Recently, it has been debated as to whether understanding is a species of explanatory knowledge. Those who deny this claim frequently argue that understanding, unlike knowledge, can be lucky. In this paper I argue that current arguments do not support this alleged compatibility between understanding and epistemic luck. First, I argue that understanding requires reliable explanatory evaluation, yet the putative examples of lucky understanding underspecify the extent to which subjects possess this ability. In the course of defending this claim, I (...) also provide a new account of the kind of ‘grasping’ taken to be central to understanding. Second, I show that putative examples of lucky understanding unwittingly deploy a kind of luck that is compatible with knowledge. Finally, appealing to a number of works on explanation and its attendant epistemology, I argue that alleged instances of lucky understanding that overcome these two obstacles will invariably violate certain norms of explanatory inquiry – our paradigmatic understanding-oriented practice. By contrast, knowledge of the same information is immune to these criticisms. Consequently, if understanding is environmentally lucky, it is always inferior to the understanding that a corresponding case of knowledge would provide. (shrink)

The nature of engineering and history as disciplines are explored and found to have some striking similarities, for example in the importance they place on context and practitioner involvement. They are found to be different from science, which focuses more on universal generalizations rather than on the particulars of given situations. The history of technology is paid special attention, because the discipline has developed in a way that incorporates both scientific (generalizing) and historical (context specific) characteristics. Proposals are made for (...) giving historical studies greater space in engineering education. (shrink)

Tarski’s pioneering work on truth has been thought by some to motivate a robust, correspondence-style theory of truth, and by others to motivate a deflationary attitude toward truth. I argue that Tarski’s work suggests neither; if it motivates any contemporary theory of truth, it motivates conceptual primitivism, the view that truth is a fundamental, indefinable concept. After outlining conceptual primitivism and Tarski’s theory of truth, I show how the two approaches to truth share much in common. While Tarski does not (...) explicitly accept primitivism, the view is open to him, and fits better with his formal work on truth than do correspondence or deflationary theories. Primitivists, in turn, may rely on Tarski’s insights in motivating their own perspective on truth. I conclude by showing how viewing Tarski through the primitivist lens provides a fresh response to some familiar charges from Putnam and Etchemendy. (shrink)

Using the somewhat simple thesis that we can learn from our mistakes despite our fallibility as a basis, Karl Popper developed a non-justificationist epistemology in which knowledge grows through criticizing rather than justifying our theories. However, there is much controversy among philosophers over the validity and feasibility of his non-justificationism. In this paper, I first consider the problem of the bounds of reason which, arising from justificationism, disputes Popper’s non-justificationist epistemology. Then, after examining in turn three views of rationality that (...) are intended to solve this problem, viz. comprehensive rationalism, critical rationalism, and comprehensively critical rationalism, I argue that Popper’s non-justificationism is justified on the ground that it can solve the problem in the form of comprehensively critical rationalism. Finally, I argue that the implementation of such a non-justificationist theory means exposing to criticism various philosophical presuppositions that work against criticism. (shrink)

Alexander Bird argues for an epistemic account of scientific progress, whereas Darrell Rowbottom argues for a semantic account. Both appeal to intuitions about hypothetical cases in support of their accounts. Since the methodological significance of such appeals to intuition is unclear, I think that a new approach might be fruitful at this stage in the debate. So I propose to abandon appeals to intuition and look at scientific practice instead. I discuss two cases that illustrate the way in which scientists (...) make judgments about progress. As far as scientists are concerned, progress is made when scientific discoveries contribute to the increase of scientific knowledge of the following sorts: empirical, theoretical, practical, and methodological. I then propose to articulate an account of progress that does justice to this broad conception of progress employed by scientists. I discuss one way of doing so, namely, by expanding our notion of scientific knowledge to include both know-that and know-how. (shrink)

This article contends that Charles Sanders Peirce (1839–1914) may enhance our understanding of educational beliefs and that Peirce’s logic may be a tool to distinguish between a dogmatic and a pragmatic justification of such beliefs. The first part of the article elaborates on Peirce’s comprehension of beliefs as mediated, socially situated and future-oriented. The second part points to how Peirce promotes his “method of inquiry” as an ethos of science. The method is not judged by the conclusions it lead to (...) or by the knowledge it may produce. Contrary, as the results are unavoidably provisional and rectifiable, Peirce holds the method productive due to the norms guiding the inquiry: (1) the pragmatic principle, (2) the social principle, (3) fallibilism and (4) abduction. In sum, when adopting a peircean conception, educational research, theory building and practice should be characterized as a mutual commitment towards shared processes of joint learning. In that, Peirce’s method of inquiry may be fruitful in sorting dogmatism from pragmatism. (shrink)

The development of causal modelling since the 1950s has been accompanied by a number of controversies, the most striking of which concerns the Markov condition. Reichenbach's conjunctive forks did satisfy the Markov condition, while Salmon's interactive forks did not. Subsequently some experts in the field have argued that adequate causal models should always satisfy the Markov condition, while others have claimed that non-Markovian causal models are needed in some cases. This paper argues for the second position by considering the multi-causal (...) forks, which are widespread in contemporary medicine (Section 2). A non-Markovian causal model for such forks is introduced and shown to be mathematically tractable (Sections 6, 7, and 8). The paper also gives a general discussion of the controversy about the Markov condition (Section 1), and of the related controversy about probabilistic causality (Sections 3, 4, and 5). (shrink)

In this article, through a critical examination of K. Brad Wray's version of the argument from underconsideration against scientific realism, I articulate a modest version of scientific realism. This modest realist position, which I call ‘relative realism’, preserves the scientific realist's optimism about science's ability to get closer to the truth while, at the same time, taking on board the antirealist's premise that theory evaluation is comparative, and thus that there are no good reasons to think that science's best theories (...) are close to the truth. (shrink)

ABSTRACT Twenty years ago Leif Lewin made the case that altruistic motives are more common than selfish motives among voters, politicians, and bureaucrats. We propose that motives and beliefs emerge as reactions to immediate feedback from technical-causal, material-economic, and moral-social aspects of the political task environment. In the absence of certain kinds of technical-causal and material-economic feedback, moral-social feedback leads individuals to the altruism Lewin documents, but also to righteousness (moralized regard for the in-group and disregard for the out-group) and (...) myopia (disregard for distant consequences). The mix of altruism, righteousness, and myopia increases the focus on winning the next high-stakes election rather than on discovering or enforcing socially productive institutions. (shrink)

Terry Horgan and Mark Timmons’ work implies four criteria that moral phenomenology must be capable of meeting if it is to be a viable field of study that can make a worthwhile contribution to moral philosophy. It must be (a) about a unifed subject matter as well as being, (b) wide, (c) independent, and (d) robust. Contrary to some scepticism about the possibility or usefulness of this field, I suggest that these criteria can be met by elucidating the very foundations (...) of moral experience or what I call a moral ontology of the human person. I attempt to partially outline such an ontology by engaging with Robert Sokolowski's phenomenology of the human person from a moral perspective. My analysis of Sokolowski's thought leads me to five core ideas of a moral ontology of the human person: well-being, virtue, freedom, responsibility, and phronesis. Though I do not by any means boast a complete moral ontology of the human person, I go on to demonstrate how the account I have presented, or something like it, can go a long way to helping moral phenomenology meet the criteria it requires to be a viable and worthwhile pursuit. (shrink)

The scientific understanding of cognition and consciousness is currently hampered by the lack of rigorous and universally accepted definitions that permit comparative studies. This paper proposes new functional and un- ambiguous definitions for cognition and consciousness in order to provide clearly defined boundaries within which general theories of cognition and consciousness may be developed. The proposed definitions are built upon the construction and manipulation of reality representation, decision making and learning and are scoped in terms of an underlying logical structure. (...) It is argued that the presentation of reality also necessitates the concept of ab- sence and the capacity to perform transitive inference. Explicit predictions relating to these new definitions, along with possible ways to test them, are also described and discussed. (shrink)

Abstract According to a prevailing dogma of our time, real communication is practically impossible between those who have no common ?cultural language.? Karl Popper disputed this widespread opinion, arguing that, while it is tremendously difficult to communicate with a real (not artificially constructed) intellectual opponent, at the same time it is infinitely fruitful to do so. He also demonstrated how, while arguing ideologically, we improve both our own ideas and the collective knowledge of our society.

With the recent rise of the philosophy of scientific practices, SSK (Sociology of Scientific Knowledge), and feminist approaches to the philosophy of science, a new perspective is gradually coming into being, holding that the starting point for scientific research is opportunity. Opportunistic features in solar neutrino experiments, Opportunistic features of complexity studies emerging from economics, and the measurement of insects' flight can prove the above perspective from different angels. It is important and significant to determine whether the starting point for (...) scientific research is opportunity, a problem, or an observation. /// 近年来由于科学实践哲学的兴起，以及 SSK 和女性主义科学哲学研究的兴起， 科学研究始于机会的观点正在悄然形成之中。太阳中微子实验、复杂性研究和昆虫 飞行测量等案例都从不同角度证明了 "科学研究始于机会" 的观点。区别科学研究 "始于机会"、"始于问题" 和 "始于观察" 这三种观点，是重要而且有意义的。. (shrink)

Belief revision (BR) and truthlikeness (TL) emerged independently as two research programmes in formal methodology in the 1970s. A natural way of connecting BR and TL is to ask under what conditions the revision of a belief system by new input information leads the system towards the truth. It turns out that, for the AGM model of belief revision, the only safe case is the expansion of true beliefs by true input, but this is not very interesting or realistic as (...) a model of theory change in science. The new accounts of non-prioritized belief revision do not seem more promising in this respect, and the alternative BR account of updating by imaging leads to other problems. Still, positive results about increasing truthlikeness by belief revision may be sought by restricting attention to special kinds of theories. Another approach is to link truthlikeness to epistemic matters by an estimation function which calculates expected degrees of truthlikeness relative to evidence. Then we can study how the expected truthlikeness of a theory changes when probabilities are revised by conditionalization or imaging. Again, we can ask under what conditions such changes lead our best theories towards the truth. (shrink)

Social constructivist approaches to science have often been dismissed as inaccurate accounts of scientific knowledge. In this article, we take the claims of robust social constructivism (SC) seriously and attempt to find a theory which does instantiate the epistemic predicament as described by SC. We argue that Freudian psychoanalysis, in virtue of some of its well-known epistemic complications and conceptual confusions, provides a perfect illustration of what SC claims is actually going on in science. In other words, the features SC (...) mistakenly ascribes to science in general correctly characterize the epistemic status of Freudian psychoanalysis. This sheds some light on the internal disputes in the field of psychoanalysis, on the sociology of psychoanalytic movement, and on the “war” that has been waged over Freud's legacy with his critics. In addition, our analysis offers an indirect and independent argument against SC as an account of bona fide science, by illustrating what science would look like if it were to function as SC claims it does. (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)

Charles Perrow used the term normal accidents to characterize a type of catastrophic failure that resulted when complex, tightly coupled production systems encountered a certain kind of anomalous event. These were events in which systems failures interacted with one another in a way that could not be anticipated, and could not be easily understood and corrected. Systems of the production of expert knowledge are increasingly becoming tightly coupled. Unlike classical science, which operated with a long time horizon, many current forms (...) of expert knowledge are directed at immediate solutions to complex problems. These are prone to breakdowns like the kind discussed by Perrow. The example of the Homestake mine experiment shows that even in modern physics complex systems can produce knowledge failures that last for decades. The concept of knowledge risk is introduced, and used to characterize the risk of failure in such systems of knowledge production. (shrink)

Synthetic biology is an umbrella term that covers a range of aims, approaches, and techniques. They are all brought together by common practices of analogizing, synthesizing, mechanicizing, and kludging. With a focus on kludging as the connection point between biology, engineering, and evolution, I show how synthetic biology’s successes depend on custom-built kludges and a creative, “make-it-work” attitude to the construction of biological systems. Such practices do not fit neatly, however, into synthetic biology’s celebration of rational design. Nor do they (...) straightforwardly embody Richard Feynman’s “last blackboard” statement that without creating something it cannot be understood. Reflecting further on the relationship between synthetic construction and knowledge making gives philosophy of science new avenues of insight into scientific practice. (shrink)

Despite the by now historical tendency to demarcate scientific epistemology sharply from virtually all others, especially theological “epistemology,” it has recently been recognized that both enterprises share a great deal in common, at least as far as the epistemology of discovery is implicated. Such a claim is founded upon a psychological analysis of figuration, where, it is argued, metaphor plays a crucial role in the mediation of discovery, in the domains of science and religion alike. Thus, although the conventionally conceived (...) scientific method is crucial to the enterprise, primacy must nonetheless be accorded to discovery, which drives virtually all disciplines. (shrink)

The relationship between ethics and science has been discussed within the framework of continuity versus discontinuity theories, each of which can take several forms. Continuity theorists claim that ethics is a science or at least that it has deep similarities with the modus operandi of science. Discontinuity theorists reject such equivalency, while at the same time many of them claim that ethics does deal with objective truths and universalizable statements, just not in the same sense as science does. I propose (...) here a third view of quasi-continuity (or, equivalently, quasi-discontinuity) that integrates ethics and science as equal partners toward the uncovering of new knowledge. In this third way, a program envisioned by William James but made practicable only by contemporary scientific advancement, science can and must inform ethics at a deep level, and ethical theory— while going beyond science—cannot do without it. In particular, I identify four areas of ethics-science collaboration: neurobiological research into the basis of moral judgment, comparative anthropol- ogy, comparative evolutionary biology of primates, and game-theo- retical modeling. I provide examples within each of these fields to show how they link to ethical theories (including prescriptive work) and questions. The essay concludes with a brief discussion of the light that a scientifically informed ethics can shed on some classical problems in moral theory, such as the relationships between rational- ity and selfishness, egoism and altruism, as well as the concept of social contract. A joint research program involving both philosophers and scientists is called for if we wish to move ethical theory into the twenty-first century. (shrink)

The modern history of verisimilitude can be divided into three periods. The first began in 1960, when Karl Popper proposed his qualitative definition of what it is for one theory to be more truthlike than another theory, and lasted until 1974, when David Miller and Pavel Trichý published their refutation of Popper's definition. The second period started immediately with the attempt to explicate truthlikeness by means of relations of similarity or resemblance between states of affairs (or their linguistic representations); the (...) work within this similarity approach was summarized in the books of Graham Oddie [1986] and Ilkka Niiniluoto [1987]. During the subsequent third period, studies in verisimilitude have been actively continued, and interesting results and applications have been achieved, but not many dramatic novelties. While it is now obsolete to claim that truthlikeness with reasonable properties cannot be defined at all, there is still a lot of controversy about the best and least arbitrary approach to doing this. (shrink)

Assuming that progress in science means effectiveness at problem-solving, this paper discusses how a progressive scienti?c tradition can be created by a peripheral scienti?c community. A mechanism of peripheral scienti?c growth is proposed, and it is illustrated with an Indian case study. The conclusion of the paper is that scienti?c collaboration between metropolitan and peripheral research communities is frequently characterized by a persistent inequality of intellectual authority due to inequalityin their epistemic transactions.

Although molecular systematists may use the terminology of cladism, claiming that the reconstruction of phylogenetic relationships is based on shared derived states , the latter is not the case. Rather, molecular systematics is based on the assumption, first clearly articulated by Zuckerkandl and Pauling , that degree of overall similarity reflects degree of relatedness. This assumption derives from interpreting molecular similarity between taxa in the context of a Darwinian model of continual and gradual change. Review of the history of molecular (...) systematics and its claims in the context of molecular biology reveals that there is no basis for the “molecular assumption.”. (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)

It is a commonplace that the writers of eighteenth century Scotland played a key role in shaping the early practice of social science. This paper examines how this ‘Scottish’ contribution to the Enlightenment generation of social science was shaped by the fascination with unintended consequences. From Adam Smith's invisible hand to Hume's analysis of convention, through Ferguson's sociology, and Millar's discussion of rank, by way of Robertson's View of Progress, the concept of unintended consequences pervades the writing of the period. (...) The paper argues that the idea of unintended order shapes the understanding of the purpose of theoretical social science that emerges from the Scottish Enlightenment. (shrink)

Both Kuhn and Cavell acknowledge their indebtedness to each other in their respective books of the 60s. Cavell in (Must We Mean What We Say (1969)) and Kuhn in (The Structure of Scientific Revolutions 1962). They were together at Berkeley where they had both moved in 1956 as assistant professors after their first encounter at the Society of Fellows at Harvard (Kuhn 2000d, p. 197). In Berkeley, Cavell and Kuhn discovered a mutual understanding and an intellectual affinity. They had regular (...) conversations which Cavell describes as "extremely important" (Conant 1989, p. 40; cf. Cavell 1979, p. xix). Cavell says that he felt he wanted to assure Kuhn that "philosophy did not have standing answers to the questions [Kuhn] .. (shrink)

In this philosophical paper, we explore computational and biological analogies to address the fine-tuning problem in cosmology. We first clarify what it means for physical constants or initial conditions to be fine-tuned. We review important distinctions such as the dimensionless and dimensional physical constants, and the classification of constants proposed by Lévy-Leblond. Then we explore how two great analogies, computational and biological, can give new insights into our problem. This paper includes a preliminary study to examine the two analogies. Importantly, (...) analogies are both useful and fundamental cognitive tools, but can also be misused or misinterpreted. The idea that our universe might be modelled as a computational entity is analysed, and we discuss the distinction between physical laws and initial conditions using algorithmic information theory. Smolin introduced the theory of "cosmological natural selection" with a biological analogy in mind. We examine an extension of. (shrink)

In September 2007, more than 100 philosophers came to Prague with the determination to approach Karl Popper's philosophy as a source of inspiration in many areas of our intellectual endeavor. This volume is a result of that effort.

Selectionist evolutionary theory has often been faulted for not making novel predictions that are surprising, risky, and correct. I argue that it in fact exhibits the theoretical virtue of predictive capacity in addition to two other virtues: explanatory unification and model fitting. Two case studies show the predictive capacity of selectionist evolutionary theory: parallel evolutionary change in E. coli, and the origin of eukaryotic cells through endosymbiosis.

To generate explanatory theory, ecologists must wrestle with how to represent the extremely many, diverse causes behind phenomena in their domain. Early twentieth-century plant ecologists Frederic E. Clements and Henry A. Gleason provide a textbook example of different approaches to explaining vegetation, with Clements allegedly committed, despite abundant exceptions, to a law of vegetation, and Gleason denying the law in favor of less organized phenomena. However, examining Clements's approach to explanation reveals him not to be expressing a law, and instead (...) to be developing an explanatory structure without laws, capable of progressively integrating causal complexity. Moreover, Clements and Gleason largely agree on the causes of vegetation; but, since causal understanding here underdetermines representation, they differ on how to integrate recognized causes into general theory---that is, in their methodologies. Observers of the case may have mistakenly assumed that scientific representation across the disciplines typically aims at laws like Newton's, and that representations always reveal scientists' metaphysical commitments. Ironically, in the present case, this assumption seems to have been made even by observers who regard Clements as naı¨ve for his alleged commitment to an ecological law. (shrink)

RésuméJe me penche sur un aspect de la philosophie sociale de Popper, à savoir les principes d'évaluation des interprétations historiques. Ma thèse globale est que suivant la perspective poppèrienne, notre choix parmi des interprétations historiques doit user d'au moins deux des critères qu'applique Popper au choix parmi diverses théories scientifiques : une interprétation devrait logiquement se prêter à une réfutation et elle devrait être consistante. Afin de montrer la pertinence et la fécondité de cette approche, je me concentre sur l'interprétation (...) historique des causes de la montée du nazisme que propose Erich Fromm, en particulier dansEscape from Freedom.Je montrerai que l'application de notions psychanalytiques dans le cadre de son interprétation historique a une valeur explicative faible, voire nulle. Son échec à expliquer certaines questions sociales tient à plusieurs raisons. Premièrement, l'auteur ne fournit pas, quoi qu'il en dise, d'explication causale convaincante. Ensuite, les concepts et les multiples hypotheèsesad hocauxquels il a recours tendent è rendre son interprétation irréfutable. Enfin, Fromm s'appuie sur des assomptions théoriques contradictoires. Mon analyse est basée sur la notion fondamentale de Popper voulant que la connaissance scientifique empirique exige au strict minimum une ouverture des interprétations historiques à la critique intersubjective. C'est cette exigence qui permet de les critiquer — c'est-à-dire les accepter, les réfuter et les corriger — sur une base rationnelle. (shrink)

The main thrust of the argument of this thesis is to show the possibility of articulating a method of construction or of synthesis--as against the most common method of analysis or division--which has always been (so we shall argue) a necessary component of scientific theorization. This method will be shown to be based on a fundamental synthetic logical relation of thought, that we shall call inversion--to be understood as a species of logical opposition, and as one of the basic monadic (...) logical operators. Thus the major objective of this thesis is to This thesis can be viewed as a response to Larry Laudan's challenge, which is based on the claim that ``the case has yet to be made that the rules governing the techniques whereby theories are invented (if any such rules there be) are the sorts of things that philosophers should claim any interest in or competence at.'' The challenge itself would be to show that the logic of discovery (if at all formulatable) performs the epistemological role of the justification of scientific theories. We propose to meet this challenge head on: a) by suggesting precisely how such a logic would be formulated; b) by demonstrating its epistemological relevance (in the context of justification) and c) by showing that a) and b) can be carried out without sacrificing the fallibilist view of scientific knowledge. OBJECTIVES: We have set three successive objectives: one general, one specific, and one sub-specific, each one related to the other in that very order. (A) The general objective is to indicate the clear possibility of renovating the traditional analytico-synthetic epistemology. By realizing this objective, we attempt to widen the scope of scientific reason or rationality, which for some time now has perniciously been dominated by pure analytic reason alone. In order to achieve this end we need to show specifically that there exists the possibility of articulating a synthetic (constructive) logic/reason, which has been considered by most mainstream thinkers either as not articulatable, or simply non-existent. (B) The second (specific) task is to respond to the challenge of Larry Laudan by demonstrating the possibility of an epistemologically significant generativism. In this context we will argue that this generativism, which is our suggested alternative, and the simplified structuralist and semantic view of scientific theories, mutually reinforce each other to form a single coherent foundation for the renovated analytico-synthetic methodological framework. (C) The third (sub-specific) objective, accordingly, is to show the possibility of articulating a synthetic logic that could guide us in understanding the process of theorization. This is realized by proposing the foundations for developing a logic of inversion, which represents the pattern of synthetic reason in the process of constructing scientific definitions. (shrink)

In: E. Vargios (ed.), Educational Psychology Research Focus, pp.1-26. Nova Science Publishers, Hauppauge, NY. 2007.

an observation to formulate a theory, it is no surprise that the resulting theory accurately captures that observation. However, when the theory makes a novel prediction—when it predicts an observation that was not used in its formulation—this seems to provide more substantial confirmation of the theory. This paper presents a new approach to the vexed problem of understanding the epistemic difference between prediction and accommodation. In fact, there are several problems that need to be disentangled; in all of them, the (...) key is the concept of overfitting. We float the hypothesis that accommodation is a defective methodology only when the methods used to accommodate the data fail to guard against the risk of overfitting. We connect our analysis with the proposals that other philosophers have made. We also discuss its bearing on the conflict between instrumentalism and scientific realism. Introduction Predictivisms—a taxonomy Observations Formulating the problem What might Annie be doing wrong? Solutions Observations explained Mayo on severe tests The miracle argument and scientific realism Concluding comments. (shrink)

The problem of distance from the truth, and more generally distance between hypotheses, is considered here with respect to the case of quantitative hypotheses concerning the value of a given scientific quantity.Our main goal consists in the explication of the concept of distance D(I, ) between an interval hypothesis I and a point hypothesis . In particular, we attempt to give an axiomatic foundation of this notion on the basis of a small number of adequacy conditions.

Kuhn maintains that what marks the transition to a science is the ability to carry out ‘normal’ science—a practice he characterizes as abandoning the kind of testing that Popper lauds as the hallmark of science. Examining Kuhn's own contrast with Popper, I propose to recast Kuhnian normal science. Thus recast, it is seen to consist of severe and reliable tests of low-level experimental hypotheses (normal tests) and is, indeed, the place to look to demarcate science. While thereby vindicating Kuhn on (...) demarcation, my recasting of normal science is seen to tell against Kuhn's view of revolutionary science. (shrink)

A conceptual analysis of falsificationism is performed, in which the central falsificationist thesis is divided into several components. Furthermore, an empirical study of falsification in science is reported, based on the 70 scientific contributions that were published as articles in Nature in 2000. Only one of these articles conformed to the falsificationist recipe for successful science, namely the falsification of a hypothesis that is more accessible to falsification than to verification. It is argued that falsificationism relies on an incorrect view (...) of the nature of scientific inquiry and that it is, therefore, not a tenable research methodology. (shrink)

We examine the philosophical disputes among computer scientists concerning methodological, ontological, and epistemological questions: Is computer science a branch of mathematics, an engineering discipline, or a natural science? Should knowledge about the behaviour of programs proceed deductively or empirically? Are computer programs on a par with mathematical objects, with mere data, or with mental processes? We conclude that distinct positions taken in regard to these questions emanate from distinct sets of received beliefs or paradigms within the discipline: – The rationalist (...) paradigm, which was common among theoretical computer scientists, defines computer science as a branch of mathematics, treats programs on a par with mathematical objects, and seeks certain, a priori knowledge about their ‘correctness’ by means of deductive reasoning. – The technocratic paradigm, promulgated mainly by software engineers and has come to dominate much of the discipline, defines computer science as an engineering discipline, treats programs as mere data, and seeks probable, a posteriori knowledge about their reliability empirically using testing suites. – The scientific paradigm, prevalent in the branches of artificial intelligence, defines computer science as a natural (empirical) science, takes programs to be entities on a par with mental processes, and seeks a priori and a posteriori knowledge about them by combining formal deduction and scientific experimentation. We demonstrate evidence corroborating the tenets of the scientific paradigm, in particular the claim that program-processes are on a par with mental processes. We conclude with a discussion in the influence that the technocratic paradigm has been having over computer science. (shrink)

The recent interest in neuroscientific psychodynamic research ('neuropsychoanalysis') has meant that empirical findings are emerging which allow greater public scrutiny of psychodynamic concepts. However, Malcolm Macmillan has claimed that the psychoanalytic cornerstone, repression, is a circular explanatory concept and incapable of referring to a "real process." This paper discusses Macmillan's criticism and finds that repression is a coherent explanatory term and is not precluded from referring to real processes. Specifically, 'neural inhibition,' triggered by social factors, can account for Freudian repression, (...) without succumbing to circular explanation. Recent developments in neuroscience suggest that a plausible mechanism of inhibition exists, providing testable avenues for the 'cornerstone' of psychoanalysis. Evidence of the role of the frontal lobes, a brain area that appears to mediate the influence of social factors upon impulse control, demonstrates that repression is plausible within a dynamic neural framework. (shrink)

This paper explores themethodological consequences of AmericanPragmatism for the social sciences. It alsocriticises some rival perspectives onmethodology of social research, in particularfalsificationist, realist and someanti-naturalist views. It is argued thatAmerican Pragmatism shows striking affinitieswith the genealogical method of history and thereflexive turn in cultural anthropology. It isalso argued that Pragmatism forces us to thinkdifferently about the relationship betweentheory and empirical research.

A promising recent approach for understanding complex phenomena is recognition of anticipatory behavior of living organisms and social organizations. The anticipatory, predictive action permits learning, novelty seeking, rich experiential existence. I argue that the established frameworks of anticipation, adaptation or learning imply overly passive roles of anticipatory agents, and that a fictionalist standpoint reflects the core of anticipatory behavior better than representational or future references. Cognizing beings enact not just their models of the world, but own make-believe existential agendas as (...) well. Anticipators embody plausible scripts of living, and effectively assume neo-Kantian or pragmatist perspectives of cognition and action. It is instructive to see that anticipatory behavior is not without mundane or loathsome deficiencies. Appreciation of ferally fictionalist anticipation suggests an equivalence of semiosis and anticipation. (shrink)

Argues that truth, moral right, political right, and aesthetic value may be understood as arising out of a naturalist account of humanity, if naturalism is rightly conceived.

The inflation of Type I error rates is thought to be one of the causes of the replication crisis. Questionable research practices such as p-hacking are thought to inflate Type I error rates above their nominal level, leading to unexpectedly high levels of false positives in the literature and, consequently, unexpectedly low replication rates. In this article, I offer an alternative view. I argue that questionable and other research practices do not usually inflate relevant Type I error rates. I begin (...) with an introduction to Type I error rates that distinguishes them from theoretical errors. I then illustrate my argument with respect to model misspecification, multiple testing, selective inference, forking paths, exploratory analyses, p-hacking, optional stopping, double dipping, and HARKing. In each case, I demonstrate that relevant Type I error rates are not usually inflated above their nominal level, and in the rare cases that they are, the inflation is easily identified and resolved. I conclude that the replication crisis may be explained, at least in part, by researchers’ misinterpretation of statistical errors and their underestimation of theoretical errors. (shrink)

‘Post-truth’ has become a buzzword for numerous current crises: the fragmentation of the media landscape, the ongoing debate about ‘fake news’, the loss of trust in science, etc. Although these crises take place in society, it is claimed that the roots of post-truth can be traced back to the history of philosophy. Occasionally, it is asserted that Karl Popper’s critical rationalism gave rise to post-truth: His rejection of verificationism has limited truth claims in the realm of science. Given the absence (...) of infallible evidence and certainty, critical rationalism calls for challenging scientific authority. I argue that post-truth is compatible with critical rationalism from an epistemological point of view, considering that both positions are critical of certainty. However, in critical rationalism, fallibilism, responsibility, and the idea of criticism are combined, and in this respect, it offers a possible way to overcome the problems that are associated with post-truth. This treatment of the problems of post-truth results from the recognition of moral responsibility to take action on the basis of a hypothesis that remains open to revision. (shrink)

It is quite unequivocal that Kuhn was committed to (some version of) naturalism; that he defended, especially in his later work, the autonomy of scientific rationality; and that he rejected the correspondence theory of truth, i.e., the traditional realistic conception of the world’s mind-independence. In this paper, I argue that these three philosophical perspectives form an uneasy triangle, for while it is possible to coherently defend each of them separately or two of them combined, holding all three leads to incoherence. (...) Hence, the only option is to reject one of them in a way that is both compatible with Kuhnian historiography and philosophically fruitful. My purpose in this paper is not exegetical. My ambition is to sketch a coherent philosophical framework which does justice to Kuhn’s historiographical model for scientific change and avoids the philosophical costs of relativism and anti-naturalism. In particular, I argue in favor of the following interconnected positions: (1) Given the role of anomalies in Kuhn’s historiographical model, the latter satisfies the two fundamental conditions for acknowledging the mind-independence of the world: the ‘irreducibility condition’ and the ‘objectivity condition’, (2) Kuhn’s rejection of the notion of an ‘Archimedean platform’ does not entail that the truth-value of beliefs doesn’t play a role in the explanation of their change, (3) Adopting scientific realism is the only way to defend the autonomy of scientific rationality within a naturalistic philosophical framework. However, adopting realism leads to a liberal rather than an eliminative version of naturalism. (shrink)

Inductive reasoning aims at constructing rules and models of general applicability from a restricted set of observations. Induction is a keystone in natural sciences, and it influences diverse application fields such as engineering, medicine and economics. More generally, induction plays a major role in the way humans learn and operate in their everyday life. The level of reliability that a model achieves depends on how informative the observations are relative to the flexibility of the process by which the model is (...) constructed. When the process is articulated so that the model can incorporate descriptive details and subtleties, a large set of informative observations are required to reliably tune the model, whereas models obtained from simple procedures can be tuned with fewer observations. This article introduces the concept of “dominance”, which refers to the situation in which a reduced subset of observations suffices to reconstruct the model. A mathematical framework is presented to quantify the reliability of learning procedures as a function of the size of the subset of dominant observations. Although limited in scope, we believe that our study can contribute to the understanding of some fundamental mechanisms by which knowledge is generated from observations in inductive reasoning. (shrink)