Artificial Societies and the Social Sciences

In 1961 the German Sociological Association invited Karl Popper to give a lecture on the logic of the social sciences, and invited Theodor Adorno to offer a critical response. It was to be a battle of the titans of postwar sociology, and afterwards became known as the “Positivist dispute” (Positivismusstreit) in German social theory. Yet from the beginning the debate went in an unexpected direction. Popper refused to accept the label of positivist, and explicitly attacked an inductivist and naturalist conception of science. Adorno was partially disarmed by this, and offered some reflections on Popper’s theses rather than the expected attack on positivist social science. These were not well received; Popper apparently found Adorno’s Hegelian language unintelligible, and complained that he was “simply talking trivialities in high-sounding language” [1]. The debate was carried on inconclusively for a decade by partisans of both schools.1 Popper’s original suggestions, and Adorno’s response to them, were soon forgotten as the protagonists retreated to well-worn defensive positions. It is interesting to speculate whether this debate might have gone differently if the development of methods for the study of “artificial societies” had begun fifty years earlier.2 In retrospect it seems evident that both Popper and Adorno were struggling with the limitations of a social science methodology based on descriptive statistics. Yet they approached this problem from nearly opposite perspectives. Popper described his methodology as “criticist” rather than “positivist,” and argued for a view of scientific method as consisting of “tentative attempts at solutions.” To this Adorno made two responses. First, he argued that social theory must be able to conceive of an alternative to contemporary society: “only through what it is not will it disclose itself as it is . . . ” [1]. This led him to a critique of descriptive statistics as the primary tool for social inquiry. He argued that “A social science that is both atomistic, and ascends through classification from the atoms to generalities, is the Medusan mirror to a society which is both atomized and organized according to abstract classificatory principles . . . ” [1]. Adorno’s point was that a purely descriptive, statistical analysis of society at a given historical moment is just “scientific mirroring” that “. . . remains a mere duplication. . . . As a corrective, it is not then sufficient simply to distinguish descriptively between the ‘collective realm’ and the ‘individual realm’ as Durkheim intended, but rather the relationship between the two realms must be mediated and must itself be grounded theoretically” [1] (emphasis mine).

[1]  Stephen Lansing,et al.  Complex Adaptive Systems , 2003 .

[2]  Erica Jen,et al.  Stable or robust? What's the difference? , 2003, Complex..

[3]  Martin Suter,et al.  Small World , 2002 .

[4]  Herbert Gintis,et al.  Behavioural science: Homo reciprocans , 2002, Nature.

[5]  C. Field Sharing the Garden , 2001, Science.

[6]  K. Lindgren,et al.  Evolution of Strategies in Repeated Stochastic Games , 2001 .

[7]  Angelo Cangelosi,et al.  Evolution of communication and language using signals, symbols, and words , 2001, IEEE Trans. Evol. Comput..

[8]  Robert Plomin,et al.  It Ain't Necessarily So: The Dream of the Human Genome and Other Illusions. By Richard Lewontin. The New York Review of Books, New York. pp. 320. £14.99 (hb). , 2001 .

[9]  Timothy A. Kohler,et al.  Dynamics in human and primate societies: agent-based modeling of social and spatial processes , 2000 .

[10]  Nigel Gilbert,et al.  Modeling sociality: the view from Europe , 2000 .

[11]  Kenneth H. Tucker The elements of social theory , 2000 .

[12]  D. Turcotte,et al.  Self-organized criticality , 1999 .

[13]  M. Nowak,et al.  Evolution of indirect reciprocity by image scoring , 1998, Nature.

[14]  Lansing,et al.  System-dependent Selection, Ecological Feedback and the Emergence of Functional Structure in Ecosystems. , 1998, Journal of theoretical biology.

[15]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[16]  R. Axelrod Reviews book & software , 2022 .

[17]  Christofer Edling,et al.  Growing artificial societies: Social science from the bottom up. , 1998 .

[18]  Stephen Helmreich Silicon second nature: Culturing arti?cial life in a digital world , 1998 .

[19]  Andrew M. Colman,et al.  The complexity of cooperation: Agent-based models of competition and collaboration , 1998, Complex..

[20]  Joshua M. Epstein,et al.  Growing Artificial Societies: Social Science from the Bottom Up , 1996 .

[21]  G. Fox Chaos and evolution. , 1995, Trends in ecology & evolution.

[22]  John Horgan,et al.  From Complexity to Perplexity , 1995 .

[23]  Arantxa Etxeverria The Origins of Order , 1993 .

[24]  John H. Holland,et al.  Hidden Order: How Adaptation Builds Complexity , 1995 .

[25]  John R. Koza,et al.  Hidden Order: How Adaptation Builds Complexity. , 1995, Artificial Life.

[26]  K. Lindgren,et al.  Evolutionary dynamics of spatial games , 1994 .

[27]  P. Saunders,et al.  Evolution without natural selection: further implications of the daisyworld parable. , 1994, Journal of theoretical biology.

[28]  K. Sigmund Games of Life: Explorations in Ecology, Evolution and Behaviour , 1993 .

[29]  Steven Levy,et al.  Artificial Life: A Report from the Frontier Where Computers Meet Biology , 1993 .

[30]  Karl R. Popper,et al.  A World of Propensities , 1993, Popper's Views on Natural and Social Science.

[31]  Karl Sigmund,et al.  Games Of Life , 1993 .

[32]  James E. Lovelock,et al.  A numerical model for biodiversity , 1992 .

[33]  M. Mitchell Waldrop,et al.  Complexity : the emerging science and the edge of order and chaos , 1992 .

[34]  Andrew Wuensche,et al.  The global dynamics of cellular automata : an atlas of basin of attraction fields of one-dimensional cellular automata , 1992 .

[35]  Stuart A. Kauffman,et al.  The origins of order , 1993 .

[36]  Christopher G. Langton,et al.  Computation at the edge of chaos: Phase transitions and emergent computation , 1990 .

[37]  F. B. Christiansen Frequency dependence and competition. , 1988, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[38]  James E. Lovelock,et al.  The Ages of Gaia , 1988 .

[39]  Josef Hofbauer,et al.  The theory of evolution and dynamical systems , 1988 .

[40]  W. Arthur,et al.  The Economy as an Evolving Complex System II , 1988 .

[41]  M. Feigenbaum Universal behavior in nonlinear systems , 1983 .

[42]  T. Adorno,et al.  The Positivist dispute in German sociology , 1976 .

[43]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[44]  P. Anderson More is different. , 1972, Science.

[45]  J. Habermas,et al.  Knowledge and Human Interests , 1972 .

[46]  P. Berger,et al.  Social Construction of Reality , 1991, The SAGE International Encyclopedia of Mass Media and Society.

[47]  M. Resnik,et al.  Aspects of Scientific Explanation. , 1966 .

[48]  Alfred Schmidt,et al.  The Concept of Nature in Marx , 1962 .

[49]  Vito Volterra,et al.  Leçons sur la théorie mathématique de la lutte pour la vie , 1931 .

[50]  E. Durkheim Suicide: A Study in Sociology , 1897 .