(ENG) The paper examines the first attempts put forward in ancient Greek to build a method for scientific discovery and how they have been progressively neglected. -/- (ITA) L'articolo esamina i primi tentativi effettuati nell'antica grecia di costruire un metodo della scoperta scientifica, e analizza le ragioni che hanno portato al suo progessivo abbandono.

Note: Sections at a more advanced level are indicated by ∞. Preface ix Acknowledgments x Introduction 1 I Nicolaus Copernicus: The Loss of Centrality 3 1 Ptolemy and Copernicus 3 2 A Clash of Two Worldviews 4 2.1 The geocentric worldview 5 2.2 Aristotle’s cosmology 5 2.3 Ptolemy’s geocentrism 9 2.4 A philosophical aside: Outlook 14 2.5 Shaking the presuppositions: Some medieval developments 17 3 The Heliocentric Worldview 20 3.1 Nicolaus Copernicus 21 3.2 The explanation of the seasons 25 3.3 (...) Copernicus and the Copernican turn 28 3.3.1 A philosophical aside: From empirical adequacy to theoretical validity 32 3.4 Copernicus consolidated: Kepler and Galileo 32 4 Copernicus was not a Scientifi c Revolutionary 37 4.1 The Copernican method 39 4.2 The relativity of motion 42 5 The Transition to Newton 43 5.1 On hypotheses 45 6 Some Philosophical Lessons 47 6.1 The loss of centrality 48 6.2 Was Copernicus a realist? 51 6.2.1 Lessons for instrumentalism and realism 52 6.3 Modern realism 55 6.4 The underdetermination of theories by evidence 58 6.4.1 The Duhem--Quine thesis 59 ∞ 6.4.2 The power of constraints 61 ∞ 6.5 Theories, models, and laws 64 ∞ 6.5.1 Theories and models 64 ∞ 6.5.2 Laws of nature, laws of science 68 ∞ 6.5.3 Philosophical views of laws 69 ∞ 6.5.3.1 The inference view 69 ∞ 6.5.3.2 The regularity view 70 ∞ 6.5.3.3 The necessitarian view 73 ∞ 6.5.3.4 The structural view 75 7 Copernicus and Scientifi c Revolutions 77 8 The Anthropic Principle: A Reversal of the Copernican Turn? 83 Reading List 87 Essay Questions 91 II Charles Darwin: The Loss of Rational Design 93 1 Darwin and Copernicus 93 2 Views of Organic Life 94 2.1 Teleology 94 2.1.1 The Great Chain of Being 97 2.1.2 Design arguments 99 2.1.3 Jean Baptiste Lamarck 104 3 Fossil Discoveries 106 3.1 Of bones and skeletons 108 3.2 The antiquity of man 110 4 Darwin’s Revolution 112 4.1 The Darwinian view of life 114 4.1.1 Principles of evolution 116 4.2 The descent of man 119 5 Philosophical Matters 124 5.1 Philosophical presuppositions: Mechanical worldview, determinism, materialism 125 5.2 From biology to the philosophy of mind 129 5.2.1 Empiricism 129 5.2.2 Philosophy of mind 132 5.2.3 Emergent minds 134 5.3 The loss of rational design 136 5.4 Intelligent design 139 6 A Question of Method 143 6.1 Darwinian inferences 143 6.2 Philosophical empiricism 147 6.3 Some principles of elimination 149 ∞ 6.4 Essential features of eliminative induction 150 6.5 Falsifi ability or testability? 155 6.6 Explanation and prediction 157 ∞ 6.7 Some models of scientifi c explanation 159 ∞ 6.7.1 Hempel’s models 160 ∞ 6.7.2 Functional models 161 ∞ 6.7.3 Causal models 163 6.7.3.1 A counterfactual-interventionist account 163 6.7.3.2 A conditional model of causation 165 ∞ 6.7.4 Structural explanations 169 6.8 A brief return to realism 172 6.9 Darwin and scientifi c revolutions 174 6.9.1 Philosophical consequences 176 Reading List 177 Essay Questions 183 III Sigmund Freud: The Loss of Transparency 185 1 Copernicus, Darwin, and Freud 185 2 Some Views of Humankind 187 2.1 Enlightenment views of human nature 188 2.2 Nietzsche’s view of human nature 190 3 Scientism and the Freudian Model of Personality 191 3.1 Freud’s model of the mind 192 3.1.1 A summary of psychoanalytic theory 192 3.1.2 Analogy with physics 195 3.1.3 Freud as an Enlightenment thinker 200 3.1.4 The scientifi c status of the Freudian model 202 3.1.4.1 Freud’s methods 202 ∞ 3.1.4.2 The method of eliminative induction, again 205 3.1.5 Freud stands between the empirical and the hermeneutic models 208 3.1.6 The role of mind in the social world 209 4 The Social Sciences beyond Freud 210 4.1 Two standard models of the social sciences -- some history 210 4.1.1 The naturalistic model 211 4.1.2 The hermeneutic model 213 4.2 Essential features of social science models 218 4.2.1 Essential features of the naturalistic model 218 4.2.2 Essential features of the hermeneutic model 221 4.3 Questions of methodology 224 ∞ 4.3.1 What is Verstehen? 225 ∞ 4.3.2 Weber’s methodology of ideal types 229 ∞ 4.3.3 Verstehen and objectivity 234 ∞ 4.4 Causation in the social sciences 236 ∞ 4.4.1 Weber on causation 236 ∞ 4.4.2 On the existence of social laws 239 4.4.3 Explanation and prediction in the social sciences 242 4.4.4 Underdetermination 243 4.4.5 Realism and relativism 244 ∞ 4.4.6 Reductionism and functionalism 248 5 Evolution and the Social Sciences 253 5.1 Sociobiology -- the fourth revolution? 254 5.2 Evolutionary psychology 257 6 Freud and Revolutions in Thought 261 6.1 Revolutions in thought vs. revolutions in science 263 Reading List 263 Essay Questions 269 Name Index 271 Subject Index 274. (shrink)

The Discovery of Evolution explains what the theory of evolution is all about by providing a historical narrative of discovery. Some of the major puzzles that confront anyone studying living things are discussed and it details how these were solved from an evolutionary perspective. Beginning with the emergence of the early naturalists in the seventeenth century, the scientific discoveries that led up to and then flowed from Darwin and Wallace's theory of evolution by natural selection are then discussed, (...) and finally the modern evolutionary studies at the close of the twentieth century are detailed. This new edition of The Discovery of Evolution is fully updated and contains a new chapter on the evolutionary studies of the twentieth century. By approaching the topic of evolution in this way, it is made accessible to the non-specialist and no previous study of biology is required in order to read and understand this book. (shrink)

This article considers the implications for film analysis of the presence or absence of a manual crank. More specifically, it looks at the 16 mm Time and Motion Study Projector as used in behavioral research in the 1960s and 1970s. The controversial concept of ‘interactional synchrony’, or the dance-like coordination of people in conversation, emerged from the use of this hand-turned projector. William S. Condon developed the concept along with the technique of microanalysis. Starting with the projector manufactured by Bell (...) & Howell, he made numerous improvements to facilitate observation—‘sweeping’ over segments of very short duration to discover the rhythmic synchrony of all filmed participants. It led him to a theory of ‘process’ in communication, and in the reception of speech in particular. People always ‘danced’ to the tune of their own voice, and their listeners ‘danced’ to the tune of the speaker—at intervals of one-sixth or one-eighth of a second. This also led Condon to an epistemology of discovery derived partly from philosophy but mostly from his machinery. The universe, he said, is a ‘continuum of order’ whose structures are preserved through translations of order: of thought into speech, speech into vibrations, vibrations into neurons, and back into behavior. The only exceptions are people with disabilities, like the autistics Condon studied from the 1970s onward. But the very distinction of normal and pathological was epiphenomenal to his scanning technique; it was rooted in material and formal qualities of film and of the projector whose crank he turned often. (shrink)

European thought begins with the Greeks. Scientific and philosophic thinking--the pursuit of truth and the grasping of unchanging principles of life--is a historical development, an achievement; and, as Bruno Snell writes in The Discovery of the Mind, nothing less than a revolution. The Greeks did not take mental resources already at their disposal and merely map out new subjects for discussion and investigation. In poetry, drama, and philosophy they in fact discovered the human mind. The stages in man's gradual (...) understanding of himself are revealed in the course of ancient literature from Homer to Virgil. A rational view of the nature of man slowly established itself in the creations of epic and lyric poetry, tragedy and literary criticism, pre-Socratic thought, and early Greek ethics all the way to the discovery of humanitas and the spiritual landscape of Virgil's Arcadia. The Discovery of the Mind is a landmark work in tracing this evolution of consciousness--one of the distinguishing characteristics of the history of man. (shrink)

Finding causes is a central goal in psychological research. In this paper, I argue based on the interventionist approach to causal discovery that the search for psychological causes faces great obstacles. Psychological interventions are likely to be fat-handed: they change several variables simultaneously, and it is not known to what extent such interventions give leverage for causal inference. Moreover, due to problems of measurement, the degree to which an intervention was fat-handed, or more generally, what the intervention in fact (...) did, is difficult to reliably estimate. A further complication is that the causal findings in psychology are typically made at the population level, and such findings do not allow inferences to individual-level causal relationships. I also discuss the implications of these problems for research, as well as various ways of addressing them, such as focusing more on the discovery of robust but non-causal patterns. (shrink)

Scientific discovery is often regarded as romantic and creative - and hence unanalyzable - whereas the everyday process of verifying discoveries is sober and more suited to analysis. Yet this fascinating exploration of how scientific work proceeds argues that however sudden the moment of discovery may seem, the discovery process can be described and modeled. Using the methods and concepts of contemporary information-processing psychology (or cognitive science) the authors develop a series of artificial-intelligence programs that can simulate (...) the human thought processes used to discover scientific laws. The programs - BACON, DALTON, GLAUBER, and STAHL - are all largely data-driven, that is, when presented with series of chemical or physical measurements they search for uniformities and linking elements, generating and checking hypotheses and creating new concepts as they go along. "Scientific Discovery examines the nature of scientific research and reviews the arguments for and against a normative theory of discovery; describes the evolution of the BACON programs, which discover quantitative empirical laws and invent new concepts; presents programs that discover laws in qualitative and quantitative data; and ties the results together, suggesting how a combined and extended program might find research problems, invent new instruments, and invent appropriate problem representations. Numerous prominent historical examples of discoveries from physics and chemistry are used as tests for the programs and anchor the discussion concretely in the history of science. Pat Langley is an Associate Professor in the Department of Information and Computer Science at the University of California, Irvine.Herbert Simon is a Professor in the Departments of Psychology, Computer Science, and Philosophy at Carnegie-Mellon University. Gary L. Bradshaw is an Assistant Professor in the Department of Psychology and Institute of Cognitive Science at the University of Colorado, Boulder. Jan M. Zytkow is an Associate Professor in the Computer Science Department at Wichita State University. (shrink)

What constitutes a scientific discovery? What role do discoveries play in science, its dynamics and social practices? Must every discovery be attributed to an individual discoverer (or a small number of discoverers)? The paper explores these questions by first critically examining extant philosophical explications of scientific discovery—the models of scientific discovery, propounded by Kuhn, McArthur, Hudson, and Schindler. As a simple, natural and powerful alternative, we proffer the “change-driver model”: in a nutshell, it takes discoveries to (...) be cognitive scientific results that have epistemically advanced science. The model overcomes the shortcomings of its precursors, whilst preserving their insights. We demonstrate its intensional and extensional superiority, especially with respect to the link between scientific discoveries and the dynamics of science, as well as the award system of science. Both as an illustration, and as an application to a recent scientific and political controversy, we apply the considered models of discovery to one of the most momentous discoveries of science: the expansion of the universe. We oppose the 2018 proposal of the International Astronomers’ Union as too simplistic vis-`a-vis the historical complexity of the episode. The change- driver model yields a more nuanced and circumspect verdict: (i) The redshift-distance relation shouldn’t be named the “Hubble-Lemaître Law”, but “Slipher-Lundmark-Hubble-Humason Law”; (ii) Its interpretation in terms of an expanding universe, however, Lemaître ought to be given credit for; but (iii) The establishment of the expansion of the universe, as an evidentially sufficiently warranted result, is a communal achievement, emerging in the 1950s or 1960s. (shrink)

Aristotle's Categories can easily seem to be a statement of a naïve, pre-philosophical ontology, centered around ordinary items. Wolfgang-Rainer Mann argues that the treatise, in fact, presents a revolutionary metaphysical picture, one Aristotle arrives at by (implicitly) criticizing Plato and Plato's strange counterparts, the "Late-Learners" of the Sophist. As Mann shows, the Categories reflects Aristotle's discovery that ordinary items are things (objects with properties). Put most starkly, Mann contends that there were no things before Aristotle. The author's argument consists (...) of two main elements. First, a careful investigation of Plato which aims to make sense of the odd-sounding suggestion that things do not show up as things in his ontology. Secondly, an exposition of the theoretical apparatus Aristotle introduces in the Categories--an exposition which shows how Plato's and the Late-Learners' metaphysical pictures cannot help but seem inadequate in light of that apparatus. In doing so, Mann reveals that Aristotle's conception of things--now so engrained in Western thought as to seem a natural expression of common sense--was really a hard-won philosophical achievement. Clear, subtle, and rigorously argued, The Discovery of Things will reshape our understanding of some of Aristotle's--and Plato's--most basic ideas. (shrink)

The defining insight of evolutionary psychology consists of bringing considerations drawn from evolutionary biology to bear on the study of human psychology. So characterized, evolutionary psychology encompasses a large range of views about the nature and evolution of human psychology as well as diverging opinions about the proper method for studying them.¹ In this article, I propose to clarify and evaluate various aspects of evolutionary psychologists’ methodology, with a special focus on their heuristics of discovery—i.e., their methods for developing (...) plausible hypotheses—and their strategies of confirmation—i.e., their methods for providing empirical support for these hypotheses.² I will also evaluate several well-known objections raised against evolutionary psychology. Note that because views about psychology and evolution differ among evolutionary psychologists, I do not pretend to cover every method used in evolutionary psychology.³. (shrink)

The main message of this volume is that the creative process of discovery is not a purely rational enterprise in the traditional sense which equates rationality with logical reasoning, yet it is a manifestation of a universal phenomenon ...

The distinction between discovery and justification is ambiguous. This obscures the debate over a logic of discovery. For the debate presupposes the distinction. Real discoveries are well established. What is well established is justified. The proper distinctions are three: initial thinking, plausibility, and acceptability. Logic is not essential to initial thinking. We do not need good supporting reasons to initially think of an hypothesis. Initial thoughts need be neither plausible nor acceptable. Logic is essential, as Hanson noted, to (...) both plausibility and acceptability. An hypothesis needs good supporting reasons to be either plausible or acceptable. Such reasons need not be relative to the particular scientific theory undergoing test at the time. There is no fundamental difference between reasons relevant to plausibility and acceptability. The difference is one of degree. Acceptability requires more than plausibility. (shrink)

How do scientific models represent in a way that enables us to discover new truths about reality and draw inferences about it? Contemporary accounts of scientific discovery answer this question by focusing on the cognitive mechanisms involved in the generation of new ideas and concepts in terms of a special sort of reasoning—or model-based reasoning—involving imagery. Alternatively, I argue that answering this question requires that we recognise the crucial role of the propositional imagination in the construction and development of (...) models for the purpose of generating hypotheses that are plausible candidates for truth. I propose simple fictionalism as a new account of models as Waltonian games of make-believe and suggest that models can lead to genuine scientific discovery when they are used as representations that denote real world phenomena and generate two main kinds of theoretical hypotheses, model-world comparisons and direct attributions. (shrink)

The general question considered is whether and to what extent there are features of our mathematical knowledge that support a realist attitude towards mathematics. I consider, in particular, reasoning from claims such as that mathematicians believe their reasoning to be part of a process of discovery (and not of mere invention), to the view that mathematical entities exist in some mind-independent way although our minds have epistemic access to them.

The history of science is articulated by moments of discovery. Yet, these 'moments' are not simple or isolated events in science. Just as a scientific discovery illuminates our understanding of nature or of society, and reveals new connections among phenomena, so too does the history of scientific activity and the analysis of scientific reasoning illuminate the processes which give rise to moments of discovery and the complex network of consequences which follow upon such moments. Understanding discovery (...) has not been, until recently, a major concern of modem philosophy of science. Whether the act of discoyery was regarded as mysterious and inexplicable, or obvious and in no need of explanation, modem philosophy of science in effect bracketed the question. It concentrated instead on the logic of scientific explanation or on the issues of validation or justification of scientific theories or laws. The recent revival of interest in the context of discovery, indeed in the acts of discovery, on the part of philosophers and historians of science, represents no one particular method'ological or philosophical orientation. It proceeds as much from an empiricist and analytical approach as from a sociological or historical one; from considerations of the logic of science as much as from the alogical or extralogical contexts of scientific tho'¢tt and practice. But, in general, this new interest focuses sharply on the actual historical and contem porary cases of scientific discovery, and on an examination of the act or moment of discovery in situ. (shrink)

In distinguishing justification from discovery, the logical empiricists hoped to avoid confusing causal matters with normative ones. Exaggerating the virtue of this distinction, however, has disguised from us important features of the concept of a reason as it functions in human practice. Surfacing those features gives some insight into reasoning and argument.

When two or more (groups of) researchers independently investigating the same domain arrive at the same result, a multiple discovery occurs. The pervasiveness of multiple discoveries in science suggests the intuition that they are in some sense inevitable—that one should view them as results that force themselves upon us, so to speak. We argue that, despite the intuitive force of such an “inevitabilist insight,” one should reject it. More specifically, we distinguish two facets of the insight and argue that: (...) (a) the profusion of multiple discoveries in scientific practice does not support the inevitabilist side of the inevitability/contingency of science controversy; and (b) the crucial role of background knowledge in scientific inquiry complicates the attempt to interpret the pervasiveness of multiple discoveries in realist terms. (shrink)

In the paper I explore the relations between a relatively new and quickly expanding branch of artificial intelligence –- the automated discovery systems –- and some new views advanced in the old debate over scientific realism. I focus my attention on one such system, GELL-MANN, designed in 1990 at Wichita State University. The program's task was to analyze elementary particle data available in 1964 and formulate an hypothesis (or hypotheses) about a `hidden', more simple structure of matter, or to (...) put it in contemporary terms –- the discovery of quarks. The central thesis of my paper is that systems like GELL-MANN not only discover (or rediscover) the hidden structure of matter, but also provide independent strong evidence in favor of scientific realism about entities involved in that structure. I make an attempt to show how an argument for scientific realism about sub-microscopic entities can be constructed that would parallel Ian Hacking's `argument from coincidence' presented with respect to microscopic objects in his famous book Representing and Intervening. (shrink)

An inference to a new explanation may be both logically non-ampliative and epistemically ampliative. Included among the premises of the latter form is the explanadum--a unique premise which is capable of embodying what we do not know about the matter in question, as well as legitimate aspects of what we do know. This double status points to a resolution of the Meno paradox. Ampliative inference of this sort, it is argued, has much in common with Nickles' idea of discoverability and, (...) together with the mapping and correction procedures (briefly summarized) required for such inference, may suggest a broadening of the concept of justification which would incorporate much of what has been defended in theories of discovery. (shrink)

On Discovery became a key reference for anyone who wanted to know about "firsts" in theology, philosophy, science, technology, literature, language, law, material culture, and other fields. Polydore took his information from dozens of Greek, Roman, biblical, and Patristic authorities. His main point was to show that many Greek and Roman claims for discovery were false and that ancient Jews or other Asian peoples had priority.

We investigate the context of discovery of two significant achievements of twentieth century biochemistry: the chemiosmotic mechanism of oxidative phosphorylation and the dark reaction of photosynthesis. The pursuit of these problems involved discovery strategies such as the transfer, recombination and reversal of previous causal and mechanistic knowledge in biochemistry. We study the operation and scope of these strategies by careful historical analysis, reaching a number of systematic conclusions: even basic strategies can illuminate “hard cases” of scientific discovery (...) that go far beyond simple extrapolation or analogy; the causal–mechanistic approach to discovery permits a middle course between the extremes of a completely substrate-neutral and a completely domain-specific view of scientific discovery; the existing literature on mechanism discovery underemphasizes the role of combinatorial approaches in defining and exploring search spaces of possible problem solutions; there is a subtle interplay between a fine-grained mechanistic and a more coarse-grained causal level of analysis, and both are needed to make discovery processes intelligible. (shrink)

Given a set of objects characterized by a number of attributes, hidden patterns can be discovered in them for the grouping of similar objects into clusters. If each of these clusters can be considered as exemplifying a certain concept, then the problem concerned can be referred to as a concept discovery problem. This concept discovery problem can be solved to some extent by existing data clustering techniques. However, they may not be applicable when the concept involved is vague (...) in nature or when the attributes characterizing the objects can be qualitative, quantitative, and fuzzy at the same time. To discover such concepts from objects with such characteristics, we propose a Genetic-Algorithm-based technique. By encoding a specific object grouping in a chromosome and a fitness measure to evaluate the cluster quality, the proposed technique is able to discover meaningful fuzzy clusters and assign membership degrees to objects that do not fully exemplify a certain concept. For evaluation, we tested the proposed technique with simulated and real data and the results are found to be very promising. (shrink)

Scientists routinely solve the problem of supplementing one’s store of variables with new theoretical posits that can explain the previously inexplicable. The banality of success at this task obscures a remarkable fact. Generating hypotheses that contain novel variables and accurately project over a limited amount of additional data is so difficult—the space of possibilities so vast—that succeeding through guesswork is overwhelmingly unlikely despite a very large number of attempts. And yet scientists do generate hypotheses of this sort in very few (...) tries. I argue that this poses a dilemma: either the long history of scientific success is a miracle, or there exists at least one method or algorithm for generating novel hypotheses with at least limited projectibility on the basis of what’s available to the scientist at a time, namely a set of observations, the history of past conjectures, and some prior theoretical commitments. In other words, either ordinary scientific success is miraculous or there exists a logic of discovery at the heart of actual scientific method. (shrink)

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

Dr Jardine finds a unifying principle in Bacon's preoccupation with 'method', the evaluation and organisation of information as a procedure of investigation or ...

In recent years, there have been some attempts to defend the legitimacy of a non-inductive generative logic of discovery whose strategy is to analyze a variety of constraints on the actual generation of explanatory hypotheses. These proposed new theories, however, are only weakly generative (relying on sophisticated processes of elimination) rather than strongly generative (embodying processes of correction).This paper develops a strongly generative theory which holds that we can come to know something new only as a variant of what (...) we already know — and that the novelty of this variant is not thereby eliminated nor beyond our powers of characterization, a double requirement that is vital for resolving the Meno paradox. In this light, the discovery of a new hypothesis is taken as the correction of an antecedent hypothesis in response to the discrepancies between the predictions generated by that antecedent hypothesis and the desired result (e.g. the actual data to be explained). This process comprises two parallel operations: the first, which demonstrates the positive role of the facts in generating new explanations, involves a mapping between multiple hypotheses and sets of predictions generated from those hypotheses, for the purpose of taking the actual data as a determinable variant of neighboring sets of predictions. This mapping permits the facts to indicate how corrective adjustments in the working hypothesis should be made; the second operation, which demonstrates the positive role of explanations in generating new facts, involves a mapping between differently construed versions of the actual data and the conceptualizations derived from those perceptual versions, for the purpose of taking the working hypothesis as a determinable variant of these neighboring conceptualizations. This mapping permits a given hypothesis to generate predictions increasingly closer to the actual facts. (shrink)

In this paper I consider two accounts of scientific discovery, Robert Hudson's and Peter Achinstein's. I assess their relative success and I show that while both approaches are similar in promising ways, and address experimental discoveries well, they could address the concerns of the discovery sceptic more explicitly than they do. I also explore the implications of their inability to address purely theoretical discoveries, such as those often made in mathematical physics. I do so by showing that extending (...) Hudson's or Achinstein's account to such cases can sometimes provide a misleading analysis about who ought to be credited as a discoverer. In the final sections of the paper I work out some revisions to the Hudson/Achinstein account by drawing from a so-called structural realist view of theory change. Finally, I show how such a modified account of discovery can answer sceptical critics such as Musgrave or Woolgar without producing misleading analyses about who ought to receive credit as a discoverer in cases from the mathematical sciences. I illustrate the usefulness of this approach by providing an analysis of the case of the discovery of the Casimir effect. (shrink)

We investigate the context of discovery of two significant achievements of twentieth century biochemistry: the chemiosmotic mechanism of oxidative phosphorylation and the dark reaction of photosynthesis. The pursuit of these problems involved discovery strategies such as the transfer, recombination and reversal of previous causal and mechanistic knowledge in biochemistry. We study the operation and scope of these strategies by careful historical analysis, reaching a number of systematic conclusions: even basic strategies can illuminate “hard cases” of scientific discovery (...) that go far beyond simple extrapolation or analogy; the causal–mechanistic approach to discovery permits a middle course between the extremes of a completely substrate-neutral and a completely domain-specific view of scientific discovery; the existing literature on mechanism discovery underemphasizes the role of combinatorial approaches in defining and exploring search spaces of possible problem solutions; there is a subtle interplay between a fine-grained mechanistic and a more coarse-grained causal level of analysis, and both are needed to make discovery processes intelligible. (shrink)

German classicist's monumental study of the origins of European thought in Greek literature and philosophy. Brilliant, widely influential. Includes "Homer's View of Man," "The Olympian Gods," "The Rise of the Individual in the Early Greek Lyric," "Pindar's Hymn to Zeus," "Myth and Reality in Greek Tragedy," and "Aristophanes and Aesthetic Criticism.".

German classicist's monumental study of the origins of European thought in Greek literature and philosophy.

Reichenbach's well-known distinction between the context of discovery and the context of justification has recently come under attack from several quarters. In this paper I attempt to reconsider the distinction and evaluate various recent criticisms of it. These criticisms fall into two main groups: those which directly challenge Reichenbach's distinction; and those which (I argue) indirectly but no less seriously challenge that distinction by rejecting the related distinction between psychology and epistemology, and defending the "naturalizing" of epistemology. I argue (...) that these recent criticisms fail, and that the distinction remains an important conceptual tool necessary for an adequate understanding of the way in which scientific claims purport to appropriately portray our natural environment. (shrink)

This volume offers selected papers exploring issues arising from scientific discovery in the social sciences. It features a range of disciplines including behavioural sciences, computer science, finance, and statistics with an emphasis on philosophy. The first of the three parts examines methods of social scientific discovery. Chapters investigate the nature of causal analysis, philosophical issues around scale development in behavioural science research, imagination in social scientific practice, and relationships between paradigms of inquiry and scientific fraud. The next part (...) considers the practice of social science discovery. Chapters discuss the lack of genuine scientific discovery in finance where hypotheses concern the cheapness of securities, the logic of scientific discovery in macroeconomics, and the nature of that what discovery with the Solidarity movement as a case study. The final part covers formalising theories in social science. Chapters analyse the abstract model theory of institutions as a way of representing the structure of scientific theories, the semi-automatic generation of cognitive science theories, and computational process models in the social sciences. The volume offers a unique perspective on scientific discovery in the social sciences. It will engage scholars and students with a multidisciplinary interest in the philosophy of science and social science. (shrink)

While collaboration has always played an important role in many cases of discovery and creation, recent developments such as the web facilitate and encourage collaboration at scales never seen before, even in areas such as mathematics, where contributions by single individuals have historically been the norm. This new scenario poses a challenge at the theoretical level, as it brings out the importance of various issues which, as of yet, have not been sufficiently central to the study of problem-solving, (...) class='Hi'>discovery, and creativity. We analyze the case of collective and web-based proof events in mathematics, which share their temporal and social nature with every case of collective problem-solving. We propose that some ideas from cognitive architectures, in particular, the notion of codelet—understood as an agent engaged in one of a multitude of available tasks—can illuminate our understanding of collective problem-solving and act as a natural bridge from some of the theoretical aspects of collective, web-based discovery to the practical concern of designing cognitively inspired systems to support collective problem-solving. We use the Pythagorean Theorem and its many proofs as a case study to illustrate our approach. (shrink)

§1. Introduction. This paper deals with aspects of my doctoral dissertation which contributed to the early development of model theory. What was of use to later workers was less the results of my thesis, than the method by which I proved the completeness of first-order logic—a result established by Kurt Gödel in his doctoral thesis 18 years before.The ideas that fed my discovery of this proof were mostly those I found in the teachings and writings of Alonzo Church. This (...) may seem curious, as his work in logic, and his teaching, gave great emphasis to the constructive character of mathematical logic, while the model theory to which I contributed is filled with theorems about very large classes of mathematical structures, whose proofs often by-pass constructive methods.Another curious thing about my discovery of a new proof of Gödel's completeness theorem, is that it arrived in the midst of my efforts to prove an entirely different result. Such “accidental” discoveries arise in many parts of scientific work. Perhaps there are regularities in the conditions under which such “accidents” occur which would interest some historians, so I shall try to describe in some detail the accident which befell me.A mathematical discovery is an idea, or a complex of ideas, which have been found and set forth under certain circumstances. The process of discovery consists in selecting certain input ideas and somehow combining and transforming them to produce the new output ideas. The process that produces a particular discovery may thus be represented by a diagram such as one sees in many parts of science; a “black box” with lines coming in from the left to represent the input ideas, and lines going out to the right representing the output. To describe that discovery one must explain what occurs inside the box, i.e., how the outputs were obtained from the inputs. (shrink)

The discovery of the Higgs particle required a signal of 5σ significance. The rigid application of that condition is a convention that disregards more specific aspects of the given experiment. In particular, it does not account for the characteristics of the look elsewhere effect in the individual experimental context. The paper relates this aspect of data analysis to the question as to what extent theoretical reasoning should be admitted to play a role in the assessment of the significance of (...) empirical data. (shrink)

This article concerns itself with the reception of Rous’ 1911 discovery of what later came to be known as the Rous Sarcoma Virus. Rous made his discovery at the Rockefeller Institute for Medical Research which had been primarily established to conduct research into infectious diseases. Rous’ chance discovery of a chicken tumor led him to a series of conjectures about cancer causation and about whether cancer could have an extrinsic cause. Rous’ finding was received with some scepticism (...) by the scientific community that held that cancer was not infectious and favored explanations which located the origins of cancer in the inner mechanism of the cell. After 4 years of unsuccessful effort to isolate and further determine the virus Rous felt compelled to discontinue his work on cancer viruses. When 55 years later, the significance of Rous’s discovery was attested by the award of the Nobel Prize, it opened up debates about the issues of delayed recognition and scientific reputation. This article also considers why Rous’ hypothesis of a viral origin of cancer could not be incorporated into the existing body of knowledge about cancer before the 1950s. (shrink)

I will examine the first of Thomas Kuhn’s Thalheimer Lectures delivered in 1984, with the purpose of establishing a connection between Kuhn’s historiographical thought and his criticism of the traditional distinction between the context of discovery and the context of justification, or, as I call it, the DJ distinction. In order to do this, I will start by exploring the Kuhnian view of the so-called static approach in philosophy of science, taking as my main reference the work of Bacon, (...) Descartes, and foundationalist epistemology. I will continue by examining the relationship between Kuhnian historiography and the DJ distinction, comparing the first Thalheimer Lecture with other texts published by Kuhn. Finally, I will assert that Kuhn’s rejection of the DJ distinction is the result of adopting a historiographical matrix whose philosophical consequences are irreconcilable with the static approach in history and philosophy of science, for which the DJ distinction is essential. (shrink)

It was an empirical discovery that Phosphorus is Hesperus. According to Kripke, this was also the discovery of a necessary fact. Now, given Kripke’s theory of direct reference one could wonder what kind of discovery this is. For we already knew Phosphorus/Hesperus, and we also knew that any entity is, necessarily, identical to itself. So what is it that was discovered? I want to show that there is more to this widely known case than what usual readings, (...) and critics, reveal; and I want to show this under the Kripkean pattern that what was discovered is the plain fact of identity that Phosphorus is, and necessarily is, Hesperus. Moreover, I will show how both Kripkean theses, the necessity of identity and the direct theory of reference, should not be kept apart to understand the kind of discovery this is. In particular, understanding the kind of discovery we made will help us see how intuition is displayed in metaphysics, and how metaphysical impossibilities, and metaphysical modality in general, can be discerned by reason and separated from other modalities. The study of this discovery will help us see, in a line, how identity belongs to the inner and most profound structure of reality and to the most profound structure of cognition and language. (shrink)

First encounters : Jesuit logica in the late Ming and early Qing -- Haphazard overtures : logic in nineteenth-century Protestant writings -- Great expectations : Yan Fu and the discovery of European logic -- Spreading the word : logic in late Qing education and popular discourse -- Heritage unearthed : the discovery of Chinese logic -- Textbooks on logic adapted from Japanese, 1902-1911 -- Logical terms in early-twentieth-century textbooks.

An important fact about human labor is that it can result not just in reproduction of what it started with, but in something new, a surplus product. When the latter is a means of production, it makes possible a mechanism of change consisting of reproduction by means of the expanded means of production. Each iteration of the labor process can differ from the preceding one insofar as it incorporates the surplus generated previously. Over the long-term, this cyclical process can lead (...) to the self-transformation of labor and, through it, of human societies and cultures. In this paper, I argue that this mechanism of change is also at work in the history of science. I argue that the form this mechanism takes in science is that of a feedback loop between discovery and instrument construction. This process requires the integration, and transformation into material form, of different kinds of knowledge. Based on this mechanism, I defend a concept of scientific progress as transcendence of the limitations of native human epistemic abilities. I also criticize narrowly biologistic approaches to the history of science for ignoring the role of surplus generation in transforming the labor process, and discuss some problems associated with viewing science as labor. (shrink)

This volume thus clears the ground for the productive and fruitful integration of these new developments into philosophy of science.

"A discussion of the historical development of our ideas of time as they relate to nature, human nature and society. . . . The excellence of The Discovery of Time is unquestionable."--Martin Lebowitz, The Kenyon Review.