"Science without Laws thus stakes out a middle ground in these debates by demonstrating a more powerful way of seeing science."--BOOK JACKET.

A comparison of the use of model systems and exemplary cases across fields in the natural and social sciences.

What distinguishes laws of nature from ordinary facts? What are the "lawmakers": the facts in virtue of which the laws are laws? How can laws be necessary, yet contingent? Lange provocatively argues that laws are distinguished by their necessity, which is grounded in primitive subjunctive facts, while also providing a non-technical and accessible survey of the field.

Physicists regularly invoke universal laws, such as those of motion and electromagnetism, to explain events. Biological and medical scientists have no such laws. How then do they acquire a reliable body of knowledge about biological organisms and human disease? One way is by repeatedly returning to, manipulating, observing, interpreting, and reinterpreting certain subjects—such as flies, mice, worms, or microbes—or, as they are known in biology, “model systems.” Across the natural and social sciences, other disciplinary fields have developed canonical examples that have played a role comparable to that of biology’s model systems, serving not only as points of reference and illustrations of general principles or values but also as sites of continued investigation and reinterpretation. The essays in this collection assess the scope and function of model objects in domains as diverse as biology, geology, and history, attending to differences between fields as well as to epistemological commonalities. Contributors examine the role of the fruit fly Drosophila and nematode worms in biology, troops of baboons in primatology, box and digital simulations of the movement of the earth’s crust in geology, and meteorological models in climatology. They analyze the intensive study of the prisoner’s dilemma in game theory, ritual in anthropology, the individual case in psychoanalytic research, and Athenian democracy in political theory. The contributors illuminate the processes through which particular organisms, cases, materials, or narratives become foundational to their fields, and they examine how these foundational exemplars—from the fruit fly to Freud’s Dora—shape the knowledge produced within their disciplines. Contributors Rachel A. Ankeny Angela N. H. Creager Amy Dahan Dalmedico John Forrester Clifford Geertz Carlo Ginzburg E. Jane Albert Hubbard Elizabeth Lunbeck Mary S. Morgan Josiah Ober Naomi Oreskes Susan Sperling Marcel Weber M. Norton Wise

In this sequence of philosophical essays about natural science, Nancy Cartwright argues that fundamental explanatory laws, the deepest and most admired successes of modern physics, do not in fact describe the regularities that exist in nature. Yet she is not `anti-realist'. Rather, she draws a novel distinction, arguing that theoretical entities, and the complex and localized laws that describe them, can be interpreted realistically, but that the simple unifying laws of basic theory cannot.

How fixed are the happenings in Nature and how are they fixed? These lectures address what our scientific successes at predicting and manipulating the world around us suggest in answer. One—very orthodox—account teaches that the sciences offer general truths that we combine with local facts to derive our expectations about what will happen, either naturally or when we build a device to design, be it a laser, a washing machine, an anti-malarial bed net, or an auction for the airwaves. In these three 2017 Carus Lectures Nancy Cartwright offers a different picture, one in which neither we, nor Nature, have such nice rules to go by. Getting real predictions about real happenings is an engineering enterprise that makes clever use of a great variety of different kinds of knowledge, with few real derivations in sight anywhere. It takes artful modeling. Orthodoxy would have it that how we do it is not reflective of how Nature does it. It is, rather, a consequence of human epistemic limitations. That, Cartwright argues, is to put our reasoning just back to front. We should read our image of what Nature is like from the way our sciences work when they work best in getting us around in it, non plump for a pre-set image of how Nature must work to derive what an ideal science, freed of human failings, would be like. Putting the order of inference right way around implies that like us, Nature too is an artful modeler. Lecture 1 is an exercise in description. It is a study of the practices of science when the sciences intersect with the world and, then, of what that world is most likely like given the successes of these practices. Millikan's famous oil drop experiment, and the range of knowledge pieced together to make it work, are used to illustrate that events in the world do not occur in patterns that can be properly described in so-called "laws of nature." Nevertheless, they yield to artful modeling. Without a huge leap of faith, that, it seems, is the most we can assume about the happenings in Nature. Lecture 2 is an exercise in metaphysics. How could the arrangements of happenings come to be that way? In answer, Cartwright urges an ontology in which powers act together in different ways depending on the arrangements they find themselves in to produce what happens. It is a metaphysics in which possibilia are real because powers and arrangement are permissive—they constrain but often do not dictate outcomes (as we see in contemporary quantum theory). Lecture 3, based on Cartwright's work on evidence-based policy and randomized controlled trials, is an exercise in the philosophy of social technology: How we can put our knowledge of powers and our skills at artful modeling to work to build more decent societies and how we can use our knowledge and skills to evaluate when our attempts are working. The lectures are important because: They offer an original view on the age-old question of scientific realism in which our knowledge is genuine, yet our scientific principles are neither true nor false but are, rather, templates for building good models. Powers are center-stage in metaphysics right now. Back-reading them from the successes of scientific practice, as Lecture 2 does, provides a new perspective on what they are and how they function. There is a loud call nowadays to make philosophy relevant to "real life." That's just what happens in Lecture 3, where Cartwright applies the lesson of Lectures 1 and 2 to argue for a serious rethink of the way that we are urged—and in some places mandated—to use evidence to predict the outcomes of our social policies.

Using game theory and examples of actual games people play, Nobel laureate Manfred Eigen and Ruthild Winkler show how the elements of chance and rules underlie all that happens in the universe, from genetic behavior through economic growth to the composition of music. To illustrate their argument, the authors turn to classic games--backgammon, bridge, and chess--and relate them to physical, biological, and social applications of probability theory and number theory. Further, they have invented, and present here, more than a dozen playable games derived from scientific models for equilibrium, selection, growth, and even the composition of RNA.

This book presents a radical new picture of natural order. The Newtonian idea of a cosmos ruled by universal and exceptionless laws has been superseded; replaced by a conception of nature as a realm of diverse powers, potencies, and dispositions, a 'dappled world'. There is order in nature, but it is more local, diverse, piecemeal, open, and emergent than Newton imagined. In each chapter expert authors expound the historical context of the idea of laws of nature, and explore the diverse sorts of order actually presupposed by work in physics, biology, and the social sciences. They consider how human freedom might be understood, and explore how Newton's idea of a 'universal designer' might be revised, in this new context. They argue that there is not one unified totalizing program of science, aiming at the completion of one closed causal system. We live in an ordered universe, but we need to rethink the classical idea of the 'laws of nature' in a more dynamic and creatively diverse way.

This book offers a vision of economics in which there is no place for universal laws of nature, and even for laws of a more probabilistic character. The author avoids interpreting the practice of economics as something that leads to the formulation of universal laws or laws of nature. Instead, chapters in the book follow the method of contemporary philosophy of science: rather than formulating suggestions for practicing scientists of how they should do research, the text describes and interprets the very practice of scientific research. This approach demonstrates how economists can explain economic phenomena not by subsuming them under general laws, but rather by building models of these phenomena, by referring to causes, or even by investigating what is in the nature of given factors, events, or circumstances to produce.

This book systematically creates a general descriptive theory of scientific change that explains the mechanics of changes in both scientific theories and the methods of their assessment. It was once believed that, while scientific theories change through time, their change itself is governed by a fixed method of science. Nowadays we know that there is no such thing as an unchangeable method of science; the criteria employed by scientists in theory evaluation also change through time. But if that is so, how and why do theories and methods change? Are there any general laws that govern this process, or is the choice of theories and methods completely arbitrary and random? Contrary to the widespread opinion, the book argues that scientific change is indeed a law-governed process and that there can be a general descriptive theory of scientific change. It does so by first presenting meta-theoretical issues, divided into chapters on the scope, possibility and assessment of theory of scientific change. It then builds a theory about the general laws that govern the process of scientific change, and goes into detail about the axioms and theorems of the theory.