Predictivists use the no miracle argument to argue that “novel” predictions are decisive evidence for theories, while mere accommodation of “old” data cannot confirm to a significant degree. But deductivists claim that since confirmation is a logical theory-data relationship, predicted data cannot confirm more than merely deduced data, and cite historical cases in which known data confirmed theories quite strongly. On the other hand, the advantage of prediction over accommodation is needed by scientific realists to resist Laudan’s criticisms of the (...) no miracle argument. So, if the deductivists are right, the most powerful argument for realism collapses. There seems to be an inescapable contradiction between these prima facie plausible arguments of predictivists and deductivists; but this puzzle can be solved by understanding what exactly counts as novelty, if novel predictions must support the no miracle argument, i.e., if they must be explainable only by the truth of theories. Taking my cues from the use-novelty tradition, I argue that (1) the predicted data must not be used essentially in building the theory or choosing the auxiliary assumptions. This is possible if the theory and its auxiliary assumptions are plausible independently of the predicted data, and I analyze the consequences of this requirement in terms of best explanation of diverse bodies of data. Moreover, the predicted data must be (2) a priori improbable, and (3) heterogeneous to the essentially used data. My proposed notion of novelty, therefore, is not historical, but functional. Hence, deductivists are right that confirmation is independent of time and of historical contingencies such as if the theorist knew a datum, used it, or intended to accommodate it. Predictivists, however, are right that not all consequences confirm equally, and confirmation is not purely a logical theory-data relation, as it crucially involves background epistemic conditions and the notion of best explanation. Conditions (1)–(3) make the difference between prediction and accommodation, and account for the confirming power of theoretical virtues such as non ad-hocness, non-fudging, non-overfitting, independence and consilience. I thus show that functional novelty (a) avoids the deductivist objections to predictivism, (b) is a gradual notion, in accordance with the common intuition that confirmation comes in degrees, and (c) supports the no miracle argument, so vindicating scientific realism. (shrink)

Against certain positivistic and neopositivistic strictures still rooted in our society, Agazzi argues that knowing the invisible is possible, not just in science, but also in metaphysics, in morals, in aesthetics, and in other areas, including, in a sense, religion. The book also examines many examples of such knowledge, surveying not only the great classics of philosophy, but various immortal masterpieces of art, music and literature. It is not just a treatise in epistemology, but a book of philosophy in the (...) most complete and traditional sense, for it discusses knowledge not only for its own sake, but also as a guide to culture, morality, happiness and to the sense of life. Thus, it also provides some important suggestions on how to face our time of crisis and an uncertain future. Despite Agazzi’s proverbial rigor and clarity, his project is so momentous and demanding that I discuss certain points which might deserve further explication and argumentation. (shrink)

Epistemologists have debated at length whether scientific discovery is a rational and logical process. If it is, according to the Artificial Intelligence hypothesis, it should be possible to write computer programs able to discover laws or theories; and if such programs were written, this would definitely prove the existence of a logic of discovery. Attempts in this direction, however, have been unsuccessful: the programs written by Simon's group, indeed, infer famous laws of physics and chemistry; but having found no new (...) law, they cannot properly be considered discovery machines. The programs written in the Turing tradition, instead, produced new and useful empirical generalization, but no theoretical discovery, thus failing to prove the logical character of the most significant kind of discoveries. A new cognitivist and connectionist approach by Holland, Holyoak, Nisbett and Thagard, looks more promising. Reflection on their proposals helps to understand the complex character of discovery processes, the abandonment of belief in the logic of discovery by logical positivists, and the necessity of a realist interpretation of scientific research. (shrink)

Deployment Realism resists Laudan’s and Lyons’ objections to the “No Miracle Argument” by arguing that a hypothesis is most probably true when it is deployed essentially in a novel prediction. However, Lyons criticized Psillos’ criterion of essentiality, maintaining that Deployment Realism should be committed to all the actually deployed assumptions. But since many actually deployed assumptions proved false, he concludes that the No Miracle Argument and Deployment Realism fail. I reply that the essentiality condition is required by Occam’s razor. In (...) fact, there is a simpler formulation of essentiality which escapes Lyons’ criticisms and rescues the No Miracle Argument and Deployment Realism from their purported historical counterexamples: a hypothesis is essential when it has no proper parts (in Yablo’s sense) sufficient to derive the same prediction. Although essentiality so conceived cannot be detected prospectively, this is just natural, and it is not a problem but an advantage for Deployment Realism. (shrink)

There are two possible realist defense strategies against the pessimistic meta-induction and Laudan’s meta-modus tollens: the selective strategy, claiming that discarded theories are partially true, and the discontinuity strategy, denying that pessimism about past theories can be extended to current ones. A radical version of discontinuity realism is proposed by Gerald Doppelt: rather than discriminating between true and false components within theories, he holds that superseded theories cannot be shown to be even partially true, while present best theories are demonstrably (...) completely true. I argue that this position, running counter both the cumulativity of science and fallibilism, is untenable; it cannot account for the success of past theories, nor for the failures of current theories, and rather than shutting the door to the pessimistic historical objections it opens it wide. The best strategy, instead, joins the selective idea there was both some truth and some falsity in discarded theories, like in current ones, with the moderate discontinuity idea that the truth rate in present best theories is much greater than in past ones. (shrink)

This is an attempt to sort out what is it that makes many of us uncomfortable with the perdurantist solution to the problem of change. Lewis argues that only perdurantism can reconcile change with persistence over time, while neither presentism nor endurantism can. So, first, I defend the endurantist solution to the problem of change, by arguing that what is relative to time are not properties, but their possession. Second, I explore the anti-perdurantist strategy of arguing that Lewis cannot solve (...) the problem of change, for he cannot account for how some properties are possessed by objects in time. However, I argue that this strategy fails, for if by saying that objects in time can have properties ‘timelessly’ we mean “at no particular time” and “tenselessly”, only objects outside time can have properties in that way; but if we mean “for all the time they exist”, or “essentially”, perdurantists can account for this. Finally, I argue that actually perdurantism cannot solve the problem, but for different reasons: for either it sweeps the problem under the carpet, denying change, and in general subverting our conceptual scheme in a dangerous way, or it becomes equivalent to the endurantist picture that properties are had at times. Nor perdurantism is justified by the Relativity Theory or the B-theory of time, because while endurantism is certainly comfortable with presentism, it need not be committed to it; and even if it were, presentism need not be refuted by the Relativity Theory. (shrink)

The contributions to this book touch the different aspects of Popper's philosophy of science.

On the basis of Levin’s claim that truth is not a scientific explanatory factor, Michel Ghins argues that the “no miracle” argument (NMA) is not scientific, therefore scientific realism is not a scientific hypothesis, and naturalism is wrong. I argue that there are genuine senses of ‘scientific’ and ‘explanation’ in which truth can yield scientific explanations. Hence, the NMA can be considered scientific in the sense that it hinges on a scientific explanation, it follows a typically scientific inferential pattern (IBE), (...) and it is based on an empirical fact (the success of science). Scientific realism, in turn, is scientific in the sense that it is supported both by a meta-level scientific argument (the NMA), and by first level scientific arguments through semantic ascent and generalization. However, both the NMA and scientific realism are not purely scientific, since they go beyond properly scientific concerns, and require additional philosophical reasoning. In turn, naturalism is correct in the sense that philosophy is continuous with science, partly based on it, and potentially equally well warranted. Beside denying the scientific nature of the NMA, Ghins raises some objections to its cogency , to which I reply in the final section. (shrink)

The notion of a hypothesis being deployed essentially in the derivation of a novel prediction plays a key role in the deployment realist reply to Laudan’s and Lyon’s attacks to the No Miracle Argument. However Lyons criticized Psillos’ criterion of essentiality, urging deployment realists to abandon this requirement altogether and accept as true all the assumptions actually deployed in novel predictions. But since many false assumptions were actually deployed in novel predictions, he concludes that the “no miracle argument” and deployment (...) realism fail. I reply that the essentiality condition is required by Occam’s razor, and a “no miracle argument” deprived of that condition is a straw man. While Lyons’ criticisms of Psillos’ formalization of essentiality may be well taken, I suggest that there is a simpler formulation which escapes those criticisms and is enough to deal with the supposed counterexamples to the No Miracle Argument and deployment realism: a hypothesis is essential when it does not have a proper part (in Yablo’s sense) from which the prediction could also be derived. I then show how this condition rescues deployment realism from Lyons’ purported historical counterexamples. Essentiality in this sense cannot be detected prospectively, but this is just what we should expect, and far from causing problems for deployment realists, this frees them from unreasonable obligations. (shrink)

Many formulations of scientific realism (SR) include some commitment to metaphysical realism (MR). On the other hand, authors like Schlick, Carnap and Putnam held forms of scientific realism coupled with metaphysical antirealism (and this has analogies in Kant). So we might ask: do scientific realists really need MR? or is MR already implied by SR, so that SR is actually incompatible with metaphysical antirealism? And if MR must really be added to SR, why is that so? And which additional arguments (...) scientific realists need to support it? After reviewing and classifying a number of different kinds of realisms, metaphysical and not, I answer that SR and MR are logically independent of each other, so that there is no logical inconsistency in holding SR while rejecting MR. However, I argue that the “no miracle” argument (NMA) not only is the “ultimate” argument for SR, but by the same token it also supports MR. Therefore one cannot effectively defend SR without also subscribing to MR, but this can be done at no additional argumentative cost. I show this by discussing not only the standard version of the NMA, but also three more versions which are not usually considered as such in the literature. (shrink)

The Arabic philosophical fable _Hayy Ibn Yaqzan _is a classic of medieval Islamic philosophy. Ibn Tufayl, the Andalusian philosopher, tells of a child raised by a doe on an equatorial island who grows up to discover the truth about the world and his own place in it, unaided—but also unimpeded—by society, language, or tradition. Hayy’s discoveries about God, nature, and man challenge the values of the culture in which the tale was written as well as those of every contemporary society. (...) Goodman’s commentary places _Hayy Ibn Yaqzan _in its historical and philosophical context. The volume features a new preface and index, and an updated bibliography. “One of the most remarkable books of the Middle Ages.”—_Times Literary Supplement_ “An enchanting and puzzling story.... The book transcends all historical and cultural environments to settle upon the questions of human life that perpetually intrigue men.”—_Middle East__ Journal_ “Goodman has done a service to the modern English reader by providing a readable translation of a philosophically significant allegory.”—_Philosophy East and West_ “Add[s] bright new pieces to an Islamic mosaic whose general shape is already known.”—_American Historical Review_. (shrink)

Gegen bestimmte positivistische und neopositivistische Einschränkungen, die immer noch in unserer Gesellschaft verankert sind, argumentiert Agazzi, dass die Erkenntnis des Unsichtbaren nicht nur in der Wissenschaft, sondern auch in der Metaphysik, in der Moral, in der Ästhetik und in anderen Bereichen, in gewissem Sinne auch in der Religion, möglich sei. Das Buch untersucht zudem viele Beispiele dieses Wissens und untersucht nicht nur die großen Klassiker der Philosophie, sondern auch verschiedene unvergängliche Meisterwerke der Kunst, Musik und Literatur. Es ist nicht nur (...) eine erkenntnistheoretische Abhandlung, sondern ein Buch der Philosophie im umfassendsten und traditionellsten Sinne, denn es behandelt Wissen nicht nur um seiner selbst willen, sondern auch als Leitfaden für Kultur, Moral, Glück und den Sinn des Lebens. Damit liefert es auch einige wichtige Anregungen, wie wir unserer krisenhaften Zeit und einer ungewissen Zukunft begegnen können. Trotz Agazzis sprichwörtlicher Strenge und Klarheit ist sein Projekt so bedeutsam und anspruchsvoll, dass ich hier bestimmte Punkte diskutiere, welche eine weitere Erläuterung und Argumentation verdienen. (shrink)

Many philosophers have shown great interest in the recent anti-realist turn in Hilary Putnam's thought, whereby he rejects "meta-physical realism" in favor of "internal realism". However, many have also found it difficult to gain an exact understanding, and hence a correct assessment of Putnam's ideas. This work strives for some progress on both of these accounts. ;Part one explicates what Putnam understands by "metaphysical realism" and considers to what extent Putnam himself formerly adhered to it. It reconstructs Putnam's arguments for (...) the indeterminacy of reference and for the rejection of reference and of truth as correspondence, and it shows how such arguments hinge both on considerations in the theory of reference and in metaphysics. It suggests that commentators have often missed the actual structure of Putnam's argumentation, e.g. by simply identifying it with the so called "model-theoretic" argument. Finally, Part One examines Putnam's "internal realism", stressing its ties to such authors as Kant, Goodman and Dummett, and explaining in what senses it is really a strong kind of anti-realism. Basically, Putnam does not deny that a mind-independent world exists, but he denies that we may refer to it, and claims that the world we know is thoroughly mind-dependent. ;Part two criticizes Putnam's arguments for indeterminacy along with some similar indeterminacy arguments such as Goodman's argument on confirmation, and the Kripke-Wittgenstein argument on rules. This is done by vindicating the notion of objective similarity, and by relying on it to fix reference. Putnam's claim that we have no theory showing how reference could possibly be determinate is countered by sketching a possible account of reference--distinctly owing to functionalism--which might answer such question. Putnam's notorious "brains in the vat" argument is also discussed and criticized. ;Putnam's metaphysical picture, by which the mind-independent world is not sorted out into objects or properties, is granted. But it is argued that nonetheless we may refer to the mind-independent world, and have beliefs which are true of it. (shrink)

Evandro Agazzi’s volume Scientific Objectivity and its Contexts is here introduced. First, the genesis and the content of the book are outlined. Secondly, an overview of Agazzi’s philosophy of science is provided. Its main roots are epistemological realism in the Aristotelian/scholastic tradition, and contemporary science-oriented epistemology, especially in Logical Empiricism. As a result, Agazzi’s thought is nicely balanced between empiricism and rationalism, it avoids gnoseologistic dualism by stressing the intentionality of knowledge, and it insists on the operational and referential character (...) of science. Finally, an account is given of Agazzi’s view of the origin and nature of scientific objects, which allows to understand how his sophisticated and “perspectival” realism differs both from naïve realism and constructivism. (shrink)

review and discussion of: John Wright: Explaining science’s success: Understanding how scientific knowledge works. Durham: Acumen, 2012.

This book offers the most complete and up-to-date overview of the philosophical work of Evandro Agazzi, presently the most important Italian philosopher of science, and one of the most influential in the world. Scholars from seven countries explore his contributions in areas ranging from philosophy of physics and general philosophy of science to bioethics, philosophy of mathematics and logic, epistemology of the social sciences and history of science, philosophy of language and artificial intelligence, education and anthropology, metaphysics, and philosophy of (...) religion. Agazzi developed a complete and coherent philosophical system, anticipating some of the turns in the philosophy of science after the crisis of logical empiricism and exerting an equal influence on continental hermeneutic philosophy. His work is characterized by an original synthesis of contemporary analytic philosophy, phenomenology, and classical philosophy, including the scholastic tradition, and these threads are reflected in the different backgrounds of the contributors to this book. While upholding the epistemological value of science against scepticism and relativism, Agazzi eschews scientism by stressing the equal importance of non-scientific forms of thought, such as metaphysics and religion. While defending the freedom of research as a cognitive enterprise, he argues that as a human and social practice it must nonetheless respect ethical constraints. (shrink)

Criticisms à la Laudan can block the “no miracles” argument for the (approximate) truth of whole theories. Realists have thus retrenched, arguing that at least the individual claims deployed in the derivation of novel predictions should be considered (approximately) true. But for Lyons (2002) there are historical counterexamples even to this weaker “deployment” realism: he lists a number of novel predictions supposedly derived from (radically) false claims. But if so, those successes would seem unexplainable, even by Lyons’ “modest surrealism” or (...) other surrogates to realism. In fact, I argue, some of those predictions were an easy guess, or independently probable in the light of available evidence; hence, they are no counterexamples to deployment realism, for the no miracles argument wouldn’t apply to them. In other instances, pace Lyon, the prediction was actually false, and could be reinterpreted as true only by interpreting as true also the claim from which it was derived; or again, a false claim was employed in the derivation of a true prediction, but inessentially, the essential role being played by a weaker true claim. But as soon as the paradoxical air of such historical cases is explained away in any of these manners, they cease to represent counterexamples to deployment realism. If, as I suggest, all of them can be dealt with by these strategies, a theoretical claim can still be assumed to be true if it is crucial in deriving an improbable novel prediction. (shrink)

Volume 37, Issue 3, September 2024, Page 150-154.

Strong predictivism, the idea that novel predictions per se confirm theories more than accommodations, is based on a “no miracle” argument from novel predictions to the truth of theories (NMAT). Eric Barnes rejects both: he reconstructs the NMAT as seeking an explanation for the entailment relation between a theory and its novel consequences, and argues that it involves a fallacious application of Occam’s razor. However, he accepts a no miracle argument for the truth of background beliefs (NMABB): scientists endorsed a (...) successful theory because they were guided by largely true background beliefs. This in turn raises the probability that the theory is true; so Barnes embraces a form of weak predictivism, according to which predictions are only indirectly relevant to confirmation. To Barnes I reply that we should also explain how the successful theory was constructed, not just endorsed; background beliefs are not enough to explain success, scientific method must also be considered; Barnes can account for some measure of confirmation of our theories, but not for the practical certainty conferred to them by some astonishing predictions; true background beliefs and reliability by themselves cannot explain novel success, the truth of theories is also required. Hence, the NMAT is sound, and strong predictivism is right. In fact, Barnes misinterprets the NMAT, which does not involve Occam’s razor, takes as explanandum the building of a theory which turned out to predict surprising facts, and successfully concludes that the theory is true. This accounts for the practically certain confirmation of our most successful theories, in accordance with strong predictivism. (shrink)

Great scholars in philosophy possess a keen analytical mind, excel in logical reasoning, and exhibit meticulous attention to detail. They rigorously define terms, avoiding ambiguities and errors. Originality and the willingness to challenge conventions are their hallmarks. They make significant contributions across various philosophical fields. They transparently address the exact aim of their research, and what it is not. Finally, they anticipate the impact of their theories on the current literature, and how such an impact should blossom across the future (...) generations. In this respect, great philosophers address open problems and propose big questions for the foreseeable research efforts of those who will follow. Mario Alai embodies the qualities of a great scholar in philosophy, and the various essays in this volume are an evidence to that. It is challenging to condense a lifetime of research in one book. However, the Editors of the present volume’s aim was to face this challenge, to make a collection dedicated to Mario Alai’s work not only possible but, as metaphysicians would say, actual. The book attempts to bring together the reflections of three different generations of scholars - i.e., mentors, colleagues, and students - on Alai’s thought. Viewed from this perspective, the extensive and valuable contributions that follow, crafted in honor of Mario Alai and his scholarly endeavors, come as no surprise. All the chapters focus on a theme that was very dear to the philosophical curiosity of Mario Alai. Moreover, in engaging with these different topics, the plethora of contributions gives us a sense of the work by Alai. To make sense of the different contributions as a unified enterprise, this volume is organized into three sections, which seek to gather writings that revolve around Mario’s most substantial contributions, while elucidating their contemporary significance in the global discourse. Moreover, it endeavors to offer precious insights into the origins and development of these contributions, as observed through Mario’s writings and responses. This represents a sort of closure of the theoretical circle, clearly showing how the work by Mario Alai has been appreciated through different generations, originating from his relation to his mentors, on the one hand, while also shedding new light on his students’ research interests, on the other. Editing such a wealth of material was, again, no small feat. Still, the taxonomy we have chosen for this book will assist readers in navigating the profound depths of Alai’s philosophical research. Consequently, the book is structured into the following three parts: 1. Realism in History of Philosophy, History of Science, and Metaphysics. 2. Scientific Realism. 3. Realism in Philosophy of Language, Epistemology, and Experimental Philosophy. Each contribution actively participates in a substantial conversation with Alai’s body of work, as a deep theoretical dialogue between the author and Mario. Consequently, it appeared fitting to let Alai conclude this conversation, with direct responses to these philosophy-provoking pieces in his honor. We shall refrain from further commentary on the works within this book and allow them to express their significance independently to appreciate the river of ideas flowing through Mario’s work1. Beyond their philosophical substance, they are a vivid testament to Alai’s enduring dedication and ongoing contributions, in different moments of his research life. (shrink)

The currently most plausible version of scientific realism is probably “deployment” realism, based on various contributions in the recent literature, and worked out as a unitary account in Psillos. According to it we can believe in the at least partial truth of theories, because that is the best explanation of their predictive success, and discarded theories which had novel predictive success had nonetheless some true parts, those necessary to derive their novel predictions. According to Doppelt this account cannot withstand the (...) antirealist objections based on the “pessimistic meta-induction” and Laudan’s historical counterexamples. Moreover it is incomplete, as it purports to explain the predictive success of theories, but overlooks the necessity to explain also their explanatory success. Accordingly, he proposes a new version of realism, presented as the best explanation of both predictive and explanatory success, and committed only to the truth of best current theories, not of the discarded ones. Here I argue that Doppelt has not shown that deployment realism as it stands cannot solve the problems raised by the history of science, explaining explanatory success does not add much to explaining novel predictive success, and a realism confined to current theories is implausible, and actually the easiest prey to the pessimistic meta-induction argument. (shrink)

Gerald Doppelt claims that Deployment Realism cannot withstand the antirealist objections based on the “pessimistic meta-induction” and Laudan’s historical counterexamples. Moreover it is incomplete, as it purports to explain the predictive success of theories, but overlooks the necessity to explain also their explanatory success. Accordingly, he proposes a new version of realism, presented as the best explanation of both predictive and explanatory success, and committed only to the truth of best current theories, not of the discarded ones. Elsewhere I criticized (...) his new brand of realism. Here instead I argue that Doppelt has not shown that Deployment Realism cannot solve the problems raised by the history of science, explaining explanatory success does not add much to explaining novel predictive success, and Doppelt is right that truth is not a sufficient explanans, but for different reasons, and this does not refute Deployment Realism, but helps to detail it better. In a more explicit formulation, the realist IBE concludes not only to the truth of theories, but also to the reliability of scientists and scientific method, the order and simplicity of nature, and the approximate truth of background theories. (shrink)

Il problema apparentemente insolubile di una giustificazione non circolare dell’induzione diverrebbe più abbordabile se invece di chiederci solo cosa ci assicura che un fenomeno osservato si riprodurrà in modo uguale in un numero potenzialmente infinito di casi futuri, ci chiedessimo anche come si spiega che esso si sia manifestato fin qui in modo identico e senza eccezioni in un numero di casi finito ma assai alto. E’ questa l’idea della giustificazione abduttiva dell’induzione, avanzata in forme diverse da Armstrong, Foster e (...) BonJour: serie talmente regolari di fenomeni sono da un punto di vista logico talmente improbabili che se il mondo fosse puramente casuale (se cioè gli eventi si presentassero con frequenza proporzionale alla loro probabilità logica) esse non potrebbero verificarsi se non per una coincidenza miracolosa. Pertanto, tali regolarità si spiegano solo assumendo che siano prodotte da meccanismi o necessità nomiche; ma se questo è il caso, è corretto concludere che tali regolarità persisteranno anche in futuro senza eccezioni, e dunque le inferenze induttive su di esse sono giustificate. Anche Kornblith argomenta dall’effettivo successo delle inferenze induttive all’esistenza di regolarità oggettive in natura; mentre Sankey parte dall’ uniformità della natura per giustificare l’induzione. Congiungendo le due argomentazioni, dunque, si ottiene di nuovo una giustificazione dell’induzione in base all’argomento del “se non è un miracolo …”. Un ostacolo su questa via è specificare in che senso la natura sia uniforme (dato che ovviamente non lo è in ogni suo aspetto) e di quali regolarità possiamo aspettarci che persistano senza eccezione anche in futuro (dato che evidentemente non tutte lo fanno: l’acqua non bolle sempre a 100°, la pressione non è sempre funzione della temperatura, e così via). Entrano qui in gioco le conoscenze di sfondo e la ripetizione delle osservazioni in condizioni diverse, che ci mostrano quali circostanze siano rilevanti al verificarsi del fenomeno dato. In tal modo, le nostre descrizioni delle regolarità naturali convergono su descrizioni che specificano sia le condizioni individualmente necessarie e congiuntamente sufficienti, sia tutti gli argomenti delle funzioni che costituiscono tali regolarità. Ciò consente di formulare i principi di Uniformità della Natura e di Induzione in modo non generico (e dunque, a seconda della formulazione, vuoto o eccessivo), ma circostanziato: così essi asseriscono, rispettivamente, che la natura è uniforme negli aspetti evidenziati dalle descrizioni su cui convergiamo grazie alle osservazioni ripetute, e che solo queste descrizioni possono essere induttivamente generalizzate. Ciò consente anche di risolvere enigmi alla Goodman, quali: poiché le osservazioni ci hanno mostrato (solo) il verificarsi di una data regolarità fino al momento presente t, come possiamo presumere che essa si verificherà anche dopo t? La risposta è che osservazioni e conoscenza di sfondo non ci dicono che vi sia alcun limite temporale tra le condizioni necessarie della regolarità data. (shrink)

A discussion of Wolfgang's Stegmüller's ideas on the structuralist conception of theories, especially as presented in his book The Structure and Dynamics of Theories (Springer, 1976).

In an earlier article on this journal I argued that the problem of empirical underdetermination can for the largest part be solved by theoretical virtues, and for the remaining part it can be tolerated. Here I confront two further challenges to scientific realism based on underdetermination. First, there are four classes of theories which may seem to be underdetermined even by theoretical virtues. Concerning them I argue that (i) theories produced by trivial permutations and (ii) “equivalent descriptions” are compatible with (...) the truth of standard theories; instead (iii) “as if” versions of standard theories are much worse from the point of view of theoretical virtues; finally (iv) mathematically intertranslatable theories either may become empirically decidable in the future, or can be discriminated by theoretical virtues, or realists may simply plead ignorance about their claims. Secondly, I consider Stanford’s underdetermination with respect unconceived alternatives, arguing that it essentially relies on the pessimistic meta-induction from the falsity of all past theories. Therefore, it can be resisted by (a) considering the radical advancement of present with respect to past science, and (b) arguing with selective realism that past successful theories, even if false, always included some true components. (shrink)

The book introduces to the analytic philosophy of language by presenting the main classical authors and texts of the XX Century, as well as the key problems and concepts of this discipline in their historical context. Ch. I: general introduction to the philosophy of language. Ch. II: Frege. Ch. III: Russell. Ch. IV: Wittgenstein's Tractatus. Ch: V: Neopositivism and verificationism. Ch. VI: Carnap's intensional semantics. Ch. VII: Wittgenstein's Philosophical Investigations. Ch. VIII: Quine. Ch. IX: theories of direct reference. Everything is (...) explained in plain but precise language, with many examples. Thus, the reader realizes how each author addresses the problems set by earlier investigations, in turn opening new problems for discussion and advancing the state of the art. The critical comparison among different positions raises possible objections and answers, introducing to the rational debate in the style of analytic philosophy. Whenever required the book also introduces basic notions of logics, metaphysics, philosophy of science, foundations of mathematics, epistemology and philosophy of mind. Each argument is dealt with on three distinct levels: introductory, intermediate, advanced. Therefore, the book can be helpful to beginners, to graduate students, and to researchers. (shrink)

Ibn Taymīyah, Aḥmad ibn ʻAbd al-Ḥalīm, 1263-1328. Naqḍ al-manṭiq; Islamic philosophy; logic.