation for doing anthropology, an alternative role for it is explored: namely as a testing procedure. The implications of this--that the study of problems and the articulation of theories can usefully proceed prior to or even independently of fieldwork--are drawn out, and a new institution of selective fieldwork is proposed. (shrink)

What could be more certain than the fact that 2 plus 2 equals 4? Since the time of the ancient Greeks mathematicians have believed there is little---if anything---as unequivocal as a proved theorem. In fact, mathematical statements that can be proved true have often been regarded as a more solid foundation for a system of thought than any maxim about morals or even physical objects. The 17th-century German mathematician and philosopher Gottfried Wilhelm Leibniz even envisioned a ``calculus'' of reasoning (...) such that all disputes could one day be settled with the words ``Gentlemen, let us compute!'' By the beginning of this century symbolic logic had progressed to such an extent that the German mathematician David Hilbert declared that all mathematical questions are in principle decidable, and he confidently set out to codify once and for all the methods of mathematical reasoning. (shrink)

The terms theory, fact, and hypothesis are sometimes treated as though they had clear meanings and clear relations with one another, but their histories and uses are more complex and diverse than might be expected. The usual sense of these words places them in a relationship of increasing uncertainty. A fact is usually thought of as a described state of affairs in which the descriptions are true or highly supported. A highly corroborated or supported hypothesis is also a fact; (...) a less well corroborated one is still a hypothesis. A hypothesis which is not supported by or corroborated by other evidence would not be a fact, but could become a fact if it came to be corroborated to a high degree of certainty by other evidence. Similarly, a theory, which is a logically connected set of hypotheses, could come to be a fact if the hypotheses in the theory were to be highly corroborated by the evidence. (shrink)

The empirical underdetermination of theories is a philosophical problem which until the last century has not seriously troubled actual science. The reason is that confirmation does not depend only on empirical consequences, and theoretical virtues allow to choose among empirically equivalent theories. Moreover, I argue that the theories selected in this way are not just pragmatically or aesthetically better, but more probably true. At present in quantum mechanics not even theoretical virtues allow to choose among many (...) competing theories and interpretations, but this is because none of them possess those virtues to a sufficient degree. However, first, we can hope for some future advancement. Second, even if no further progress came forth, all the most credited competitors agree on a substantial core of theoretical assumptions. Therefore underdetermination does not show that we cannot be realist on unobservable entities in general, but at most that in particular fields our inquiry may encounter some de facto limits. (shrink)

Human beings are strange animals. Although evolutionary theory has brilliantly accounted for the features we share with other creatures—from the genetic code that directs the construction of our bodies to the details of how our muscles and neurons work—we still stand out in countless ways. Our brains are exceptionally large, we alone have truly grammatical language, and we alone compose symphonies, drive cars, eat spaghetti with a fork and wonder about the origins of the universe.

A crucial aspect of scientific realism is what do we mean by true. In Luk’s theory and model of scientific study, a theory can be believed to be “true” but a model is only accurate. Therefore, what do we mean by a “true” theory in scientific realism? Here, we focus on exploring the notion of truth by some thought experiments and we come up with the idea that truth is related to what we mean (...) by the same. This has repercussion to the repeatability of the experiments and the predictive power of scientific knowledge. Apart from sameness, we also found that truth is related to the granularity of the observation, the limit of detection, the distinguishability of the objects in theory, the simultaneous measurements of objects/processes, the consistencies of the theory and the one-to-one correspondence between terms/events and objects/processes, respectively. While there is no guarantee that we can arrive at the final “true” theory, we have a process/procedure with more and more experiments together with our own ingenuity, to direct us towards such a “true” theory. For quantum mechanics, since a particle is also regarded as a wave, quantum mechanics cannot be considered as a true theory based on the correspondence theory of truth. Failing this, truth may be defined by the coherence theory of truth which is similar to the coherence of beliefs. However, quantum mechanics may not be believed to be a true theory based on the coherence theory of truth because wave properties and particle properties may contradict. Further research is needed to address this problem if we want to regard quantum mechanics as a “true” theory. (shrink)

After the re-emergence of the tradition of virtue ethics in the early 1980s Reinhold Niebuhr has often served as a foil for authors who locate themselves in that tradition. However, this exercise has often proved controversial. This collection of essays continues this work, across a wide range of subjects, with the aim of avoiding some of the polemics that have previously accompanied it. The central thesis of this book is that putting the work of Reinhold Niebuhr and Christian realism in (...) dialogue with contemporary virtue theory is a profitable undertaking. An introductory essay argues against locating Niebuhr as a consequentialist and in favour of thinking of his work in terms of a dispositional ethics Contributors take different positions on whether Niebuhr's dispositional ethics should be considered a form of virtue ethics or an alternative to virtue ethics. Several of the articles relate Niebuhr and Christian realism to particular virtues. Throughout there is an appreciation of the ways in which any Niebuhrian approach to dispositional ethics or virtue must be shaped by a sense of tragedy, paradox, or irony. The most moral disposition will be one which includes doubts about its own virtue. This volume allows for a repositioning of Niebuhr in the context of contemporary moral theory as well as a rereading of the tradition of virtue ethics in the light of a distinctly Protestant, Christian realist and paradoxical view of virtue. As a result, it will be of great interest to scholars of Niebuhr and Christian Ethics and scholars working in Moral Philosophy and the Philosophy of Religion more generally. (shrink)

The teaching of evolutionary theory in U.S. public school science classes has been called into question via numerous school board mandated “evolution is a theory, not a fact” disclaimers that have appeared on science textbooks in recent years and which have been the subject of recent court cases. I evaluate the scientific reasonability of such disclaimers by engaging in conceptual analysis on the crucial terms in the key claim: “evolution is a theory, not a fact.” Assessing various interpretations of (...) the key claim, I argue that, for any interpretation, it is either clearly false, or trivially true, or not even marginally reasonable as a rationale, of the sort pertaining to science, that justifies the use of the disclaimer or the advice it recommends to students. I conclude that such disclaimers haveno scientific merit. Finally, I offer brief remarks about what we may learn from the use of the disclaimers, as well as a word about the relevance of methodological naturalism to current disputes, and likely ones in the near future, over evolution. (shrink)

The teaching of evolutionary theory in U.S. public school science classes has been called into question via numerous school board mandated “evolution is a theory, not a fact” disclaimers that have appeared on science textbooks in recent years and which have been the subject of recent court cases. I evaluate the scientific reasonability of such disclaimers by engaging in conceptual analysis on the crucial terms in the key claim: “evolution is a theory, not a fact.” Assessing various interpretations of (...) the key claim, I argue that, for any interpretation, it is either clearly false, or trivially true, or not even marginally reasonable as a rationale, of the sort pertaining to science, that justifies the use of the disclaimer or the advice it recommends to students. I conclude that such disclaimers haveno scientific merit. Finally, I offer brief remarks about what we may learn from the use of the disclaimers, as well as a word about the relevance of methodological naturalism to current disputes, and likely ones in the near future, over evolution. (shrink)

A prominent type of scientific realism holds that some important parts of our best current scientific theories are at least approximately true. According to such realists, radically distinct alternatives to these theories or theory-parts are unlikely to be approximately true. Thus one might be tempted to argue, as the prominent anti-realist Kyle Stanford recently did, that realists of this kind have little or no reason to encourage scientists to attempt to identify and develop theoretical (...) alternatives that are radically distinct from currently accepted theories in the relevant respects. In other words, it may seem that realists should recommend that scientists be relatively conservative in their theoretical endeavors. This paper aims to show that this argument is mistaken. While realists should indeed be less optimistic of finding radically distinct alternatives to replace current theories, realists also have greater reasons to value the outcomes of such searches. Interestingly, this holds both for successful and failed attempts to identify and develop such alternatives. (shrink)

Scientific realism is the view that our best scientific theories can be regarded as (approximately) true. This is connected with the view that science, physics in particular, and metaphysics could (and should) inform one another: on the one hand, science tells us what the world is like, and on the other hand, metaphysical principles allow us to select between the various possible theories which are underdetermined by the data. Nonetheless, quantum mechanics has always been regarded (...) as, at best, puzzling, if not contradictory. As such, it has been considered for a long time at odds with scientific realism, and thus a naturalized quantum metaphysics was deemed impossible. Luckily, now we have many quantum theories compatible with a realist interpretation. However, scientific realists assumed that the wave-function, regarded as the principal ingredient of quantum theories, had to represent a physical entity, and because of this they struggled with quantum superpositions. In this paper I discuss a particular approach which makes quantum mechanics compatible with scientific realism without doing that. In this approach, the wave-function does not represent matter which is instead represented by some spatio-temporal entity dubbed the primitive ontology: point-particles, continuous matter fields, space-time events. I argue how within this framework one develops a distinctive theory-construction schema, which allows to perform a more informed theory evaluation by analyzing the various ingredients of the approach and their inter-relations. (shrink)

Broadly speaking, the contemporary scientific realist is concerned to justify belief in what we might call theoretical truth, which includes truth based on ampliative inference and truth about unobservables. Many, if not most, contemporary realists say scientific realism should be treated as ‘an overarching scientific hypothesis’ (Putnam 1978, p. 18). In its most basic form, the realist hypothesis states that theories enjoying general predictive success are true. This hypothesis becomes a hypothesis to be tested. To (...) justify our belief in the realist hypothesis, realists commonly put forward an argument known as the ‘no-miracles argument’. With respect to the basic hypothesis this argument can be stated as follows: it would be a miracle were our theories as successful as they are, were they not true; the only possible explanation for the general predictive success of our scientific theories is that they are true. (shrink)

This paper discusses the 'realist' theory of scientific progress which claims that science makes progress so far as it succeeds in gaining true or highly truthlike information about the reality. Some difficulties of this theory are pointed out by considering Peirce's view of truth as the limit of inquiry. A parallelism is suggested between various theories of physical probability and epistemological views about scientific knowledge.

In place of the traditional epistemological view of knowledge as justified true belief we argue that artificial intelligence and law needs an evidence-based epistemology according to which scientific knowledge is based on critical analysis of evidence using argumentation. This new epistemology of scientific evidence (ESE) models scientific knowledge as achieved through a process of marshaling evidence in a scientific inquiry that results in a convergence of scientific theories and research results. We show how (...) a dialogue interface of argument from expert opinion, along with its set of critical questions, provides the argumentation component of the ESE. It enables internal scientific knowledge to be translated over into a wider arena in which individual nonexpert citizens and groups can make use of it. The external component shows how evidence is presented and used in a legal procedural setting that includes fact-finding, weighing the credibility of expert witnesses, and critical questioning of arguments. The paper critically reviews the standards of admissibility of scientific evidence using the ESE. (shrink)

This paper considers criticisms of the author's Science and Scepticism advanced by Fred D' Agostino, Graham Oddie, Elie Zahar, Alan Musgrave, and John Worrall. The criticisms concern the following topics: the aim of science, unified theoryhood, the empirical basis, corroboration by already known evidence, the idea that scientific theories need be no more than possibly true, and the pragmatic problem of induction. Various clarifications and improvements result, and on the last topic the author significantly modifies his position.

Extensional scientific realism is the view that each believable scientific theory is supported by the unique first-order evidence for it and that if we want to believe that it is true, we should rely on its unique first-order evidence. In contrast, intensional scientific realism is the view that all believable scientific theories have a common feature and that we should rely on it to determine whether a theory is believable or not. Fitzpatrick argues that (...) extensional realism is immune, while intensional realism is not, to the pessimistic induction. I reply that if extensional realism overcomes the pessimistic induction at all, that is because it implicitly relies on the theoretical resource of intensional realism. I also argue that extensional realism, by nature, cannot embed a criterion for distinguishing between believable and unbelievable theories. (shrink)

Scientific realism is the view that our best scientific theories give approximately true descriptions of both observable and unobservable aspects of a mind-independent world. Debates between realists and their critics are at the very heart of the philosophy of science. Anjan Chakravartty traces the contemporary evolution of realism by examining the most promising strategies adopted by its proponents in response to the forceful challenges of antirealist sceptics, resulting in a positive proposal for scientific realism today. (...) He examines the core principles of the realist position, and sheds light on topics including the varieties of metaphysical commitment required, and the nature of the conflict between realism and its empiricist rivals. By illuminating the connections between realist interpretations of scientific knowledge and the metaphysical foundations supporting them, his book offers a compelling vision of how realism can provide an internally consistent and coherent account of scientific knowledge. (shrink)

In the past thirty years, two fundamental issues have emerged in the philosophy of science. One concerns the appropriate attitude we should take towards scientific theories--whether we should regard them as true or merely empirically adequate, for example. The other concerns the nature of scientific theories and models and how these might best be represented. In this ambitious book, da Costa and French bring these two issues together by arguing that theories and models should (...) be regarded as partially rather than wholly true. They adopt a framework that sheds new light on issues to do with belief, theory acceptance, and the realism-antirealism debate. The new machinery of "partial structures" that they develop offers a new perspective from which to view the nature of scientific models and their heuristic development. Their conclusions will be of wide interest to philosophers and historians of science. (shrink)

A scientific theory is successful, according to Stanford (2000), because it is suficiently observationally similar to its corresponding true theory. The Ptolemaic theory, for example, is successful because it is sufficiently similar to the Copernican theory at the observational level. The suggestion meets the scientific realists' request to explain the success of science without committing to the (approximate) truth of successful scientific theories. I argue that Stanford's proposal has a conceptual flaw. A conceptually sound explanation, (...) I claim, respects the ontological order between properties. A dependent property is to be explained in terms of its underlying property, not the other way around. The applicability of this point goes well beyond the realm of the debate between scientific realists and antirealists. Any philosophers should keep the point in mind when they attempt to give an explanation of a property in their field whatever it may be. (shrink)

It is often thought that questions of reference are crucial in assessing scientific realism, construed as the view that successful theories are at least approximately true descriptions of the unobservable; realism is justified only if terms in empirically successful theories generally refer to genuinely existing entities or properties. In this paper this view is questioned. First, it is argued that there are good reasons to think that questions of realism are largely decided by convention and carry (...) no epistemic significance. An alternative conception of realism is then proposed, which focuses on the Ramsey sentences of scientific theories, constructed in the manner of David Lewis's 'How to define theoretical terms'. It is argued that because the Ramsey sentence of a theory preserves the epistemically significant part of the theory's content without generating commitments to any particular conclusions about reference, the realism issue is better addressed by asking whether Ramsey sentences of theories, rather than the theories themselves, are approximately true. (shrink)