Philosophers from Plato and Augustine to Heidegger, Nozick, and Baudrillard have warned us of the dangers of living on too heavy a diet of illusion and make-believe. But contemporary cultural life provides broader, more attractive opportunities to do so than have existed at any other point in history. The gentle forms of self-deceit that such experiences require of us, and that so many have regarded as ethically unwholesome or psychologically self-destructive, can in fact serve as vital means to political (...) reconciliation, cultural enrichment, and even (a kind of) utopia. -/- The first half of the book provides a highly schematic definition of simulated experience and compares it with some claims about the nature of simulation made by other philosophers about what it is for one thing to be a simulation of another. The author then provides a critical survey of the views of some major authors about the value of certain specific types of simulated experience, mainly in order to point out the many puzzling inconsistencies and ambiguities that their thoughts upon the topic often exhibit. In the second half of the book, the author defends an account of the positive social value of simulated experience and compares his own position to the ideas of a number of utopian political thinkers, as well as to Plato's famous doctrine of the "noble lie." He then makes some tentative practical suggestions about how a proper appreciation of the value of simulated experience might influence public policy decisions about such matters as the justification of taxation, paternalistic "choice management," and governmental transparency. (shrink)

Simulation models of the Reiterated Prisoner's Dilemma have been popular for studying the evolution of cooperation since more than 30 years now. However, there have been practically no successful instances of empirical application of any of these models. At the same time this lack of empirical testing and confirmation has almost entirely been ignored by the modelers community. In this paper, I examine some of the typical narratives and standard arguments with which these models are justified by their authors (...) despite the lack of empirical validation. I find that most of the narratives and arguments are not at all compelling. None the less they seem to serve an important function in keeping the simulation business running despite its empirical shortcomings. (shrink)

Simulation models of the Reiterated Prisoner's Dilemma have been popular for studying the evolution of cooperation since more than 30 years now. However, there have been practically no successful instances of empirical application of any of these models. At the same time this lack of empirical testing and confirmation has almost entirely been ignored by the modelers community. In this paper, I examine some of the typical narratives and standard arguments with which these models are justified by their authors (...) despite the lack of empirical validation. I find that most of the narratives and arguments are not at all compelling. None the less they seem to serve an important function in keeping the simulation business running despite its empirical shortcomings. (shrink)

This article interrogates the way/s in which rival schools studying hypnotism in late 19th-century France framed what counts as valid evidence for the purposes of science. Concern over the scientific reality of results is particularly situated in the notion of simulation (the faking of results); the respective approaches to simulation of the Salpêtrière and Nancy schools are analysed through close reading of key texts: Binet and Féré for the Salpêtrière, and Bernheim for Nancy. The article reveals a striking (...) divergence between their scientific frames, which helps account for the bitterness of the schools’ disputes. It then explores Bernheim’s construction of scientific authority in more detail, for insights into the messiness entailed by theorizing hypnotism in psychical terms, while also attempting to retain scientific legitimacy. Indicative of this messiness, it is argued, is the way in which Bernheim’s (apparently inconsistent) approach draws on multiple epistemic frames. (shrink)

Drawing on the critical theories of Jean Baudrillard, Cinema of Simulation performs close readings of key films to examine cinematic visions of mutational reality.

As part of an ongoing study of causal models in the history of science, a counterfactual scenario in the history of modern astronomy is explored with the aid of computer simulations. After the definition of “linking advance”, a possible world involving technological antecedence is described, branching out in 1510, in which the telescope is invented 70 years before its actual construction, at the time in which Fracastoro actually built the first prototelescope. By using the principle of the closest (...) possible world, we estimate that in this scenario the discovery of the elliptical orbit of Mars would by anticipated by only 28 years. The second part of the paper involves an estimate of the probability of the previous scenario, guided by the principle that the actual world is the mean and using computer simulations to create possible worlds in which the time spans between advances is varied according to a gamma distribution function. Taking into account the importance of the use of the diaphragm for the invention of the telescope, the probability that the telescope were built by 1538 for a branching time at 1510 is found to be smaller than 1%. The work shows that one of the important features of computational simulations in philosophy of science is to serve as a consistency check for the intuitions and speculations of the philosopher. (shrink)

Using four examples of models and computer simulations from the history of psychology, I discuss some of the methodological aspects involved in their construction and use, and I illustrate how the existence of a model can demonstrate the viability of a hypothesis that had previously been deemed impossible on a priori grounds. This shows a new way in which scientists can learn from models that extends the analysis of Morgan (1999), who has identified the construction and manipulation of models (...) as those phases in which learning from models takes place. (shrink)

In this volume, scientists, historians, and philosophers join to examine computer simulations in scientific practice. One central aim of the volume is to provide a multiperspective view on the topic. Therefore, the text includes philosophical studies on computer simulations, as well as case studies from simulation practice, and historical studies of the evolution of simulations as a research method.

In 1904, Norwegian physicist Vilhelm Bjerknes published what would become a landmark paper in the history of meteorology. In that paper, he proposed that daily weather forecasts could be made by calculating later states of the atmosphere from an earlier state using the laws of hydrodynamics and thermodynamics (Bjerknes 1904). He outlined a set of differential equations to be solved and advocated the development of graphical and numerical solution methods, since analytic solution was out of the question. Using these (...) theory-based equations to produce daily forecasts, however, turned out to be more difficult than anticipated. Graphical solution techniques had limited success, and a first attempt to use .. (shrink)

What is the significance of high-speed computation for the sciences? How far does it result in a practice of simulation which affects the sciences on a very basic level? To offer more historical context to these recurring questions, this paper revisits the roots of computer simulation in the development of the ENIAC computer and the Monte Carlo method. With the aim of identifying more clearly what really changed (or not) in the history of science in the 1940s (...) and 1950s due to the computer, I will emphasize the continuities with older practices and develop a two-fold argument. Firstly, one can find a diversity of practices around ENIAC which tends to be ignored if one focuses only on the ENIAC itself as the originator of Monte Carlo simulation. Following from this, I claim, secondly, that there was no simulation around ENIAC. Not only is the term ‘simulation’ not used within that context, but the analysis also shows how ‘simulation’ is an effect of three interrelated sets of different practices around the machine: (1) the mathematics which the ENIAC users employed and developed, (2) the programs, (3) the physicality of the machine. I conclude that, in the context discussed, the most important shifts in practice are about rethinking existing computational methods. This was done in view of adapting them to the high-speed and programmability of the new machine. Simulation then is but one facet of this process of adaptation, singled out by posterity to be viewed as its principal aspect. (shrink)

This paper explores the case of using robots to simulate evolution, in particular the case of Hamilton’s Law. The uses of robots raises several questions that this paper seeks to address. The first concerns the role of the robots in biological research: do they simulate something or do they participate in something? The second question concerns the physicality of the robots: what difference does embodiment make to the role of the robot in these experiments. Thirdly, how do life, embodiment and (...) social behavior relate in contemporary biology and why is it possible for robots to illuminate this relation? These questions are provoked by a strange similarity that has not been noted before: between the problem of simulation in philosophy of science, and Deleuze’s reading of Plato on the relationship of ideas, copies and simulacra. (shrink)

In the 1990s, Building Information Modeling (BIM) software significantly altered architectural approaches to planning and building. Based on parametric methods, BIM technologies sought to simulate the construction process prior to a building’s realisation. These computer simulations challenged the existing practice of representing a building through plan, section and elevation, proposing that one computational model could create a more efficient way of building. The history of BIM explorations and applications, while hardly linear, can be traced back to developments in computing (...) since the post-war period. This article maps some of these histories by examining how the computational model became an organisational infrastructure, collecting data about design and building parameters, and facilitating knowledge transfer across industries. Special attention will be given to the foundational role of Charles Eastman’s work on a Building Description System (BDS) in the 1970s, as well as Robert Aish’s contribution to RUCAPS, one of the earliest applications of Building Modeling for the design of parametric structures. I will further address research on interface technologies and computational curve modelling as well as the popularisation of Building Information systems through the office of Gehry Partners. By highlighting the interrelated nature of technology and cultural shifts in the making of BIM, this contribution sheds light on the epistemic status of computer simulations in architecture, and the dynamics of the design and building processes in which they are used. (shrink)

This essay concerns the place of e-sport in the history of sport. E-sport is construed as an entity in this corpus, by seeking out historical counterparts that display similar forms of play and organisation. Thus, ancient Roman games are identified as an early instance of what could be called public gaming, i.e. competitive digital games in a public setting. Two recent philosophical statements regarding the history of sport furnish the point of departure of the analysis: Steven Connor's historicising (...) of the term sport, and Heather Reid's treatise of virtue in the games and athletics of antiquity. The varying content of sport in its course through time is discussed foremost in relation to how the human and nonhuman elements have been organised. In order to settle the role of public gaming in the history of sport, two aspects of Roman games are highlighted to 'fabricate' its legacy in the history of e-sport: Pollice Verso and simulations. It is concluded that the way Roman games ha... (shrink)

Computer simulation (CS) and thought experiments (TE) seem to produce knowledge about the world without intervening in the world. This has called for a comparison between the two methods. However, Chandrasekharan et al. (2013) argue that the nature of contemporary science is too complex for using TEs. They suggest CS as the tool for contemporary sciences and conclude that it will replace TEs. In this paper, by discussing a few TEs from the history of science, I show that (...) the replacement thesis about TE is a failure. The paper is divided into three sections. The first section discusses the arguments of Chandrasekharan et al. (2013) and demonstrates the three distinct aspects of the replacement thesis. The second section examines the argument against TE and shows that they are inadequate to prove the withering of TE from science. The third section discusses Albert Einstein’s Magnet and Conductor TE and demonstrates that replacing such TE with CS yield no advantage. (shrink)

This unique volume introduces and discusses the methods of validating computer simulations in scientific research. The core concepts, strategies, and techniques of validation are explained by an international team of pre-eminent authorities, drawing on expertise from various fields ranging from engineering and the physical sciences to the social sciences and history. The work also offers new and original philosophical perspectives on the validation of simulations. Topics and features: introduces the fundamental concepts and principles related to the validation of computer (...) simulations, and examines philosophical frameworks for thinking about validation; provides an overview of the various strategies and techniques available for validating simulations, as well as the preparatory steps that have to be taken prior to validation; describes commonly used reference points and mathematical frameworks applicable to simulation validation; reviews the legal prescriptions, and the administrative and procedural activities related to simulation validation; presents examples of best practice that demonstrate how methods of validation are applied in various disciplines and with different types of simulation models; covers important practical challenges faced by simulation scientists when applying validation methods and techniques; offers a selection of general philosophical reflections that explore the significance of validation from a broader perspective. This truly interdisciplinary handbook will appeal to a broad audience, from professional scientists spanning all natural and social sciences, to young scholars new to research with computer simulations. Philosophers of science, and methodologists seeking to increase their understanding of simulation validation, will also find much to benefit from in the text. (shrink)

The now classical idea that programmed cell death contributes to a plethora of developmental processes still has lost nothing of its impact. It is, therefore, important to establish effective three-dimensional reconstruction as well as simulation techniques to decipher the exact patterns and functions of such apoptotic events. The present study focuses on the question whether and how apoptosis promotes neurulation-associated processes in the spinal cord of Tupaia belangeri. Our 3D reconstructions demonstrate that at least two craniocaudal waves of apoptosis (...) consecutively pass through the dorsal spinal cord. The first wave appears to be involved in neural fold fusion and/or in selection processes among premigratory neural crest cells. The second one seems to assist in establishing the dorsal signaling center known as the roof plate. In the hindbrain, in contrast, apoptosis among premigratory neural crest cells progresses craniocaudally but discontinuously, in a segment-specific manner. Unlike apoptosis in the spinal cord, these segment-specific apoptotic events, however, precede later ones that seemingly support neural fold fusion and/or postfusion remodeling. Arguing with Whitehead that biological patterns and rhythms differ in that biological rhythms depend “upon the differences involved in each exhibition of the pattern” we show that 3D reconstruction and simulation techniques can contribute to distinguish between patterns and rhythms of apoptosis. By deciphering novel patterns and rhythms of developmental apoptosis, our reconstructions help to reconcile seemingly inconsistent earlier findings in chick and mouse embryos, and to create rules for computer simulations. (shrink)

"Der Aufsatz plädiert dafür, die Geschichte der wissenschaftlichen Computersimulation auf eine spezifisch medienhistorische Weise zu untersuchen. Nach einigen Vorschlägen zur Charakterisierung der Besonderheiten von Computersimulationen werden zwei Beispiele interpretiert (Management-Simulationen der 1960er und verkehrstechnische bzw. epidemiologische Simulationen der 1990er). Daraus leiten sich Fragen nach dem veränderten Status wissenschaftlichen Wissens, nach der Genese wissenschaftstheoretischer Konzepte und nach wissenschaftskritischen Optionen ab. The paper suggests to analyze the history of scientific computer simulations with respect to the history of media. After presenting (...) some ideas concerning the peculiarities of computer simulation, two examples (management simulations of the 1960s; traffic-related and epistemological simulations of the 1990s) are interpreted. From them, further questions concerning the status of scientific knowledge, the genesis of epistemological concepts and their critique are derived. ". (shrink)

This paper examines several issues related to information, speed of computation, and simulation of a physical process. It is argued that mental processes proceed at a rate close to the optimal based on thermodynamic considerations. Problems related to the simulation of a quantum mechanical system on a computer are reviewed. Parallels are drawn between biological and adaptive quantum systems.

The aim of this paper is to investigate the ascription of probabilities in a causal model of an episode in the history of science. The aim of such a quantitative approach is to allow the implementation of the causal model in a computer, to run simulations. As an example, we look at the beginning of the science of magnetism, “explaining” — in a probabilistic way, in terms of a single causal model — why the field advanced in China but (...) not in Europe (the difference is due to different prior probabilities of certain cultural manifestations). Given the number of years between the occurrences of two causally connected advances X and Y, one proposes a criterion for stipulating the value pY/X of the conditional probability of an advance Y occurring, given X. Next, one must assume a specific form for the cumulative probability function pY/X(t), which we take to be the time integral of an exponential distribution function, as is done in physics of radioactive decay. Rules for calculating the cumulative functions for more than two events are mentioned, involving composition, disjunction and conjunction of causes. We also consider the problems involved in supposing that the appearance of events in time follows an exponential distribution, which are a consequence of the fact that a composition of causes does not follow an exponential distribution, but a “hypoexponential” one. We suggest that a gamma distribution function might more adequately represent the appearance of advances. (shrink)

This book analyses the impact computerization has had on contemporary science and explains the origins, technical nature and epistemological consequences of the current decisive interplay between technology and science: an intertwining of formalism, computation, data acquisition, data and visualization and how these factors have led to the spread of simulation models since the 1950s. -/- Using historical, comparative and interpretative case studies from a range of disciplines, with a particular emphasis on the case of plant studies, the author shows (...) how and why computers, data treatment devices and programming languages have occasioned a gradual but irresistible and massive shift from mathematical models to computer simulations. -/- . (shrink)

Mankind’s research on marketing has a history of hundreds of years, and it has been fruitful in continuous summary and research. Now the theory of marketing has gradually penetrated into the minds of every company and even individual. A successful marketing strategy is the inevitable result of scientific planning and effective implementation. However, the current marketing strategy has gradually failed to meet the needs of corporates. In order to find the best solution for corporate marketing strategy, we built a (...) simulation environment based on mobile computing and machine learning and compared the differences by simulating several companies of the same size in this city. The results of the study found that intelligent marketing based on machine learning is more suitable for enterprises than general marketing strategies. The efficiency of enterprises has increased by about 20%, and the income of enterprises has increased by more than 30% compared with traditional marketing strategies. This shows that the intelligent marketing strategy based on mobile computing and machine learning to build a simulated environment plays an extremely important role in the peculiarities. (shrink)

In an attempt to determine the epistemic status of computer simulation results, philosophers of science have recently explored the similarities and differences between computer simulations and experiments. One question that arises is whether and, if so, when, simulation results constitute novel empirical data. It is often supposed that computer simulation results could never be empirical or novel because simulations never interact with their targets, and cannot go beyond their programming. This paper argues against this position by examining (...) whether, and under what conditions, the features of empiricality and novelty could be displayed by computer simulation data. I show that, to the extent that certain familiar measurement results have these features, so can some computer simulation results. (shrink)

In this article I will challenge a received orthodoxy in the philosophy of social science by showing that Collingwood was right in insisting that reenactment is epistemically central for historical explanations of individual agency. Situating Collingwood within the context of the debate between simulation theory and what has come to be called “theory theory” in contemporary philosophy of mind and psychology, I will develop two systematic arguments that attempt to show the essential importance of reenactment for our understanding of (...) rational agency. I will furthermore show that Gadamer’s influential critique of the reenactment model distinguishes insufficiently between the interpretation of certain types of texts and the explanation of individual actions. In providing an account of individual agency, we are committed to a realistic understanding of our ordinary scheme of actionexplanations and have thus to recognize the centrality of reenactment. Nevertheless, Collingwood’s emphasis on reenactment is certainly one-sided. I will demonstrate its limitations even for accounting for individual agency, and show how it has to be supplemented by various theoretical considerations, by analyzing the different explanatory strategies that Christopher Browning and Daniel Goldhagen use to explain the behavior of the ordinary men in Reserve Battalion 101 during World War II. (shrink)

This book provides a philosophical framework to understand computer simulations as scientific instruments. This is in sharp contrast to existing philosophical approaches on the subject, which have historically understood computer simulations as either formal abstractions or as broadly construed empirical practices. In order to make its case, the volume contains a thorough examination of conventional philosophical approaches as well as their respective limitations. Yet, also, unlike other accounts of computer simulations from the perspective of the philosophy of science, this book (...) incorporates insights from the philosophy of technology and the history of science. Hence, the book offers philosophers of science, technologists and other researchers interested in the topic, a thorough overview of the philosophical issues regarding the design, development and deployment of computer simulations in science and science-based policy making. (shrink)

Now available in English for the first time, The Visibility of the Image explores the development of an influential aesthetic tradition through the work of six figures. Analysing their contribution to the progress of formal aesthetics, from its origins in Germany in the 1880s to semiotic interpretations in America a century later, the six chapters cover: Robert Zimmermann (1824-1898), the first to separate aesthetics and metaphysics and approach aesthetics along the lines of formal logic, providing a purely syntactic way of (...) using signs, regardless of objective content; Alois Riegl (1858-1905), who went on to further develop aesthetics on the model of formal logic, creating a theory of style in response to Zimmermann's call for an aesthetics oriented toward formal logic; Heinrich Wölfflin (1864-1945), who represents a step toward an understanding of consciousness by using pictures as cognitive tools; Konrad Fiedler (1841-1895), the Saxon philosopher who considered the possibility that some kinds of images are made and viewed not for what they show, but for their visibility's sake alone; Maurice Merleau-Ponty (1908-1961), responsible for taking up the connections between the problems of reducing the range of potential meanings and contexts of a given image down to just the picture surface; Charles William Morris (1901-1979), who set out to establish whether a picture with no objective reference, such as an abstract painting, still counts as a sign, and if so, in what sense. Bringing these thinkers together and interlinking their ideas, Lambert Wiesing presents an engaging history of formal aesthetics, while reconstructing the philosophical foundations for the appearance of new image forms in the 20th century, including the video-clip, abstract collage, digital simulation and virtual reality. Using this original approach, The Visibility of the Image introduces the rise of modern image theory and provides a valuable account of our engagement with pictures in the 21st century. (shrink)

Where should computer simulations be located on the ‘usual methodological map’ which distinguishes experiment from theory? Specifically, do simulations ultimately qualify as experiments or as thought experiments? Ever since Galison raised that question, a passionate debate has developed, pushing many issues to the forefront of discussions concerning the epistemology and methodology of computer simulation. This review article illuminates the positions in that debate, evaluates the discourse and gives an outlook on questions that have not yet been addressed.

The paper deals with an intellectual and historical approach to the changing meanings of the term “model” in life sciences. The author 1st tries to understand how modeling has gradually spread over life sciences then he particularly focus on the birth of mathematical modeling in this field. This quite new practice offers new insights on the old debate concerning the mathematization of life sciences. Nowadays, through computers, mathematics not only analyze or quantify but model things: what does it mean? The (...) question turns out to be dramatic as far as digital simulation is concerned. That is the reason why he choosed to study a particular case: the history of the individual plant mathematical modeling. On this case, one may discern various epistemological standpoints that caused various reactions to the emergence of computer simulation, from the 50s to the 90s. The author shows that philosophical views often play a role in the history of sciences, especially in the choice of supposed proper mathematical formalisms. This will indicate that contemporary discourses tend to echo each other. That is the reason why he feels authorized to address the Foucault’s concept—épistémè—to denote these convergences between the scientific and the philosophical discourses. Finally, it is suggested that this épistémè gradually is changing because one can currently observe the emergence of a “graphical” thought through these simulation experiments, which tends to replace a more functionalist thought. (shrink)

Baudrillard's bewildering thesis, a bold extrapolation on Ferdinand de Saussure's general theory of general linguistics, is in fact a clinical vision of contemporary consumer societies where signs don't refer anymore to anything except themselves. They all are generated by the matrix. Simulations never existed as a book before it was "translated" into English. Actually it came from two different bookCovers written at different times by Jean Baudrillard. The first part of Simulations, and most provocative because it made a fiction of (...) theory, was "The Procession of Simulacra." It had first been published in Simulacre et Simulations. The second part, written much earlier and in a more academic mode, came from L'Echange Symbolique et la Mort. It was a half-earnest, half-parodical attempt to "historicize" his own conceit by providing it with some kind of genealogy of the three orders of appearance: the Counterfeit attached to the classical period; Production for the industrial era; and Simulation, controlled by the code. It was Baudrillard's version of Foucault's Order of Things and his ironical commentary of the history of truth. The book opens on a quote from Ecclesiastes asserting flatly that "the simulacrum is true." It was certainly true in Baudrillard's book, but otherwise apocryphal.One of the most influential essays of the 20th century, Simulations was put together in 1983 in order to be published as the first little black book of Semiotext's new Foreign Agents Series. Baudrillard's bewildering thesis, a bold extrapolation on Ferdinand de Saussure's general theory of general linguistics, was in fact a clinical vision of contemporary consumer societies where signs don't refer anymore to anything except themselves. They all are generated by the matrix.In effect Baudrillard's essay was upholding the only reality there was in a world that keeps hiding the fact that it has none. Simulacrum is its own pure simulacrum and the simulacrum is true. In his celebrated analysis of Disneyland, Baudrillard demonstrates that its childish imaginary is neither true nor false, it is there to make us believe that the rest of America is real, when in fact America is a Disneyland. It is of the order of the hyper-real and of simulation. Few people at the time realized that Baudrillard's simulacrum itself wasn't a thing, but a "deterrence machine," just like Disneyland, meant to reveal the fact that the real is no longer real and illusion no longer possible. But the more impossible the illusion of reality becomes, the more impossible it is to separate true from false and the real from its artificial resurrection, the more panic-stricken the production of the real is. (shrink)

Enculturation is known to shape the perception of meter in music but this is not explicitly accounted for by current cognitive models of meter perception. We hypothesize that meter perception is a strategy for increasing the predictability of rhythmic patterns and that the way in which it is shaped by the cultural environment can be understood in terms of probabilistic predictive coding. Based on this hypothesis, we present a probabilistic model of meter perception that uses statistical properties of the relation (...) between rhythm and meter to infer meter from quantized rhythms. We show that our model can successfully predict annotated time signatures from quantized rhythmic patterns derived from folk melodies. Furthermore, we show that by inferring meter, our model can better predict the onsets of future events than a similar probabilistic model that does not infer meter. Finally, we demonstrate how our model can be used in a proof-of-concept simulation of enculturation. From this simulation, we derive a class of rhythms that are likely to be interpreted differently by enculturated listeners with different histories of exposure to rhythms. (shrink)

Computer simulations are involved in numerous branches of modern science, and science would not be the same without them. Yet the question of how they can explain real-world processes remains an issue of considerable debate. In this context, a range of authors have highlighted the inferences back to the world that computer simulations allow us to draw. I will first characterize the precise relation between computer and target of a simulation that allows us to draw such inferences. I then (...) argue that in a range of scientifically interesting cases they are particular abductions and defend this claim by appeal to two case studies. (shrink)

In this paper we investigate intergroup conflict and examine the impact of strategies to manage and hopefully reduce it. To do this, we use a probabilistic computer simulation model, based on feedback principles. The model examines how conflict between two groups evolves over time. Group differences and the occurrence of intergroup incidents drive the model. Intergroup hostility which depends on past history, recent conflict incidents, and group differences is the key variable that indicates the proclivity toward conflict between (...) the two groups. We use the model to examine various cases and the effect of conflict management strategies. Based on the model results, we develop some conclusions about the applicability of the findings to actual situations, as well as directions for further research. (shrink)

Simulations never existed as a book before it was "translated" into English. Actually it came from two different bookCovers written at different times by Jean Baudrillard. The first part of Simulations, and most provocative because it made a fiction of theory, was "The Procession of Simulacra." It had first been published in Simulacre et Simulations. The second part, written much earlier and in a more academic mode, came from L'Echange Symbolique et la Mort. It was a half-earnest, half-parodical attempt to (...) "historicize" his own conceit by providing it with some kind of genealogy of the three orders of appearance: the Counterfeit attached to the classical period; Production for the industrial era; and Simulation, controlled by the code. It was Baudrillard's version of Foucault's Order of Things and his ironical commentary of the history of truth. The book opens on a quote from Ecclesiastes asserting flatly that "the simulacrum is true." It was certainly true in Baudrillard's book, but otherwise apocryphal.One of the most influential essays of the 20th century, Simulations was put together in 1983 in order to be published as the first little black book of Semiotext's new Foreign Agents Series. Baudrillard's bewildering thesis, a bold extrapolation on Ferdinand de Saussure's general theory of general linguistics, was in fact a clinical vision of contemporary consumer societies where signs don't refer anymore to anything except themselves. They all are generated by the matrix.In effect Baudrillard's essay was upholding the only reality there was in a world that keeps hiding the fact that it has none. Simulacrum is its own pure simulacrum and the simulacrum is true. In his celebrated analysis of Disneyland, Baudrillard demonstrates that its childish imaginary is neither true nor false, it is there to make us believe that the rest of America is real, when in fact America is a Disneyland. It is of the order of the hyper-real and of simulation. Few people at the time realized that Baudrillard's simulacrum itself wasn't a thing, but a "deterrence machine," just like Disneyland, meant to reveal the fact that the real is no longer real and illusion no longer possible. But the more impossible the illusion of reality becomes, the more impossible it is to separate true from false and the real from its artificial resurrection, the more panic-stricken the production of the real is. (shrink)

The question of where, between theory and experiment, computer simulations (CSs) locate on the methodological map is one of the central questions in the epistemology of simulation (cf. Saam Journal for General Philosophy of Science, 48, 293–309, 2017). The two extremes on the map have them either be a kind of experiment in their own right (e.g. Barberousse et al. Synthese, 169, 557–574, 2009; Morgan 2002, 2003, Journal of Economic Methodology, 12(2), 317–329, 2005; Morrison Philosophical Studies, 143, 33–57, 2009; (...) Morrison 2015; Massimi and Bhimji Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 51, 71–81, 2015; Parker Synthese, 169, 483–496, 2009) or just an argument executed with the aid of a computer (e.g. Beisbart European Journal for Philosophy of Science, 2, 395–434, 2012; Beisbart and Norton International Studies in the Philosophy of Science, 26, 403–422, 2012). There exist multiple versions of the first kind of position, whereas the latter is rather unified. I will argue that, while many claims about the ‘experimental’ status of CSs seem unjustified, there is a variant of the first position that seems preferable. In particular I will argue that while CSs respect the logic of (deductively valid) arguments, they neither agree with their pragmatics nor their epistemology. I will then lay out in what sense CSs can fruitfully be seen as experiments, and what features set them apart from traditional experiments nonetheless. I conclude that they should be seen as surrogate experiments, i.e. experiments executed consciously on the wrong kind of system, but with an exploitable connection to the system of interest. Finally, I contrast my view with that of Beisbart (European Journal for Philosophy of Science, 8, 171–204, 2018), according to which CSs are surrogates for experiments, arguing that this introduces an arbitrary split between CSs and other kinds of simulations. (shrink)

The article examines the doctrine of thing in the “Metaphysics” created in the early 1330s by an original Franciscan theologian and philosopher Nicholas Bonetus. The article points to the historical-philosophical significance of this work. In the scholastic tradition, Bonetus’s “Metaphysics’ is argued to be one of the first large and independent treatises on metaphysics, i.e. it is not related to the tradition of commenting on Aristotle. It is also the first treatise in the history of philosophy under the title (...) “Metaphysics”, named so by the author himself. First, we present the biography of the author of the treatise and briefly characterize the structure of his four-part “Opus philosophicum”, as well as emphasize the importance of the division between metaphysics and natural theology, for the first time in the history of the scholastic tradition not only declared as a project, but also im­plemented by Bonetus. Secondly, we examine the place that book III of the “Meta­physics” occupies in Bonetus’s entire metaphysical treatise, and determine the two main themes of this book: the doctrine of res and the doctrine on distinctions and identities. Thirdly, through the analysis of the Ist and IIIrd books of “Metaphysics” we demonstrate the connection, opposition and partial coincidence of two fundamental concepts of Bone­tus's metaphysics: the concept of being as being and the concept of thing. Additionally, the leading meaning of the concept of a thing as a simul totum, that is, a single “consti­tuted whole” from metaphysical elements (formalities, quidditative and individual differ­encies, intrinsic modes, properties), is clarified. Finally, we analyze the relationship be­tween the doctrine of res and the doctrine on distinctions in Bonetus and explain how the doctrine of real and formal distinction and identity is subordinated to the goal of ana­lytics of the metaphysical “constitution of res” and is built into the treatise on the thing. This, in turn, allows us to conclude that the main difference between the “formalist trea­tise” on distinctions and identities (and this is exactly how the content of the IIIrd book of Bonetus’s “Metaphysics” was perceived in the subsequent Scotist tradition), in com­parison with the corresponding treatises of Francis of Meyronnes and Peter Thomae, is precisely the role of the ontological concept of a thing as a “metaphysical whole” or in­dividual in Bonetus that determines his understanding of “formalities”. (shrink)

Each Site Specific is always and above all Time Specific, that is marked by Time and by the times from which it is generated, defined and set in a place. Space is a significant environment a work that works in the Work that re-means, in its transformation, the very connotations of performing action. To contain the never-ending process of meaning to which such a work would be subjected, it will be Time: that granitic categorial essence that philosophy, together with Space, (...) indicates as fundamental for any cognitive and speculative exercise. Moreover such an artifact, incorporating History and stories, re-reads – making them readable – living testimonies that animate the place of existence of subjects and objects that last the relative time of their existence, in an attempt to make them and itself eternal. As if the work could take charge of the task of triggering the memorative (making memory) device of the Real, a mysterious aesthetic mechanism that interfaces subjects and objects in the common project to adapt, know and make the world – which is more than the Real, imbued as it is of significant connections and correlations. The object work of art in its positioning (making room) in a place, invites the subject –through an imaginative pact – to signify the world through a simulation of sight that allows Man to pre-see his own possibility of existence before the unknown the real proposes him, responding to his personal S.o.S. he sends daily, threatened by the indecipherable fear of sinking in the unknown. (shrink)

The importation of computational methods into biology is generating novel methodological strategies for managing complexity which philosophers are only just starting to explore and elaborate. This paper aims to enrich our understanding of methodology in integrative systems biology, which is developing novel epistemic and cognitive strategies for managing complex problem-solving tasks. We illustrate this through developing a case study of a bimodal researcher from our ethnographic investigation of two systems biology research labs. The researcher constructed models of metabolic and cell-signaling (...) pathways by conducting her own wet-lab experimentation while building simulation models. We show how this coupling of experiment and simulation enabled her to build and validate her models and also triangulate and localize errors and uncertainties in them. This method can be contrasted with the unimodal modeling strategy in systems biology which relies more on mathematical or algorithmic methods to reduce complexity. We discuss the relative affordances and limitations of these strategies, which represent distinct opinions in the field about how to handle the investigation of complex biological systems. (shrink)

The paper consists of a reflexive exercise in which Herbert Simon 's views concerning science are applied to his own research. It argues that what connected his ventures into so many different disciplinary domains was a search for complex, hierarchical systems. In the process, the paper establishes a close connection between Simon 's insights and his focus on simulation. Instead of simulating Simon on a computer, though, it simulates Simon on paper. This exercise is then contrasted with Simon 's (...) own attempts to simulate science. This comparison leads to a reflexive evaluation of Simon 's simulations. (shrink)

The philosophy of science community mourns the loss of Margaret Catherine Morrison, who passed away on January 9, 2021, after a long battle with cancer. Margie, as she was known to all who knew her, was highly regarded for her influential contributions to the philosophy of science, particularly her studies of the role of models and simulations in the natural and social sciences. These contributions made her a world-leading philosopher of science, instrumental in shifting philosophers' attention from the structure of (...) scientific theories to the practice of science. Her sophisticated studies of the function of models in scientific practice drew on detailed knowledge of the theories and experiments of physics as well as the history of physics. In emphasizing the autonomy of scientific models and their interventional character, her insights had some affinity with Cartwright's and Hacking’s views on phenomenological laws, entity realism, the instrumentalist interpretation of scientific theories, and the disunity of science. But Morrison’s approach was distinguished by the conviction that the existence of unobservable entities cannot be defended independently of the theories that support their evidence, and that scientific practice cannot be adequately understood without examining the reasons for theory unification. (shrink)

The paper consists of a reflexive exercise in which Herbert Simon's views concerning science are applied to his own research. It argues that what connected his ventures into so many different disciplinary domains was a search for complex, hierarchical systems. In the process, the paper establishes a close connection between Simon's insights and his focus on simulation. Instead of simulating Simon on a computer, though, it simulates Simon on paper. This exercise is then contrasted with Simon's own attempts to (...) simulate science. This comparison leads to a reflexive evaluation of Simon's simulations. (shrink)

This paper is concerned with the uses of history in science. It focuses in particular on Anglo-American genetics and on university textbooks—where the canon of a science is consolidated, as the heterogeneous approaches and controversies of its practice are rendered unified for its reproduction. Tracing the emergence and eventual standardization of geneticists’ use of a case-based method of teaching in the 1920s–1950s, this paper argues that geneticists created historical environments in their textbooks—spaces in which students developed an understanding of (...) the laws of genetics through simulations of their discovery and use. Witnessing the unfolding of Mendel’s and Morgan’s experiments and performing genetic crosses on paper, students learned not only the rules that were explicitly taught as such, but also the experientially-based, tacit skills needed to find and follow these rules. This didactic system taught them how to go on when confronting new situations, and in doing so, provided geneticists with an important disciplinary tool, freeing the first steps of their student’s enculturation from the physical infrastructure of the laboratory. (shrink)

This paper proposes an outline for a typology of the different forms that scientific objects can take in the life sciences. The first section discusses preparations (or specimens)—a form of scientific object that accompanied the development of modern biology in different guises from the seventeenth century to the present: as anatomical–morphological specimens, as microscopic cuts, and as biochemical preparations. In the second section, the characteristics of models in biology are discussed. They became prominent from the end of the nineteenth century (...) onwards. Some remarks on the role of simulations—characterising the life sciences of the turn from the twentieth to the twenty-first century—conclude the paper. -/- . (shrink)

Over the course of the last three decades, computer simulations have become a major tool of doing science and engaging with the world, not least in an effort to predict and intervene in a future to come. Born in the context of the Second World War and the discipline of physics, simulations have long spread into most diverse fields of enquiry and technological application. This paper introduces a topical collection focussing on simulations in the life sciences. Echoing the current state (...) of tinkering, fast developments, segmentation of knowledge and interdisciplinary collaboration, and in an effort to bridge the science-humanities divide, the contributors to this collection come from multiple disciplinary backgrounds, including information studies, cognitive sciences, philosophy and biology. The ambiguous character of simulations, their cutting across scientific disciplines, analysis and prediction, understanding and doing, gave rise to their success in contemporary life sciences and has been the object of much scientific debate. One of the main aims of this topical collection, by contrast, is to call into question the assumption of an obvious use and easy transfer of methods between fields of knowledge as diverse as, e.g. physics and biology. The collection presents historical case studies from various biological sub-fields. The articles study how simulations are used and the ways they contribute specifically to our understanding of life. Taking up Sergio Sismondo’s description of simulations as “compromises” and “glue”, they also critically engage with the question of what exactly the life sciences have been gluing together over the last two decades. (shrink)