I present a new definition of verisimilitude, framed in terms of causes. Roughly speaking, according to it a scientific model is approximately true if it captures accurately the strengths of the causes present in any given situation. Against much of the literature, I argue that any satisfactory account of verisimilitude must inevitably restrict its judgments to context-specific models rather than general theories. We may still endorse—and only need—a relativized notion of scientific progress, understood now not as global advance (...) but rather as the mastering of particular problems. This also sheds new light on longstanding difficulties surrounding language-dependence and models committed to false ontologies. (shrink)

First, I argue that scientific progress is possible in the absence of increasing verisimilitude in science’s theories. Second, I argue that increasing theoretical verisimilitude is not the central, or primary, dimension of scientific progress. Third, I defend my previous argument that unjustified changes in scientific belief may be progressive. Fourth, I illustrate how false beliefs can promote scientific progress in ways that cannot be explicated by appeal to verisimilitude.

It seems like we care about at least two features of our credence function: gradational-accuracy and verisimilitude. Accuracy-first epistemology requires that we care about one feature of our credence function: gradational-accuracy. So if you want to be a verisimilitude-valuing accuracy-firster, you must be able to think of the value of verisimilitude as somehow built into the value of gradational-accuracy. Can this be done? In a recent article, Oddie has argued that it cannot, at least if we want (...) the accuracy measure to be proper. I argue that it can. 1Introduction2Some Nuts and Bolts3First Attempts4Oddie’s Constraint5The Good5.1Proximity over the disagreement metric 5.2Proximity over the magnitude metric 6The Bad and the Ugly 7Some More Good: The Role of Evenness of Distribution 8Some More Bad: Which Propositions to Privilege? 9Concluding Thoughts: Accuracy and Practical Value. (shrink)

In The Philosophy of Information, Luciano Floridi presents a theory of “strongly semantic information”, based on the idea that “information encapsulates truth” (the so-called “veridicality thesis”). Starting with Popper, philosophers of science have developed different explications of the notion of verisimilitude or truthlikeness, construed as a combination of truth and information. Thus, the theory of strongly semantic information and the theory of verisimilitude are intimately tied. Yet, with few exceptions, this link has virtually pass unnoticed. In this paper, (...) we briefly survey both theories and offer a critical comparison of strongly semantic information and related notions, like truth, verisimilitude, and partial truth. (shrink)

This paper investigates how the simulation of intelligence, an activity that has been considered the notional task of Artificial Intelligence, does not comprise its duplication. Briefly touching on the distinction between conceivability and possibility, and commenting on Ryan’s approach to fiction in terms of the interplay between possible worlds and her principle of minimal departure, we specify verisimilitude in Artificial Intelligence as the accurate resemblance of intelligence by its simulation and, from this characterization, claim the metaphysical impossibility of duplicating (...) intelligence, as neither verisimilarly nor convincingly simulating intelligence involves its duplication. To this end, we argue by a representative case of simulation that, albeit conceivable, Turing’s test for machine intelligence wrongly equates the occurrence of indistinguishable intelligence performance to intelligence duplication, which is grounded in a prima facie conceivable but metaphysically impossible view that separates intelligence from its origin. Finally, we establish the following criterion for evaluating simulation in Artificial Intelligence: simulations succeed in AI if and only if they are able to epistemically persuade human beings that intelligence has been duplicated, that is, if and only if verisimilar simulations can convincingly minimally depart from actual intelligence. (shrink)

The question of truth is a broadly broached subject in Philosophy as it features along the entire historical and polemical growth of the discipline right from the time of the Ancients down to our Post-Modern era. Yet, the delimiting realization of being unable to register general success in our dogged attempts at truth and knowledge, mostly stares us blankly in the face, for matters on which philosophy endeavours to speculate on, are beyond the reach of definite knowledge.1 Our theories of (...) the universe open up to modifications, refutations, and further propositions, evidencing a historical development in philosophical inquiry. This generally is the growth of our science, of our knowledge. This paper critically seeks to examine Popper’s notion of verisimilitude. It takes us through the scientist’s journey from ignorance to truth, and the difference between probability and verisimilitude. It addresses the relevance of the theory of content in understanding verisimilitude, under its distinctions as quantitative and qualitative. Finally, it discusses corroboration and the criteria for theory-choice. (shrink)

This note aims at critically assessing a little-noticed proposal made by Popper in the second edition of "Objective Knowledge" to the effect that verisimilitude of scientific theories should be made relative to the problems they deal with. Using a simple propositional calculus formalism, it is shown that the "relativized" definition fails for the very same reason why Popper's original concept of verisimilitude collapsed -- only if one of two theories is true can they be compared in terms of (...) the suggested definition of verisimilitude. (shrink)

ABSTRACTThe question of how common usage could be constitutive for the meaning of linguistic expressions has been discussed by Renaissance philosophers such as Lorenzo Valla, and it also played an important role in Renaissance theories of juridical interpretation. An aspect of the analysis of common usage in Renaissance theories of juridical interpretation that concerns the role of presumption has not yet found much attention. Renaissance jurists such as Simone de Praetis, Nicolaus Everardus, and Aimone de Cravetta saw that both the (...) usage of Latin by practitioners of law and the vernacular common usage of ordinary people often differed from the technical definition of legal concepts as laid down by ancient jurists or modern legislators. In some cases, they ascribed both to Latin and to vernacular common usage the power of changing the meaning of juridical terms. Still, they were aware of the fact that matters of common usage involve always a degree of uncertainty. The methodological notion of presumption is one of the concepts that figured most prominently in Renaissance approaches to the problem of uncertainty, and, in particular, it was applied in the analysis of meaning-change of legal concepts through common usage. (shrink)

We provide a 'verisimilitudinarian' analysis of the well-known Linda paradox or conjunction fallacy, i.e., the fact that most people judge the probability of the conjunctive statement "Linda is a bank teller and is active in the feminist movement" (B & F) as more probable than the isolated statement "Linda is a bank teller" (B), contrary to an uncontroversial principle of probability theory. The basic idea is that experimental participants may judge B & F a better hypothesis about Linda as compared (...) to B because they evaluate B & F as more verisimilar than B. In fact, the hypothesis "feminist bank teller", while less likely to be true than "bank teller", may well be a better approximation to the truth about Linda. (shrink)

The inclusion of De astrologia in the Lucianic corpus has been disputed for centuries since it appears to defend astrological practices that Lucian elsewhere undercuts. This paper argues for Lucian’s authorship by illustrating its masterful subversion of a captatio benevolentiae and subtle rejection of Stoic astrological practices. The narrator begins the text by blaming phony astrologers and their erroneous predictions for inciting others to “denounce the stars and hate astrology” (ἄστρων τε κατηγοροῦσιν καὶ αὐτὴν ἀστρολογίην μισέουσιν, 2). The narrator assures (...) readers that he, the knowledgeable astrologer, will correct for the “stupidity and laziness” (ἀμαθίῃ καὶ ῥαθυμίῃ, ibid.) that bring about false predictions. The narrator’s credibility quickly decays when he attempts to recast Orpheus, Bellerophon, Icarus, Daedalus, and a host of other mythological figures as Greek astrologers. Lucian’s audience would expect such far-fetched interpretations of myth from the stereotypical Stoic philosopher, a character lampooned elsewhere in the Lucianic corpus. (shrink)

ABSTRACTThis discussion note aims to contribute to the ongoing debate over the nature of scientific progress. I argue against the semantic view of scientific progress, according to which scientific progress consists in approximation to truth or increasing verisimilitude. If the semantic view of scientific progress were correct, then scientists would make scientific progress simply by arbitrarily adding true disjuncts to their hypotheses or theories. Given that it is not the case that scientists could make scientific progress simply by arbitrarily (...) adding true disjuncts to their hypotheses or theories, it follows that the semantic view of scientific progress is incorrect. (shrink)

The Linda paradox is a key topic in current debates on the rationality of human reasoning and its limitations. We present a novel analysis of this paradox, based on the notion of verisimilitude as studied in the philosophy of science. The comparison with an alternative analysis based on probabilistic confirmation suggests how to overcome some problems of our account by introducing an adequately defined notion of verisimilitudinarian confirmation.

This chapter outlines improvements and developments made to aim-oriented empiricism since "From Knowledge to Wisdom" was first published in 1984. It argues that aim-oriented empiricism enables us to solve three fundamental problems in the philosophy of science: the problems of induction and verisimilitude, and the problem of what it means to say of a physical theory that it is unified.

In my book Understanding Scientific Progress, I argue that fundamental philosophical problems about scientific progress, above all the problem of induction, cannot be solved granted standard empiricism (SE), a doctrine which most scientists and philosophers of science take for granted. A key tenet of SE is that no permanent thesis about the world can be accepted as a part of scientific knowledge independent of evidence. For a number of reasons, we need to adopt a rather different conception of science which (...) I call aim-oriented empiricism (AOE). This holds that we need to construe physics as accepting, as a part of theoretical scientific knowledge, a hierarchy of metaphysical theses about the comprehensibility and knowability of the universe, these theses becoming increasingly insubstantial as we go up the hierarchy. Fundamental philosophical problems about scientific progress, including the problems of induction, theory unity, verisimilitude and scientific discovery, which cannot be solved granted SE, can be solved granted AOE. In his review of Understanding Scientific Progress, Moti Mizrahi makes a number of criticisms, almost all of which are invalid in quite elementary ways. (shrink)

This chapter indicates a number of improvements and developments that have been made to aim-oriented empiricism since the publication of the first edition of "From Knowledge to Wisdom" in 1984. It also argues that aim-oriented empiricism enables us to solve three fundamental problems in the philosophy of science: the problems of induction, verisimilitude, and the problem of what it means to say of a physical theory that it is unified - a problem that baffled even Einstein. This chapter improves (...) earlier attempts at solving these problems, given aim-oriented empiricism. (shrink)

In this three-part paper, my concern is to expound and defend a conception of science, close to Einstein's, which I call aim-oriented empiricism. I argue that aim-oriented empiricsim has the following virtues. (i) It solve the problem of induction; (ii) it provides decisive reasons for rejecting van Fraassen's brilliantly defended but intuitively implausible constructive empiricism; (iii) it solves the problem of verisimilitude, the problem of explicating what it can mean to speak of scientific progress given that science advances from (...) one false theory to another; (iv) it enables us to hold that appropriate scientific theories, even though false, can nevertheless legitimately be interpreted realistically, as providing us with genuine , even if only approximate, knowledge of unobservable physical entities; (v) it provies science with a rational, even though fallible and non-mechanical, method for the discovery of fundamental new theories in physics. In the third part of the paper I show that Einstein made essential use of aim-oriented empiricism in scientific practice in developing special and general relativity. I conclude by considering to what extent Einstein came explicitly to advocate aim-oriented empiricism in his later years. (shrink)

Karl Popper (1902-1994) was one of the most influential philosophers of science of the 20th century. He made significant contributions to debates concerning general scientific methodology and theory choice, the demarcation of science from non-science, the nature of probability and quantum mechanics, and the methodology of the social sciences. His work is notable for its wide influence both within the philosophy of science, within science itself, and within a broader social context. Popper’s early work attempts to solve the problem of (...) demarcation and offer a clear criterion that distinguishes scientific theories from metaphysical or mythological claims. Popper’s falsificationist methodology holds that scientific theories are characterized by entailing predictions that future observations might reveal to be false. When theories are falsified by such observations, scientists can respond by revising the theory, or by rejecting the theory in favor of a rival or by maintaining the theory as is and changing an auxiliary hypothesis. In either case, however, this process must aim at the production of new, falsifiable predictions. While Popper recognizes that scientists can and do hold onto theories in the face of failed predictions when there are no predictively superior rivals to turn to. He holds that scientific practice is characterized by its continual effort to test theories against experience and make revisions based on the outcomes of these tests. By contrast, theories that are permanently immunized from falsification by the introduction of untestable ad hoc hypotheses can no longer be classified as scientific. Among other things, Popper argues that his falsificationist proposal allows for a solution of the problem of induction, since inductive reasoning plays no role in his account of theory choice. Along with his general proposals regarding falsification and scientific methodology, Popper is notable for his work on probability and quantum mechanics and on the methodology of the social sciences. Popper defends a propensity theory of probability, according to which probabilities are interpreted as objective, mind-independent properties of experimental setups. Popper then uses this theory to provide a realist interpretation of quantum mechanics, though its applicability goes beyond this specific case. With respect to the social sciences, Popper argued against the historicist attempt to formulate universal laws covering the whole of human history and instead argued in favor of methodological individualism and situational logic. Table of Contents 1. Background 2. Falsification and the Criterion of Demarcation a. Popper on Physics and Psychoanalysis b. Auxiliary and Ad Hoc Hypotheses c. Basic Sentences and the Role of Convention d. Induction, Corroboration, and Verisimilitude 3. Criticisms of Falsificationism 4. Realism, Quantum Mechanics, and Probability 5. Methodology in the Social Sciences 6. Popper’s Legacy 7. References and Further Reading a. Primary Sources b. Secondary Sources -/- . (shrink)

In this paper, I describe a category of political values that I call “institutional values.” An institutional value is distinct from an ordinary political value like justice by having both descriptive and evaluative components. I defend a method of sorting out correct from incorrect conceptions of an institutional value that relies on two ideas: coherence and verisimilitude.

Este artículo analiza el Test de Turing, uno de los métodos más famosos y controvertidos para evaluar la existencia de vida mental en la Filosofía de la Mente, revelando dos mitos filosóficos comúnmente aceptados y criticando su dogma. En primer lugar, se muestra por qué Turing nunca propuso una definición de inteligencia. En segundo lugar, se refuta que el Test de Turing involucre condiciones necesarias o suficientes para la inteligencia. En tercer lugar, teniendo presente el objetivo y el tipo de (...) evidencia que recopila, se considera si el Test de Turing cuenta como un experimento científico a la luz de la concepción de Fodor. Finalmente, se argumenta que Turing simpatiza con una forma de Conductismo, confundiendo la simulación -un proceso epistémico que, gobernado por la verosimilitud, es eficaz cuando alguien es causado a creer que el computador es inteligente- con la duplicación de la inteligencia en cuanto propiedad, lo que ocurre a nivel ontológico. Tal confusión implica un dogma y explica por qué, a pesar de haber sido propuesto como una solución final a la problemática de si las máquinas programadas piensan, el Test de Turing ha tenido precisamente el efecto contrario en más de cinco décadas, estimulando el debate filosófico en torno a la naturaleza de lo mental.Debunking two commonly held myths and fleshing out its dogma, this article deals with the Turing Test, one of the most famous and controversial methods to assess the existence of mental life in the Philosophy of Mind. Firstly, I show why Turing never gave a definition of intelligence. Secondly, I dispute claims that the Turing Test provides a necessary or sufficient condition of intelligence. Thirdly, in view of its aim and the sort of evidence it offers, I consider whether or not Turing's test can be regarded as a scientific experiment in light of Fodor's theory. Finally, I argue that Turing is committed to a form of behaviourism and, further, confuses simulation -an epistemic process which, being governed by verisimilitude, is successful when someone is caused to believe that the computer is intelligent-with the duplication of intelligence qua property, which takes place at an ontological level. This confusion involves a dogma and explains why, despite being devised as the final solution to the dilemma of whether or not programmed machines think, the Turing Test has precisely had the opposite effect for longer than five decades, stimulating the philosophical discussion on the nature of mind. (shrink)

Starting from the sixties of the past century theory change has become a main concern of philosophy of science. Two of the best known formal accounts of theory change are the post-Popperian theories of verisimilitude (PPV for short) and the AGM theory of belief change (AGM for short). In this paper, we will investigate the conceptual relations between PPV and AGM and, in particular, we will ask whether the AGM rules for theory change are effective means for approaching the (...) truth, i.e., for achieving the cognitive aim of science pointed out by PPV. First, the key ideas of PPV and AGM and their application to a particular kind of propositional theories - the so called "conjunctive propositions" - will be illustrated. Afterwards, we will prove that, as far as conjunctive propositions are concerned, AGM belief change is an effective tool for approaching the truth. (shrink)

Cosmological speculation about the ultimate nature of the universe, being necessary for science to be possible at all, must be regarded as a part of scientific knowledge itself, however epistemologically unsound it may be in other respects. The best such speculation available is that the universe is comprehensible in some way or other and, more specifically, in the light of the immense apparent success of modern natural science, that it is physically comprehensible. But both these speculations may be false; in (...) order to take this possibility into account, we need to adopt an hierarchy of increasingly contentless cosmological conjectures until we arrive at the conjecture that the universe is such that it is possible for us to acquire some knowledge of something, a conjecture which we are justified in accepting as knowledge since doing so cannot harm the pursuit of knowledge in any circumstances whatsoever. As a result of adopting such an hierarchy of increasingly contentless cosmological conjectures in this way, we maximize our chances of adopting conjectures that promote the growth of knowledge, and minimize our chances of taking some cosmological assumption for granted that is false and impedes the growth of knowledge. The hope is that as we increase our knowledge about the world we improve (lower level) cosmological assumptions implicit in our methods, and thus in turn improve our methods. As a result of improving our knowledge we improve our knowledge about how to improve knowledge. Science adapts its own nature to what it learns about the nature of the universe, thus increasing its capacity to make progress in knowledge about the world. This aim-oriented empiricist conception of science solves outstanding problems in the philosophy of science such as the problems of induction, simplicity and verisimilitude. (shrink)

This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research. The typical goals of ABM social science researchers are discussed along with the culture-dish nature of their computer experiments. The applicability of ABM for science more generally is also considered, with special attention to physics. Finally, two distinct types of ABM applications are summarized in order to illustrate concretely the duality (...) of ABM: Real-world systems can not only be simulated with verisimilitude using ABM; they can also be efficiently and robustly designed and constructed on the basis of ABM principles. (shrink)

A methodology of science must satisfy two requirements: (i) It must be ampliative: the theories which it generates must make statements that go far beyond any data or observations that may have motivated those theories in the first place. (ii) It must be epistemically probative: it must somehow provide a warrant for believing that the theories so produced are correct, or at least partially correct, even if they can never be fully confirmed. These two requirements pull in opposite directions, and (...) attempts to specify the “scientific method” often focus on one to the exclusion of the other. On a few points there now exists something approaching a consensus. (i) Scientific hypotheses — including, particularly, statements about unobserved or unobservable entities or mechanisms — remain conjectural, no matter how frequently predictions based on those hypotheses are found to coincide with data. (ii) A good (best?) indicator of a theory’s verisimilitude is its ability to successfully predict phenomena which it was not specifically designed to predict. I discuss these ideas with particular reference to cosmological theories. (shrink)

In Logik der Forschung (1934) and later works, Karl Popper proposed a set of methodological rules for scientists. Among these were requirements that theories should evolve in the direction of increasing content, and that new theories should only be accepted if some of their novel predictions are experimentally confirmed. There are currently two, viable theories of cosmology: the standard cosmological model, and a theory due to Mordehai Milgrom called MOND. Both theories can point to successes and failures, but only MOND (...) has repeatedly made novel predictions that were subsequently found to be correct. Standard-model cosmologists, by contrast, have almost always responded to new observations in a post-hoc manner, adjusting or augmenting their theory as needed to obtain correspondence with the facts. I argue that these methodological differences render a comparison of the two theories in terms of their ‘truthlikeness’ or ‘verisimilitude’ essentially impossible since the two groups of scientists achieve correspondence with the facts in fundamentally different ways, and I suggest that a better guide to the theories’ progress toward the truth might be the methodologies themselves. (shrink)

In my book The Comprehensibility of the Universe (OUP, 1998), I argue for a new conception of science that construes science as adopting a hierarchy of increasingly contentless cosmological assumptions about the comprehensibility and knowability of the universe. This view, I argue, solves outstanding problems about science, such as problems of induction, simplicity and verisimilitude. In his essay review of my book (Philosophy 75, 2000, 296–309) Friedel Weinert criticizes me for defending a number of views about science. But, as (...) I make clear from quotations from the book, I do not defend the views that Weinert attributes to me. (shrink)

There is a large literature exploring how accuracy constrains rational degrees of belief. This paper turns to the unexplored question of how accuracy constrains knowledge. We begin by introducing a simple hypothesis: increases in the accuracy of an agent’s evidence never lead to decreases in what the agent knows. We explore various precise formulations of this principle, consider arguments in its favour, and explain how it interacts with different conceptions of evidence and accuracy. As we show, the principle has some (...) noteworthy consequences for the wider theory of knowledge. First, it implies that an agent cannot be justified in believing a set of mutually inconsistent claims. Second, it implies the existence of a kind of epistemic blindspot: it is not possible to know that one’s evidence is misleading. (shrink)

It has been claimed that cognitive therapists endorse sets of uplifting beliefs BECAUSE the client feels better believing them: not because they lead towards greater verisimilitude, a purported cognitivists’ hallmark of rational choice. Since standard cognitive therapists sometimes ask us to choose sets of beliefs that interpret evidence on the basis of greater individual happiness (all other things being equal), this suggests that the basis of choice goes beyond rationality. I contend that the case against the rationality of cognitive (...) therapy is not made if one allows a broadening of what to count as rational cognitive therapy. The rationality of therapy consists in how well it achieves its goal. My claim is that at least one goal is, or ought to be, greater information value of the client’ dialogues. Among other things, information values encode affect. Understanding reason in this way effectively transforms our understanding of rationality in a way that may be incommensurable with the standard view. If these radically divergent approaches to cognitive therapy are incommensurable, there is no way to discover that we are still talking about the same thing. So, a challenge for this competing view is to say on what basis the term cognitive therapy may be projectable. I identify some constraints on this project and sketch a possible solution. (shrink)

Despite the criticism of Karl Popper's falsifiability theory for the demarcation between science and non-science, mainly pseudo-science, this criterion is still very useful, and perfectly valid after it was perfected by Popper and his followers. Moreover, even in his original version, considered by Lakatos as "dogmatic", Popper did not assert that this methodology is an absolute demarcation criterion: a single counter-example is not enough to falsify a theory; a theory can legitimately be saved from falsification by introducing an auxiliary hypothesis. (...) Compared to Kuhn's theory of revolutions, which he himself later dissociated from it transforming it into a theory of "micro-revolutions," I consider that Popper's demarcation methodology, along with the subsequent development proposed by him, including the corroboration and the verisimilitude, though imperfect, is not only valid today, but it is still the best demarcation methodology. For argumentation, I used the main works of Popper dealing with this issue, and his main critics and supporters. After a brief presentation of Karl Popper, and an introduction to the demarcation problem and the falsification methodology, I review the main criticisms and the arguments of his supporters, emphasizing the idea that Popper has never put the sign of equality between falsification and rejection. Finally, I present my own conclusions on this issue. CONTENTS -/- Abstract Introduction 1 The demarcation problem 2 Pseudoscience 3 Falsifiability 4 Falsification and refutation 5 Extension of falsifiability 6 Criticism of falsifiability 7 Support of falsifiability 8 The current trend Conclusions Bibliography Notes -/- DOI: 10.58679/MM99220. (shrink)

This paper revisits the epistemological doctrine of fallibilism and discusses its overarching consequences to the whole structure of human knowledge and its extended applications. Fallibilism claims that we can never have absolute certainty to justify our knowledge claims. That means, knowledge needs not have an absolute, definitive warrants. Consequently, using the discursive method of enquiry, the paper argues that, if fallibilism is true, then, the concept of knowledge is redefined. Hence, knowledge would no longer mean the preclusion of error but (...) the contextual absence of doubt. Accordingly, knowledge in this schema, would only be an approximation [or even a verisimilitude] to the truth or a working tool for future progress so long as it serves the purposes of the present. It is the conclusion of the paper, that aside its apparent epistemic implications, fallibilism has also non-epistemic implications which ranges from a more general change in attitude towards our stances to a more applied and direct consequences in both legal, religious or moral enterprises of human endeavours. (shrink)

This article concentrates on a couple of semiotic approaches working out, on the one hand, the mediated character of reducing interpretative trajectories to the actual translation into the language of narratives (A. J. Greimas) or the language of textuality (F. Rastier), and, on the other, the direct, apparently unmediated passage to the visceral physicality of the verbal signifying system, which make semantic and syntactic components perfunctory to interpretation in a way (J. Kristeva). Greimassian universal narrative grammar dismantles signifying units, navigating (...) in the network of narrative utterances. Rastier's approach structures textual artifacts by unearthing semantic constituents crucial for semiotic analysis. Kristeva examines what is behind the curtain instead of sorting out the significance of the text's content as a special category and the possibility of procedure allowing its interpretation. These three authors are compared in the context of two approaches that come to grips with the author/reader pair. (shrink)

Each chapter covers one topic and largely consists of brief summaries of arguments for and against various themes. The topic of the first chapter is whether and on what basis a film can be considered art. Photography is used as an analogy. The arguments range from considering the mechanical form of cinema as an obstacle to arthood to arguments considering cinema’s mechanical nature as essential to its arthood; the former by those who ground art in human agency, the latter by (...) those who ground art in some conception of verisimilitude. Those worried by the former argument, emphasize editing and montage effects as the essential aspects of cinema, the idea being that the less representational veracity a film presented, the more it could be classified as art. On the other hand, for those who equate the art of film with verisimilitude, it is argued that the realism of film is superior to the realism of the other representational arts due to film’s retrieval of images as opposed to merely representing them. (shrink)

The traditional emphasis on the physics of the very small is questioned, and the suggestion made that a crucial test of contributions to the philosophy of science ought to be their applicability to areas which are more representative of the scientific enterprise. Life science is cited as just such an area. It is quantum physics, rather than biology, which nurtures anti-realism. The most respected anti-realism today is that provided by Bas C van Fraassen; and the persuasiveness of his "Constructive Empiricism" (...) is attested to by the failure of avowed realists, such as Ian Hacking, to distance themselves very far from van Fraassen's ideas. A detailed critique of van Fraassen is presented with particular attention paid to his ideas on scientific explanation - the question of whether good explanations are true explanations being one which tends to divide realist and anti-realist. The conclusion is reached that, while realism raises - and fails to answer - a number of philosophical questions, the anti-realism provided by Bas van Fraassen is no better at answering those questions. Moreover, it is argued, van Fraassen's ideas lack plausibility as a description of science and the attitudes of scientists - particularly when attention is shifted from physics to biology. Finally, a number of suggestions are made as to how the philosophical questions posed by realism might be answered in the future. (shrink)

The way we understand the environment is analogous to the way we draw a map. Drawing insights from this analogy, this paper shows how the abstraction that occurs in ecological explanation can lead to damaging distortion. It is mistaken, therefore, to assume that by abstraction we can easily determine the correct variables for controlling a given ecosystem as if it were ideally closed. Recent work shows that the environment is a global composite with a very high degree of internal dependence (...) between its parts, a kind of dependence that makes it more holistic than a machine and perhaps even as holistic as an organism. This paper was presented at the 6th European Meeting of Jesuits in Science on “Science and Culture”, Frankfurt a. M., Germany (8th - 12th September 1999). (shrink)