The ArgumentIn its reconstruction of scientific practice, philosophy of science has traditionally placed scientific theories in a central role, and has reduced the problem of mediating between theories and the world to formal considerations. Many applications of scientific theories, however, involve complex mathematical models whose constitutive equations are analytically unsolvable. The study of these applications often consists in developing representations of the underlying physics on a computer, and using the techniques of computer simulation in order to learn about the behavior (...) of these systems. In many instances, these computer simulations are not simple number-crunching techniques. They involve a complex chain of inferences that serve to transform theoretical structures into specific concrete knowledge of physical systems. In this paper I argue that this process of transformation has its own epistemology. I also argue that this kind of epistemology is unfamiliar to most philosophy of science, which has traditionally concerned itself with the justification of theories, not with their application. Finally, I urge that the nature of this epistemology suggests that the end results of some simulations do not bear a simple, straightforward relation to the theories from which they stem. (shrink)

The Second World War was a watershed in history in many ways. I focus on the World War II discontinuity as it relates to the intersection of scientific and military enterprise. I am interested in how we should conceptualize that intersection and in offering a preliminary tracing of the “World War II regime” that has grown out of it—a regime that includes new forms of scientific and military practice but that has invaded and transformed many other cultural spaces, including—my primary (...) example here—the industrial workplace. I exploit the figure of the cyborg to thematize the social, material, and conceptual heterogeneity of the developments at issue; specify a distinct range of cyborg objects and sciences that emerged from the World War II matrix; and exemplify a historiographical approach that escapes the traditional master-narrative structures of science studies. (shrink)

Over the last 40 years or so, economics has become a modelling science: a science in which models have become one of the main epistemological tools both for theoretical and applied work. But providing an account of how models work and what they do for the economist is not easy. For the philosopher of economics like me, struggling with this question, John Sutton's views on the nature and design of economic models and how they work is indeed thought provoking. Because (...) of my own interests, my review of Sutton's book: Marshall's Tendencies: What Can Economists Know? will focus on three related issues that I found especially intriguing in his treatment of the role of models in modern economics. The first is the way that Sutton's account fits with my own reading of the history of twentieth-century economics, namely that the focus of economic explanation has moved during the last century from and to and . The second is to understand the epistemological connotations of Sutton's view. The third is to explore what Sutton means when he says a model . These three questions roughly coincide with the material presented in Chapters 1, 3 and 2 respectively of the book. As we shall see, Sutton gives us a practitioner account of applied economics which can fit within the standard terms used by philosophers of economics on theory-testing, but which reveals a number of novel elements for philosophical analysis. (shrink)

The ArgumentWhat kind of objects are computer programs used for simulation purposes in scientific settings? The current investigation treats a special case. It focuses on “event generators,” the program packages that particle physicists construct and use to simulate mechanisms of particle production. The paper is an attempt to bring the multiplex and unfolding character of such knowledge objects to the fore: Multiple meanings and functions are embodied in the object and can be drawn out selectively according to the requirements of (...) a work setting. The object's conceptual complexity governs its application in some contexts, while the object is considered a mere “black box,” transparent and ready-to-hand, in others. These two poles span a full spectrum of object aspects, functions, and conceptions. Event generators are ideas turned into software, testing grounds for models, just a tool to study the performance of a detector, etc. The object's multiplex nature is submitted to negotiation among different actors. (shrink)

The ArgumentThis paper sets out a framework for understanding how the scientific community constructs computer simulation as an epistemically and pragmatically useful methodology. The framework is based on comparisons between simulation and the loosely-defined categories of “theoretical work” and “experimental work.” Within that framework, the epistemological adequacy of simulation arises from its role as a mathematical manipulation of a complex, abstract theoretical model. To establish that adequacy demands a detailed “theoretical” grasp of the internal structure of the computer program. Simultaneously, (...) the pragmatic usefulness of simulation arises from its role as a “virtual laboratory.” That role is made possible by black-boxing the internal structure of the program, such that the scientist can interact with the computer in an intuitive, “experimental” manner. Thus simulation is rendered authoritative, opening up encoded theories to a novel, “experimental” type of manipulation. (shrink)

In telling Kahn’s story, Ghamari-Tabrizi captures a time whose innocence, gruesome nuclear humor, and outrageous but deadly serious visions of annihilation have their echoes in the “known unknowns and unknown unknowns” that guide policymakers in our own embattled world.

Chapter 1 FROM ORDER TO DISORDER 5 mins. John enters and goes into his office. He says something very quickly about having made a bad mistake. He had sent the review of a paper. . . . The rest of the sentence is inaudible. 5 mins.

Morrison and Morgan argue for a view of models as 'mediating instruments' whose role in scientific theorising goes beyond applying theory. Models are partially independent of both theories and the world. This autonomy allows for a unified account of their role as instruments that allow for exploration of both theories and the world.