Combining principles of individual rational choice with a sociological conception of collective action, James Coleman recasts social theory in a bold new way. The result is a landmark in sociological theory, capable of describing both stability and change in social systems. This book provides for the first time a sound theoretical foundation for linking the behavior of individuals to organizational behavior and then to society as a whole. The power of the theory is especially apparent when Coleman analyzes corporate actors, (...) such as large corporations and trade unions. He examines the creation of these institutions, collective decision making, and the processes through which authority is revoked in revolts and revolutions. Coleman discusses the problems of holding institutions responsible for their actions as well as their incompatibility with the family. He also provides a simple mathematical analysis corresponding to and carrying further the verbal formulations of the theory. Finally, he generates research techniques that will permit quantitative testing of the theory. From a simple, unified conceptual structure Coleman derives, through elegant chains of reasoning, an encompassing theory of society. It promises to be the most important contribution to social theory since the publication of Talcott Parsons' Structure of Social Action in 1936. (shrink)

Stuart Kauffman here presents a brilliant new paradigm for evolutionary biology, one that extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. The book drives to the heart of the exciting debate on the origins of life and maintenance of order in complex biological systems. It focuses on the concept of self-organization: the spontaneous emergence of order widely observed throughout nature. Kauffman here argues that self-organization plays an (...) important role in the emergence of life itself and may play as fundamental a role in shaping life's subsequent evolution as does the Darwinian process of natural selection. Yet until now no systematic effort has been made to incorporate the concept of self-organization into evolutionary theory. The construction requirements which permit complex systems to adapt remain poorly understood, as is the extent to which selection itself can yield systems able to adapt more successfully. This book explores these themes. It shows how complex systems, contrary to expectations, can spontaneously exhibit stunning degrees of order, and how this order, in turn, is essential for understanding the emergence and development of life on Earth. Topics include the new biotechnology of applied molecular evolution, with its important implications for developing new drugs and vaccines; the balance between order and chaos observed in many naturally occurring systems; new insights concerning the predictive power of statistical mechanics in biology; and other major issues. Indeed, the approaches investigated here may prove to be the new center around which biologicalscience itself will evolve. The work is written for all those interested in the cutting edge of research in the life sciences. (shrink)

This book provides an explanation of the connections between nature at its most basic level and natural selection, archaeology, linguistics, child development, computers and other complex adaptive systems.

An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences. In Discovering Complexity, William Bechtel and Robert Richardson examine two heuristics that guided the development of mechanistic models in the life sciences: decomposition and localization. Drawing on historical cases from disciplines including cell biology, cognitive neuroscience, and genetics, they identify a number of "choice points" that life scientists confront in developing mechanistic explanations and show how different choices result in divergent (...) explanatory models. Describing decomposition as the attempt to differentiate functional and structural components of a system and localization as the assignment of responsibility for specific functions to specific structures, Bechtel and Richardson examine the usefulness of these heuristics as well as their fallibility—the sometimes false assumption underlying them that nature is significantly decomposable and hierarchically organized. When Discovering Complexity was originally published in 1993, few philosophers of science perceived the centrality of seeking mechanisms to explain phenomena in biology, relying instead on the model of nomological explanation advanced by the logical positivists (a model Bechtel and Richardson found to be utterly inapplicable to the examples from the life sciences in their study). Since then, mechanism and mechanistic explanation have become widely discussed. In a substantive new introduction to this MIT Press edition of their book, Bechtel and Richardson examine both philosophical and scientific developments in research on mechanistic models since 1993. (shrink)

Margaret Archer develops here her morphogenetic approach, heralded in Culture and Agency (CUP, 1988), and applies it to the problem of structure and agency, that is, how we both shape society and are shaped by it. Her aim is to capture the interplay between these two processes rather than collapse them into one, as has been the case with the traditional competing individualist and collectivist methodologies. The morphogenetic approach offers a new understanding of social change and poses a direct challenge (...) to Giddens' structuration theory. (shrink)

This book brings together, in systematic and generalized form, the main outlines of a conceptual scheme for the analysis of the structure and processes of social systems. It carries out Pareto's intention by using the "structural-functional" level of analysis.

Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial ...

With this manifesto, John Dupré systematically attacks the ideal of scientific unity by showing how its underlying assumptions are at odds with the central conclusions of science itself.

In Part I, the author argued for nonreductive individualism (NRI), an account of the individual-collective relation that is ontologically individualist yet rejects methodological individualism. However, because NRI is ontologically individualist, social entities and properties would seem to be only analytic constructs, and if so, they would seem to be epiphenomenal, since only real things can have causal power. In general, a nonreductionist account is a relatively weak defense of sociological explanation if it cannot provide an account of how social properties (...) can participate in causal relations. In this article, the author extends NRI to address this weakness and provides an account of social causation that he refers to as supervenient causation. Key Words: individualism • collectivism • social realism • social causation. (shrink)

The aim of this article is to elucidate the notions of explanation and mechanism, in particular of the social kind. A mechanism is defined as what makes a concrete system tick, and it is argued that to propose an explanation proper is to exhibit a lawful mechanism. The so-called covering law model is shown to exhibit only the logical aspect of explanation: it just subsumes particulars under universals. A full or mechanismic explanation involves mechanismic law statements, not purely descriptive ones (...) such as functional relations and rate equations. Many examples from the natural, biosocial, and social sciences are examined. In particular, macro-micro-micro-macro social relations are shown to explain other wise puzzling macro-macro links. The last part of the article relates the author's progress, over half a century, toward understanding mechanism and explanation. (shrink)

In this paper I offer an analysis of causation based upon a theory of mechanisms-complex systems whose internal parts interact to produce a system's external behavior. I argue that all but the fundamental laws of physics can be explained by reference to mechanisms. Mechanisms provide an epistemologically unproblematic way to explain the necessity which is often taken to distinguish laws from other generalizations. This account of necessity leads to a theory of causation according to which events are causally related when (...) there is a mechanism that connects them. I present reasons why the lack of an account of fundamental physical causation does not undermine the mechanical account. (shrink)

A unique multilevel perspective-structural social psychology-is explicated to help build theoretical bridges between micro and macro levels of analysis in sociology. The perspective portrays actors (human or corporate) as having minimal properties of purposiveness and responsiveness, encounters as interaction episodes between multiple actors, microstructures as local patterns of interaction emerging from and subsequently influencing encounters, and macrostructures as networks of social positions. These levels of analysis are connected via mutually contingent processes. Applying these assumptions, we illustrate the ability of the (...) framework to strengthen the macrosociological import of micro theories of power, status, and justice. We argue that structural social psychology is an important metatheoretical strategy for developing testable connections between individual and collective units of sociological analysis. (shrink)

Many areas of science develop by discovering mechanisms and role functions. Cummins' (1975) analysis of role functions-according to which an item's role function is a capacity of that item that appears in an analytic explanation of the capacity of some containing system-captures one important sense of "function" in the biological sciences and elsewhere. Here I synthesize Cummins' account with recent work on mechanisms and causal/mechanical explanation. The synthesis produces an analysis of specifically mechanistic role functions, one that uses the characteristic (...) active, spatial, temporal, and hierarchical organization of mechanisms to add precision and content to Cummins' original suggestion. This synthesis also shows why the discovery of role functions is a scientific achievement. Discovering a role function (i) contributes to the interlevel integration of multilevel mechanisms, and (ii) provides a unique, contextual variety of causal/mechanical explanation. (shrink)

The dominant neuroscientific theory of spatial memory is, like many theories in neuroscience, a multilevel description of a mechanism. The theory links the activities of molecules, cells, brain regions, and whole organisms into an integrated sketch of an explanation for the ability of organisms to navigate novel environments. Here I develop a taxonomy of interlevel experimental strategies for integrating the levels in such multilevel mechanisms. These experimental strategies include activation strategies, interference strategies, and additive strategies. These strategies are mutually reinforcing, (...) providing a kind of interlevel and intratheoretic robustness that has not previously been recognized. (shrink)

The concept of mechanism is analyzed in terms of entities and activities, organized such that they are productive of regular changes. Examples show how mechanisms work in neurobiology and molecular biology. Thinking in terms of mechanisms provides a new framework for addressing many traditional philosophical issues: causality, laws, explanation, reduction, and scientific change.

Most philosophical accounts of emergence are incompatible with reduction. Most scientists regard a system property as emergent relative to properties of the system's parts if it depends upon their mode of organization--a view consistent with reduction. Emergence can be analyzed as a failure of aggregativity--a state in which "the whole is nothing more than the sum of its parts." Aggregativity requires four conditions, giving tools for analyzing modes of organization. Differently met for different decompositions of the system, and in different (...) degrees, these conditions provide powerful evaluation criteria for choosing decompositions, and heuristics for detecting biases of vulgar reductionisms. This analysis of emergence is compatible with reduction. (shrink)

For nearly thirty years, there has been a consensus (at least in English-speaking countries) that reductionism is a mistake and that there are autonomous special sciences. This consensus has been based on an argument from multiple realizability. But Jaegwon Kim has argued persuasively that the multiple realizability argument is flawed.1 I will sketch the recent history of the debate, arguing that much --but not all--of the anti-reductionist consensus survives Kim's critique. This paper was originally titled "Anti-Reductionism Strikes Back", but in (...) the course of writing the paper, I came to think that the concepts used in the debate would not serve either position very well. (shrink)

The author draws on arguments from contemporary philosophy of mind to provide an argument for sociological collectivism. This argument for nonreductive individualism accepts that only individuals exist but rejects methodological individualism. In Part I, the author presents the argument for nonreductive individualism by working through the implications of supervenience, multiple realizability, and wild disjunction in some detail. In Part II, he extends the argument to provide a defense for social causal laws, and this account of social causation does not require (...) any commitment to intentionality or agency on the part of individuals. (shrink)

This chapter explores some fundamental consequences of the correspondence between physical process and computations. Most physical questions may be answerable only through irreducible amounts of computation. Those that concern idealized limits of infinite time, volume, or numerical precision can require arbitrarily long computations, and so be considered formally undecidable. The behavior of a physical system may always be calculated by simulating explicitly each step in its evolution. Much of theoretical physics has, however, been concerned with devising shorter methods of calculation (...) that reproduce the outcome without tracing each step. Computational irreducibility is common among the systems investigated in mathematics and computation theory, but it may well be the exception rather than the rule, since most physical questions may be answerable only through irreducible amounts of computation. (shrink)

Goffman is credited with enriching our understanding of the details of interaction, but not with challenging our theoretical understanding of social organization. While Goffman's position is not consistent, the outlines for a theory of an interaction order sui generis may be found in his work. It is not theoretically adequate to understand Goffman as an interactionist within the dichotomy between agency and social structure. Goffman offers a way of resolving this dichotomy via the idea of an interaction order which is (...) constitutive of self and at the same time places demands on social structure. This has significant implications for our understanding of social organization in general. (shrink)

Some theorists who emphasize the complexity of biological and cognitive systems and who advocate the employment of the tools of dynamical systems theory in explaining them construe complexity and reduction as exclusive alternatives. This paper argues that reduction, an approach to explanation that decomposes complex activities and localizes the components within the complex system, is not only compatible with an emphasis on complexity, but provides the foundation for dynamical analysis. Explanation via decomposition and localization is nonetheless extremely challenging, and an (...) analysis of recent cognitive neuroscience research on memory is used to illustrate what is involved. Memory researchers split between advocating memory systems and advocating memory processes, and I argue that it is the latter approach that provides the critical sort of decomposition and localization for explaining memory. The challenges of linking distinguishable functions with brain processes is illustrated by two examples: competing hypotheses about the contribution of the hippocampus and competing attempts to link areas in frontal cortex with memory processing. (shrink)

This 1989 book is intended as an introductory survey of the philosophy of the social sciences. It is essentially a work of exposition which offers a toolbox of mechanisms - nuts and bolts, cogs and wheels - that can be used to explain complex social phenomena. Within a brief compass, Jon Elster covers a vast range of topics. His point of departure is the conflict we all face between our desires and our opportunities. How can rational choice theory help us (...) understand our motivation and behaviour? More significantly, what happens when the theory breaks down but we still cleave to a belief in the power of the rational? Elster describes the fascinating range of forms of irrationality - wishful thinking, the phenomenon of sour grapes, discounting the future in noncooperative behaviour. This is a remarkably lucid and comprehensive introduction to the social sciences for students of political science, philosophy, sociology and economics. (shrink)

This text focuses on the theory of popular politics constructed within the context of analytical Marxism, and asks if rational choice theory provides an adequate basis for explaining patterns of social, political and economic behaviour in traditional China.

Mechanisms in a theory are defined here as bits of theory about entities at a different level (e.g., individuals) than the main entities being theorized about (e.g., groups), which serve to make the higher-level theory more supple, more accurate, or more general. The criterion for whether it is worthwhile to theorize at lower levels is whether it makes the theory at the higher levels better, not whether lower-level theorizing is philosophically necessary. The higher-level theory can be made better by mechanisms (...) known to be inadequate in the discipline dealing with the lower level. Conditions for the usefulness of lower-level theorizing are proposed, with many examples from various social and physical sciences. (shrink)

The development of a scientific theory of mind was thus significantly delayed."--BOOK JACKET.

Introduction In ancient rome, legend has it, a plebeian revolt was once quelled when the tribune Menenius Agrippa argued ...

In this piece the author takes issue with Mario Bunge’s claims that conceptual and semiotic systems have "compositions, environments and structures, but no mechanisms." Structures, according to Bunge, can never be mechanisms in conceptual and semiotic systems. Contra this the author argues that in social systems, social structures (which are concept-dependent and reproduced and/or transformed, at least in part, semiotically), can be mechanisms in the sense that such structures are one of the processes in a concrete system that makes itwhat (...) it is. As such, not only may conceptual and semiotic systems have mechanisms, but they may also themselves be considered some of the mechanisms that make the social what it is. As such, they can be said to possess powers and liabilities that neither reside at lower levels nor are explainable in terms of the lower level. To hold out the prospect of social explanation by conceptual and/or semiotic mechanisms does not represent an attempt to decouple these systems from material factors. What it does mean is that conceptual and/or semiotic systems can, potentially at least, play a role in social explanation; and themselves be subject to explanation. Key Words: mechanisms • social • structures • cause • explanation • realism • emergence • reductionism. (shrink)

This article addresses the following problems: What is a mechanism, how can it be discovered, and what is the role of the knowledge of mechanisms in scientific explanation and technological control? The proposed answers are these. A mechanism is one of the processes in a concrete system that makes it what it is — for example, metabolism in cells, interneuronal connections in brains, work in factories and offices, research in laboratories, and litigation in courts of law. Because mechanisms are largely (...) or totally imperceptible, they must be conjectured. Once hypothesized they help explain, because a deep scientific explanation is an answer to a question of the form, "How does it work, that is, what makes it tick—what are its mechanisms?" Thus, by contrast with the subsumption of particulars under a generalization, an explanation proper consists in unveiling some lawful mechanism, as when political stability is explained by either coercion, public opinion manipulation, or democratic participation. Finding mechanisms satisfies not only the yearning for understanding, but also the need for control. Key Words: explanation • function • mechanism • process • system • systemism. (shrink)

In this bold work, of broad scope and rich erudition, Richard Miller sets out to reorient the philosophy of science. By questioning both positivism and its leading critics, he develops new solutions to the most urgent problems about justification, explanation, and truth. Using a wealth of examples from both the natural and the social sciences, Fact and Method applies the new account of scientific reason to specific questions of method in virtually every field of inquiry, including biology, physics, history, sociology, (...) anthropology, economics, psychology, and literary theory. Explicit and up-to-date analysis of leading alternative views and a wealth of examples make it an ideal introduction to the philosophy of science, as well as a powerful attempt to change the field. Like the works of Hempel, Reichenbach, and Nagel in an earlier generation, it will challenge, instruct, and help anyone with an interest in science and its limits. For the past quarter-century, the philosophy of science has been in a crisis brought on by the failure of the positivist project of resolving all basic methodological questions by applying absolutely general rules, valid for all fields at all times. Professor Miller presents a new view in which what counts as an explanation, a cause, a confirming test, or a compelling case for the existence of an unobservable is determined by frameworks of specific substantive principles, rationally adopted in the light of the actual history of inquiry. While the history of science has usually been the material for relativism, Professor Miller uses arguments of Darwin, Newton, Einstein, Galileo, and others both to undermine positivist conceptions of rationality and to support the positivists' optimism that important theoretical findings are often justifiable from all reasonable perspectives. (shrink)

A renowned mathematician shows how the "science of surprise" can help explain some of the most inexplicable phenomena in science, nature, the arts, the economy, and more.

In this bold work of broad scope and rich erudition, Richard W. Miller sets out to reorient the philosophy of science.

Pursuing an analogy with the natural sciences, Lee McIntyre, in this first full-length defense of social scientific laws to appear in the last twenty years, upholds the prospect of the nomological explanation of human behavior against those who maintain that this approach is impossible, impractical, or irrelevant.