Many urgent problems that societies currently face—from climate change to a global pandemic—require citizens to engage with scientific information as members of democratic societies as well as to solve problems in their personal lives. Most often, to solve their epistemic aims (aims directed at achieving knowledge and understanding) regarding such socio-scientific issues, individuals search for information online, where there exists a multitude of possibly relevant and highly interconnected sources of different perspectives, sometimes providing conflicting information. The paper provides (...) a review of the literature aimed at identifying (a) constraints and affordances that scientific knowledge and the online information environment entail and (b) individuals' cognitive and motivational processes that have been found to hinder, or conversely, support practices of engagement (such as critical information evaluation or two-sided dialogue). Doing this, a conceptual framework for understanding and fostering what we callonline engagement with scientific informationis introduced, which is conceived as consisting of individual engagement (engaging on one's own in the search, selection, evaluation, and integration of information) and dialogic engagement (engaging in discourse with others to interpret, articulate and critically examine scientific information). In turn, this paper identifies individual and contextual conditions for individuals' goal-directed and effortful online engagement with scientific information. (shrink)

In this paper the relation between scientific problems and the constraints on their solutions is explored. First the historical constraints on the solution to the blackbody radiation problem are set out. The blackbody history is used as a guide in sketching a working taxonomy of constraints, which distinguishes various kinds of reductive and nonreductive constraints. Finally, this discussion is related to some work in erotetic logic. The hypothesis that scientific problems can be identified with (...) structured sets of constraints is interesting; however, a full defense of the identification thesis requires the resolution of some unsolved problems. (shrink)

Interpretation, Constraint, and the Prospects of Scientific Realism I explore the interaction between theory-based interpretations of scientific evidence and constraints on theories provided by that evidence. Interpretation is often viewed as a source of error and a reason for scepticism about scientific results. But, I argue, while interpretation does generate epistemic risk, it also points to new sources of evidence that can constrain our theories. This is especially clear in the development of instrumentation that increases the (...) range of our interactions with nature. While the design of such instruments and the interpretation of their outputs are deeply dependent on theory-based interpretations, these outputs can still challenge those very theories. At the same time, theory-guided instrumentation provides us access to aspects of nature that we cannot study with our unaided senses. This access allows us to extend the range of evidence that we collect, and thus increases the constraints on our theories. As a result, theory-guided evidence collection has a positive impact on the prospects of scientific realism since these increasing constraints on our theories provide our only reason for thinking that we may be approaching the development of true theories. (shrink)

The ArgumentIn this paper three canonical studies of the scientific revolution are subjected to narratological analysis. Underlying this analysis is the assumption that in any single product of historical writing it is possible to distinguish, for analytical purposes, between three levels of reference: the object of the text — the events; the representation of the events — the narrative; and the text in which a story is represented by means of narrative. Through texts one learns about historical events, but (...) also about the process of producing the texts. Techniques of representation are means of production of texts that represent, in addition to the events, also the producer and his or her authority. The distinction made for any specific text allows the reader to play the two levels against each other in order to create a space within which historical writing should be criticized. Such criticism may draw attention to the difficulty of controlling the meaning of historical stories, and to the need to analyze narrative structures in order to appreciate the ideological changes of historical texts. (shrink)

How do scientists who devote their entire lives to solving a small problem in theoretical physics work? What causes a team of young researchers to be completely devoted to its work? What do they share with and what distinguishes them from teams who do not have creativity as a necessary goal of their mission? This article discusses some possible answers to these questions, starting from a research team in physics, in which the author took part as a researcher over a (...) considerable period of time. (shrink)

A conservation law in physics can be either a constraint on the kinds of interaction there could be or a coincidence of the kinds of interactions there actually are. This is an important, unjustly neglected distinction. Only if a conservation law constrains the possible kinds of interaction can a derivation from it constitute a scientific explanation despite failing to describe the causal/mechanical details behind the result derived. This conception of the relation between “bottom-up” scientific explanations and one kind (...) of “top-down” scientific explanation is motivated by several examples from classical and modern physics. (shrink)

Papers presented at a conference held at the University of Notre Dame in April 1986.

"Of Children, Fools, and Madmen: Spinoza's Scientific Method and the Constraints of Fact" Spinoza has been largely ignored in the history of the scientific method in the seventeenth century. Such neglect is unjustified insofar as Spinoza deliberately circumscribed with scientific method both Biblical hermeneutics (TTP), a field which he deserves credit for founding, and political theory (TP). Although he wrote no discrete discourse on method, he wove his scientific methodological principles into the fabric of his (...) philosophical treatises. (shrink)

According to best systems accounts, laws of nature are generalizations in the best systematization of particular matters of fact. Metrics such as simplicity and strength determine which systematization is best, but these are notoriously language relative. For this reason, David Lewis proposed a constraint on languages of inquiry: all predicates must be natural. This constraint is sometimes interpreted as requiring us to know which natural properties are instantiated in our world prior to scientific theorizing. I argue that this interpretation (...) is incorrect. I provide a better interpretation and show how it undercuts an influential epistemological objection to Lewis's best systems account of laws due to Bas van Fraassen. (shrink)

Life scientists increasingly rely upon abstraction-based modeling and reasoning strategies for understanding biological phenomena. We introduce the notion of constraint-based reasoning as a fruitful tool for conceptualizing some of these developments. One important role of mathematical abstractions is to impose formal constraints on a search space for possible hypotheses and thereby guide the search for plausible causal models. Formal constraints are, however, not only tools for biological explanations but can be explanatory by virtue of clarifying general dependency-relations and (...) patterning between functions and structures. We describe such situations as constraint-based explanations and argue that these differ from mechanistic strategies in important respects. While mechanistic explanations emphasize change-relating causal features, constraint-based explanations emphasize formal dependencies and generic organizational features that are relatively independent of lower-level changes in causal details. Our distinction between mechanistic and constraint-based explanations is pragmatically motivated by the wish to understand scientific practice. We contend that delineating the affordances and assumptions of different explanatory questions and strategies helps to clarify tensions between diverging scientific practices and the innovative potentials in their combination. Moreover, we show how constraint-based explanation integrates several features shared by otherwise different philosophical accounts of abstract explanatory strategies in biology. (shrink)

In the 1960s, the history and philosophy of science made common cause in the search for universal patterns of theory change: philosophers provided models, historians offered examples. But the two enterprises pulled apart during the 1970s. Now there is a new arena of joint concern. Historians and philosophers are searching for the conditions under which standards of theoretical and experimental demonstration are established. I argue against the picture of these standards as independent of (or reducible to) the context of their (...) introduction. Instead, I suggest that we think of scientific developments as simultaneous solutions to multiple constraints; the constraints issue from domains as diverse as the technical, the aesthetic and the political. (shrink)

Studies performed in absence of gravitational constraint show that a living system is unable to choose between two different phenotypes, thus leading cells to segregate into different, alternative stable states. This finding demonstrates that the genotype does not determine by itself the phenotype but requires additional, physical constraints to finalize cell differentiation. Constraints belong to two classes: holonomic (independent of the system's dynamical states, as being established by the space‐time geometry of the field) and non‐holonomic (modified during those (...) biological processes to which they contribute in shaping). This latter kind of “constraints”, in which dynamics works on the constraint to recreate them, have emerged as critical determinants of self‐organizing systems, by manifesting a “closure of constraints.” Overall, the constraints act by harnessing the “randomness” represented by the simultaneous presence of equiprobable events restraining the system within one attractor. These results cast doubt on the mainstream scientific concept and call for a better understanding of causation in cell biology. (shrink)

Any successful account of the metaphysics of mechanistic causation must satisfy at least five key desiderata. In this article, I lay out these five desiderata and explain why existing accounts of the metaphysics of mechanistic causation fail to satisfy them. I then present an alternative account that does satisfy the five desiderata. According to this alternative account, we must resort to a type of ontological entity that is new to metaphysics, but not to science: constraints. In this article, I (...) explain how a constraints-based metaphysics fits best with the emerging consensus on the nature of mechanistic explanation. 1Introduction2Renormalizability2.1The first two desiderata: Intrinsicness and productivity2.2The third desideratum: Scientific validity or non-mysteriousness2.3The fourth desideratum: Directionality2.4The fifth desideratum: Perspectival nature of mechanisms3Constraints and Causation3.1Multi-perspectival realism and causal structure3.2Causal structure as laws3.3Causal structures in analytical mechanics: Constraints3.4A metaphysics inspired by analytical mechanics: Constraints as ontologically primitive modal structures4Constraints and Mechanistic Causal Powers 4.1Inter- versus intra-perspectival categories4.2Mechanistic causal powers are grounded by constraints4.3Intrinsicness and constraints4.4Constraints and productiveness4.5Constraints and directionality5Conclusion. (shrink)

ABSTRACT In a recent article, Samir Okasha presented an argument that suggests that there is no rational way to choose among scientific theories. This would seriously undermine the view that science is a rational enterprise. In this article, I show how a suitably nuanced view of what scientific rationality requires allows us to sidestep this argument. In doing so, I present a new argument in favour of voluntarism of the type favoured by van Fraassen. I then show how (...) such a view of scientific rationality gives a precise interpretation of what Thomas Kuhn thought. _1_ Introduction _2_ Okasha’s Argument _3_ Rationality Can Be Silent _4_ Arrow Undermined _5_ The Informational-Basis Escape _6_ Theory Choice at the Level of the Individual Scientist _7_ Kuhn Vindicated _8_ Trade-offs and Partial Commensurability _9_ Conclusion. (shrink)

The scientific validity of racial categories has been the subject of debate among population geneticists, evolutionary biologists, and physical anthropologists for several decades. After World War II, the rejection of eugenics, which had supported sterilization laws and other destructive programs in the United States, generated a compelling critique of the biological basis of race. The classification of human beings into distinct biological “races” is a relatively recent invention propped up by deeply flawed evidence and historically providing the foundation of (...) racist ideology and inequities of power. Social scientists’ conclusion that race is socially constructed was confirmed by genomic studies of human variation, including the Human Genome Project, showing high levels of genetic similarity within the human species. Some scholars came to believe that the science of human genetic diversity would replace race as the preeminent means of grouping people for scientific purposes. (shrink)

It is often thought that metaphysical grounding underwrites a distinctive sort of metaphysical explanation. However, it would be a mistake to think that all metaphysical explanations are underwritten by metaphysical grounding. In service of this claim, I offer a novel kind of metaphysical explanation called metaphysical explanation by constraint, examples of which have been neglected in the literature. I argue that metaphysical explanations by constraint are not well understood as grounding explanations.

For half a century the idea of rational thought has been challenged by discoveries that call into question some of its foundations. How we actually think seems to be at odds with descriptive and prescriptive models that once held sway in the development of modern science and scholarship. One response to these challenges has been a loss of nerve. Another—the one on display in Rationality: Contexts and Constraints—is an active attempt to revise those models, so as to enhance their (...) compatibility with new discoveries, in a maximally coherent and inclusive way. Rationality: Contexts and Constraints is an inter-disciplinary reappraisal of the nature of rationality. In method it is pluralistic, drawing upon the analytic approaches of philosophy, linguistics, neuroscience, and more. These methods guide exploration of the intersection between hoary scholarship and cutting-edge philosophical or scientific research. In this way, Rationality: Contexts and Constraints contributes to development of a suitably revised, comprehensive understanding of rationality, one that befits the 21st century, one that is adequately informed by recent investigations of science, pathology, non-human thought, emotion, and even enigmatic Chinese texts that might previously have seemed to be expressions of irrationalism. • Addresses recent challenges and Identifies a direction for future research on rationality • Investigates the relationship between rationality and mental disorders such as delusion and depression • Assesses reasoning in artificial intelligence and nonhuman animals • Reflects on ancient Chinese Philosophy and possible cultural differences in human psychology • Employs philosophical reflection along with linguistic, probabilistic, and logical techniques -/- . (shrink)

"Rationality: Contexts and Constraints" is an interdisciplinary reappraisal of the nature of rationality. In method, it is pluralistic, drawing upon the analytic approaches of philosophy, linguistics, neuroscience, and more. These methods guide exploration of the intersection between traditional scholarship and cutting-edge philosophical or scientific research. In this way, the book contributes to development of a suitably revised, comprehensive understanding of rationality, one that befits the 21st century, one that is adequately informed by recent investigations of science, pathology, non-human (...) thought, emotion, and even enigmatic Chinese texts that might previously have seemed to be expressions of irrationalism. Addresses recent challenges and Identifies a direction for future research on rationalityInvestigates the relationship between rationality and mental disorders, such as delusion and depressionAssesses reasoning in artificial intelligence and nonhuman animalsReflects on ancient Chinese Philosophy and possible cultural differences in human psychology Employs philosophical reflection, along with linguistic, probabilistic, and logical techniques. (shrink)

This paper is concerned with reasonings that purport to explain why certain organisms have certain traits by showing that their actual design is better than contrasting designs. Biologists call such reasonings 'functional explanations'. To avoid confusion with other uses of that phrase, I call them 'design explanations'. This paper discusses the structure of design explanations and how they contribute to scientific understanding. Design explanations are contrastive and often compare real organisms to hypothetical organisms that cannot possibly exist. They are (...) not causal but appeal to functional dependencies between an organism's different traits. These explanations point out that because an organism has certain traits, it cannot be alive if the trait to be explained were replaced by a specified alternative. They can be understood from a mechanistic point of view as revealing the constraints on what mechanisms can be alive. (shrink)

Scientific models represent aspects of the empirical world. I explore to what extent this representational relationship, given the specific properties of models, can be analysed in terms of propositions to which truth or falsity can be attributed. For example, models frequently entail false propositions despite the fact that they are intended to say something "truthful" about phenomena. I argue that the representational relationship is constituted by model users "agreeing" on the function of a model, on the fit with data (...) and on the aspects of a phenomenon that are modelled. Model users weigh the propositions entailed by a model and from this decide which of these propositions are crucial to the acceptance and continued use of the model. Thus, models represent phenomena when certain propositions they entail are true, but this alone does not exhaust the representational relationship. Therefore, the constraints that produce the choice of the relevant propositions in a model must also be examined and their analysis contributes to understanding the relationship between models and phenomena. (shrink)

Several case studies and theoretical reports indicate that the structuralist concept of a constraint has a central role in the reconstruction of physical theories. It is surprising that there is, in the literature, only little theoretical discussion on the relevance of constraints for the reconstruction of social scientific theories. Almost all structuralist reconstructions of social theorizing are vacuously constrained. Consequently, constraints are methodologically irrelevant.In this paper I try to show that there really exist constraint-type assumptions in mathematical (...) modelling in the social sciences. Methodologically constraints have exactly the same role in the context of social mathematical modelling as they have in physical theories. In typical cases of mathematical modelling in the social sciences, the related constraints work as empirical hypotheses and should be tested by statistical means. (shrink)

The concept of developmental constraint was at the heart of developmental approaches to evolution of the 1980s. While this idea was widely used to criticize neo-Darwinian evolutionary theory, critique does not yield an alternative framework that offers evolutionary explanations. In current Evo-devo the concept of constraint is of minor importance, whereas notions as evolvability are at the center of attention. The latter clearly defines an explanatory agenda for evolutionary research, so that one could view the historical shift from ‘developmental constraint’ (...) towards ‘evolvability’ as the move from a concept that is a mere tool of criticism to a concept that establishes a positive explanatory project. However, by taking a look at how the concept of constraint was employed in the 1980s, I argue that developmental constraint was not just seen as restricting possibilities (‘constraining’), but also as facilitating morphological change in several ways. Accounting for macroevolutionary transformation and the origin of novel form was an aim of these developmental approaches to evolution. Thus, the concept of developmental constraint was part of a positive explanatory agenda long before the advent of Evo-devo as a genuine scientific discipline. In the 1980s, despite the lack of a clear disciplinary identity, this concept coordinated research among paleontologists, morphologists, and developmentally inclined evolutionary biologists. I discuss the different functions that scientific concepts can have, highlighting that instead of classifying or explaining natural phenomena, concepts such as ‘developmental constraint’ and ‘evolvability’ are more important in setting explanatory agendas so as to provide intellectual coherence to scientific approaches. The essay concludes with a puzzle about how to conceptually distinguish evolvability and selection. (shrink)

Generic propositions are statements that make general claims about ‘kinds’ that are found in a wide variety of written genres and speech. By definition, generics do not include in their structure any reference to the conditions under which they hold true. Their misuse in popular scientific writing, however, can erode the public’s confidence in the process of science itself when they discover that conclusions are highly contingent on certain truth conditions. The language used in scholarly scientific papers often (...) includes qualifiers and hedges, the epistemological consequences of which have been explored by Bruno Latour, Thomas Kuhn, Ian Hacking and others. Some research shows that abstracts, however, of-ten include generic statements that are not warranted by the scientific evidence described in the full text. Similarly, when accounts of scientific discoveries appear in popular media, journalists often remove qualifiers, hedges and context markers that existed in the original study. Studies in anthropology by Joseph Dumit, Annemarie Mol, Harris Solomon and others explore the human reactions to such pronouncements. One possible solution to the over-use of generics in scientific abstracts, especially for studies that rely on human subjects, is the inclusion of a mandatory section entitled “Constraints on Generality,” as suggested by Gutiérrez and Rogoff. Other suggestions include using less nominalized verbs and more past-tense descriptions of what actually occurred in the particular study. (shrink)

Part I -- Scientific Composition and the New Mechanism. - 1. Laura Franklin-Hall: New Mechanistic Explanation and the Need for Explanatory Constraints. - 2. Kenneth Aizawa: Compositional Explanation: Dimensioned Realization, New Mechanism, and Ground. - 3. Jens Harbecke: Is Mechanistic Constitution a Version of Material Constitution?. - 4. Derk Pereboom: Anti-Reductionism, Anti-Rationalism, and the Material Constitution of the Mental. Part II -- Grounding, Science, and Verticality in Nature. - 5. Jonathan Schaffer: Ground Rules: Lessons from Wilson. - 6. (...) Jessica Wilson: The Unity and Priority Arguments for Grounding. - 7. Carl Gillett: The Metaphysics of Nature, Science, and the Rules of Engagement. - 8. Andrew Melnyk: Grounding and the Formulation of Physicalism. - 9. Alyssa Ney: Grounding in the Philosophy of Mind: A Defense. (shrink)

Given that computers are not merely information-processors but rather representation-processors, who are the people most suited to dealing with representations of consciousness or the lack of it, once these consist in a computer? Who are the experts on irredundant holism when it comes to making sense of and manipulating these representations? Neither scientists nor philosophers, but rather artists, poets and so on. If this is the case it is not surprising that there already exists, in and out of the computational (...) domain, a body of knowledge about and evidence for the synthesis in an almost alchemical way of the scientific and philosophical (spiritual, one might almost say) approaches to consciousness. This presentation will examine aspects of zombie in both computer-based and traditional art, with several previously unknown examples of the use of zombie-like imagery in classical art leading to contemporary attempts to portray the nothing that being a zombie is like. Audience participation will be more or less obligatory. This document is really background notes to the above, pretending to be a paper. (shrink)

This article identifies and analyses issues related to defining and evaluating the so-called scientific imperialism. It discusses John Dupré's account, suggesting that it is overly conservative and does not offer a definition of scientific imperialism in not presenting it as a phenomenon of interdisciplinarity. It then discusses the recent account by Steve Clarke and Adrian Walsh, taking issue with ideas such as illegitimate occupation, counterfactual progress, and culturally significant values. A more comprehensive and refined framework of my own (...) is then summarized. It suggests types and aspects of scientific imperialism as a dynamic interdisciplinary relationship, distinguishing between imperialism of scope, style and standing, for example. It also suggests normative constraints on scientific imperialism. This enables us to distinguish, in principle, recommendable from non-recommendable kinds of it, while recognizing the difficulties involved in trying to do this in practice. (shrink)

In the last few years, conference programs and publications have begun to appear that reflect a growing interest, among North American archaeologists, in research initiatives that focus on women and gender as subjects of investigation. One of the central questions raised by these developments has to do with their "objectivity" and that of archaeology as a whole. To the extent that they are inspired by or aligned with explicitly political (feminist) commitments, the question arises of whether they do not themselves (...) represent an inherently partial and interest-specific standpoint, and whether their acceptance does not undermine the commitment to value neutrality and empirical rigor associated with scientific approaches to archaeology. I will argue that, in fact, a feminist perspective, among other critical, explicitly political perspectives, may well enhance the conceptual integrity and empirical adequacy of archaeological knowledge claims, where this is centrally a matter of deploying evidential constraints. (shrink)

Theoretical models are widely held as sources of knowledge of reality. Imagination is vital to their development and to the generation of plausible hypotheses about reality. But how can imagination, which is typically held to be completely free, effectively instruct us about reality? In this paper I argue that the key to answering this question is in constrained uses of imagination. More specifically, I identify make-believe as the right notion of imagination at work in modelling. I propose the first overarching (...) taxonomy of types of constraints on scientific imagination that enables knowledge of reality. And I identify two main kinds of knowledge enabled by models, knowledge of the imaginary scenario specified by models and knowledge of reality. (shrink)

A naturalistic impulse has taken speculative analytic metaphysics in its critical sights. Importantly, the claim that it is desirable or requisite to give metaphysics scientific moorings rests on underlying epistemological assumptions or principles. If the naturalistic impulse toward metaphysics is to be well-founded and its prescriptions to have normative force, those assumptions or principles should be spelled out and justified. In short, advocates of naturalized or scientific metaphysics require epistemic infrastructure. This paper begins to supply it. The author (...) first sketches her conception of suitably naturalized or scientific metaphysics. She then lays out a number of candidate epistemic principles centring around the notion of theoretical constraint. The author offers several arguments for the principles, based on statistical likeliness, agreement, falsity avoidance, and methodological efficiency and inefficiency. Finally, she shows how scientific metaphysics satisfies the epistemic principles and is therefore preferable to its traditional rivals. (shrink)

One component of a viable account of scientific inquiry is a defensible conception of scientific problems. This paper specifies some logical and conceptual requirements that an acceptable account of scientific problems must meet as well as indicating some features that a study of scientific inquiry indicates scientific problems have. On the basis of these requirements and features, three standard empiricist models of problems are examined and found wanting. Finally a constraint inclusion-model of scientific problems (...) is proposed. (shrink)

This paper provides an analysis of explanatory constraints and their role in scientific explanation. This analysis clarifies main characteristics of explanatory constraints, ways in which they differ from “standard” explanatory factors, and the unique roles they play in scientific explanation. While current philosophical work appreciates two main types of explanatory constraints, this paper suggests a new taxonomy: law-based constraints, mathematical constraints, and causal constraints. This classification helps capture unique features of constraint types, (...) the different roles they play in explanation, and it includes causal constraints, which are often overlooked in this literature. (shrink)

This paper outlines the methodological and empirical limitations of analysing the potential relationship between complex social phenomena such as democracy and inequality. It shows that the means to assess how they may be related is much more limited than recognised in the existing literature that is laden with contradictory hypotheses and findings. Better understanding our scientific limitations in studying this potential relationship is important for research and policy because many leading economists and other social scientists such as Acemoglu and (...) Robinson mistakenly claim to identify causal linkages between inequality and democracy but at times still inform policy. In contrast to the existing literature, the paper argues that ‘structural’ or ‘causal’ mechanisms that may potentially link the distribution of economic wealth and different political regimes will remain unknown given reasons such as their highly complex and idiosyncratic characteristics, fundamental econometric constraints and analysis at the macro-level. Neither new data sources, different analysed time periods nor new data analysis techniques can resolve this question and provide robust, general conclusions about this potential relationship across countries. Researchers are thus restricted to exploring rough correlations over specific time periods and geographic contexts with imperfect data that are very limited for cross-country comparisons. (shrink)

Historians and sociologists of psychiatry often claim that psychiatric diagnoses are discontinuous. That is, a particular diagnoses will be described in one way in one era and described quite differently in a different era. Historians and sociologists often draw epistemic consequences from such discontinuities, claiming that truth is pluralistic, provisional and historicised. These arguments do not readily fit in with how analytical philosophers of science approach scientific realism. I show how the pessimistic meta induction does not capture the point (...) which historians and sociologists are making but scientific perspectivism seems to capture their point much better. I then highlight conceptual innovations which scientific perspectivists add. They demarcate between truth and objective reality, they specify which type of truth they endorse and they put down constraints on possible truths. This blocks an anything goes relativism which historians and sociologists can be in danger of falling into. I highlight my argument by discussing a discontinuous episode in the history of autism. I discuss three aspects of this discontinuity and show how scientific perspectivism can portray each aspect as non-trivially true. My argument shows that we can be scientific realists about autism even if we can formulate notions of autism in quite different ways. (shrink)

This essay traces the history of early molecular dynamics simulations, specifically exploring the development of SHAKE, a constraint-based technique devised in 1976 by Jean-Paul Ryckaert, Giovanni Ciccotti and the late Herman Berendsen at CECAM (Centre Européen de Calcul Atomique et Moléculaire). The work of the three scientists proved to be instrumental in giving impetus to the MD simulation of complex polymer systems and it currently underpins the work of thousands of researchers worldwide who are engaged in computational physics, chemistry and (...) biology. Despite its impact and its role in bringing different scientific fields together, accurate historical studies on the birth of SHAKE are virtually absent. By collecting and elaborating on the accounts of Ryckaert and Ciccotti, this essay aims to fill this gap, while also commenting on the conceptual and computational difficulties faced by its developers. (shrink)

Recently, several scholars have argued that scientists can accept scientific claims in a collective process, and that the capacity of scientific groups to form joint acceptances is linked to a functional division of labor between the group members. However, these accounts reveal little about how the cognitive content of the jointly accepted claim is formed, and how group members depend on each other in this process. In this paper, I shall therefore argue that we need to link analyses (...) of joint acceptance with analyses of distributed cognition. To sketch how this can be done, I shall present a detailed case study, and on the basis of the case, analyze the process through which a group of scientists jointly accept a new scientific claim and at a later stage jointly accept to revise previously accepted claims. I shall argue that joint acceptance in science can be established in situations where an overall conceptual structure is jointly accepted by a group of scientists while detailed parts of it are distributed among group members with different areas of expertise, a condition that I shall call a heterogeneous conceptual consensus. Finally, I shall show how a heterogeneous conceptual consensus can work as a constraint against scientific change and address the question how changes may nevertheless occur. (shrink)

This paper analyzes the historical context and systematic importance of Kant's hypothetical use of reason. It does so by investigating the role of hypotheses in Kant's philosophy of science. We first situate Kant’s account of hypotheses in the context of eighteenth-century German philosophy of science, focusing on the works of Wolff, Meier, and Crusius. We contrast different conceptions of hypotheses of these authors and elucidate the different theories of probability informing them. We then adopt a more systematic perspective to discuss (...) Kant's idea that scientific hypotheses must articulate real possibilities. We argue that Kant's views on the intelligibility of scientific hypotheses constitute a valuable perspective on scientific understanding and the constraints it imposes on scientific rationality. (shrink)

Recently two pairs of authors have aimed to vindicate the longstanding "orthodox" or conventional claim that a first-class constraint generates a gauge transformation in typical gauge theories such as electromagnetism, Yang-Mills and General Relativity, in response to the Lagrangian-equivalent reforming tradition, in particular Pitts, _Annals of Physics_ 2014. Both pairs emphasize the coherence of the extended Hamiltonian formalism against what they take to be core ideas in Pitts 2014, but both overlook Pitts 2014's sensitivity to ways that one might rescue (...) the claim in question, including an additive redefinition of the electrostatic potential. Hence the bulk of the paper is best interpreted as arguing that the longstanding claim about separate first-class constraints is _either false or trivial_---de-Ockhamization (using more when less suffices by splitting one quantity into the sum of two) being trivial. Unfortunately section 9 of Pitts 2014, a primarily verbal argument that plays no role in other works, is refuted. Pooley and Wallace's inverse Legendre transformation to de-Ockhamized electromagnetism with an additively redefined electrostatic potential, however, opens the door to a precisely analogous calculation introducing a photon mass, which shows that a _second-class primary_ constraint generates a 'gauge transformation' in the exactly same sense---a _reductio ad absurdum_ of the orthodox claim that a first-class constraint generates a gauge transformation _and a second-class constraint does not_. A _reductio_ using massive electromagnetism was presaged in Pitts 2014. Gauge freedom by de-Ockhamization does not require any constraints at all, first-class or second-class, because any dynamical variable in any Lagrangian can be de-Ockhamized into exhibiting trivial additive artificial gauge freedom by splitting one quantity into the sum of two. Physically interesting gauge freedom, however, is typically generated by a tuned sum of first-class constraints, not each first-class constraint alone. (shrink)

Representation of scientific knowledge in ontologies suffers so often from the lack of computational knowledge required for inference. This article aims to perform quantitative analysis on physical systems, that is, to answer questions about values of quantitative state variables of a physical system with known structure. For this objective, we incorporate procedural knowledge on two distinct levels. At the domain-specific level, we propose a representation model for scientific knowledge, i.e. variables, theories, and laws of nature. At the domain-independent (...) level, we provide an algorithm which, given a system S with known structure and a relevant scientific theory T, extracts a constraint network, whose variables are state variables of S defined by T, and whose constraints raise from relevant laws in T. The constraint network is then solved, to build a system of equations whose unknowns are the output variables of S. The proposed representation model and reasoning algorithm are evaluated by applying them to classic analysis examples. (shrink)

This article explores the question of how scientific uncertainty can be managed in medical decision making using the Advisory Committee on Immunization Practices as a case study. It concludes that where a high degree of technical consensus exists about the evidence and data, decision makers act according to a clear decision rule. If a high degree of technical consensus does not exist and uncertainty abounds, the decision will be based on a variety of criteria, including readily available resources, decision-process (...) constraints, and the available knowledge base, among other things. Decision makers employ a variety of heuristic devices and techniques, thereby employing a pragmatic approach to uncertainty in medical decision making. The article concludes with recommendations for managing scientific uncertainty in medical decision making. (shrink)

A pervasive feature of the sciences, particularly the applied sciences, is an experimental focus on a few (often only one) possible causal connections. At the same time, scientists often advance and apply relatively broad models that incorporate many different causal mechanisms. We are naturally led to ask whether there are normative rules for integrating multiple local experimental conclusions into models covering many additional variables. In this paper, we provide a positive answer to this question by developing several inference rules that (...) use local causal models to place constraints on the integrated model, given quite general assumptions. We also demonstrate the practical value of these rules by applying them to a case study from ecology. Experimental scope in applied sciences Fusing the results of experiments A concrete example of the inference rules Application to a case study. (shrink)

Analysis of the social-cognitive substrate of scientific activity reveals that much of science functions in an inauthentic mode whereby a materialist world view constrains the authentic practice of science. But materialism cannot explain matter, as evidenced by empirical data concerning the nature of physical manifestation. Nor, then, should materialism be the basis for our interpretation of consciousness. It is time to move beyond scientific materialism and develop transcendent theories of consciousness. Such theories should minimally meet the following criteria: (...) they should be based on all of the usual empirical data concerning consciousness, including altered states of consciousness; they should take into account data about anomalous phenomena and transcendent states of consciousness; they should address the issue of existential meaning and provide soteriological guidance; and they should be consistent with the most accurate theories of physical manifestation, such as relativistic quantum field theories. Speculating within a quantum-theoretic context, consciousness could be inserted as a primitive element into reality by providing a role for intention in the selection process of observables, the collapse of the state vector, or the ordering of quantum fluctuations. But consciousness could be more fundamental, in the sense of a deep consciousness coinciding with a pre-physical substrate, from which intention shapes both mental experience and physical manifestation. If any significance can be attached to the mathematical formalism of relativistic quantum field theories, perhaps creation and annihilation operators, which determine the fluctuations of a quantum field, can metaphorically be regarded as the avenue through which intention acts. Morphic fields within the pre-physical substrate could hold in place patterns that shape the reality that we experience. Among such morphic fields could be ones that correspond to the world view of scientism. By becoming authentic, one could break from such constraints and consider alternative possibilities that can include various forms of radical transformation. (shrink)

Scientific articles exemplify standard functional units constraining argumentative structures. Severe space limitations demand every paragraph and illustration contribute to establishing the paper's claims. Philosophical testing and confirmation models should take into account each paragraph, table, and illustration. Hypothetico-Deductive, Bayesian Inductive, and Inference-to-the-Best-Explanation models do not, garbling the logic of papers. Micro-analysis of the fundamental paper in plate tectonics reveals an argumentative structure commonplace in science but ignored by standard philosophical accounts that cannot be dismissed as mere rhetorical embellishment. Papers (...) with illustrations often display a second argumentative structure differing from the text's. Constraints on adequate testing and confirmation analyses are adduced. "Experiments are about the assembly of persuasive arguments, ones that will stand up in court.... The task at hand is to capture the building-up of a persuasive argument about the world even in the absence of the logician's certainty." --Galison, How Experiments End, 277. (shrink)