The ambition and proposal for data modeling of myths presented in this paper is to link contemporary technical affordances to some canonical projects developed in structural anthropology. To articulate the theoretical promise and innovation of this proposal, we present a discrete-event system specification modeling and simulation approach in order to perform a generative analysis and a dynamic visualization of selected narratives, aimed at validating and revitalizing the transformational and morphodynamic theory and methodology proposed by Claude Lévi-Strauss in his structural analysis (...) of myth. After an analysis of Lévi-Strauss’s transformational methodology, we describe in detail how discrete-event system specification models are implemented and developed in the framework of a DEVSimPy software environment. The validation of the method involves a discrete-event system specification simulation based on the extension of discrete-event system specification models dedicated to provide a dynamic Google Earth visualization of the selected myth. Future work around the discrete-event system specification formalism in anthropology is described as well as future applications regarding the impact of computational models to new contemporary anthropological domains. (shrink)

This article offers a reconstruction of Derrida’s critique of Leibniz. It suggests that in attempting to fit Leibniz into his conception of the history of metaphysics and the all-embracing notion of logocentrism that underwrites it, Derrida presupposes two regimes of logocentrism: one subjective, the other theological. Subsumed into this second mode, Derrida casts Leibniz as a progenitor of structuralism and the new sciences and technologies of information in order to expose their logocentric foundations. However, in doing so, he ends up (...) sidelining the aspect of Leibniz’s ideas that anticipates the specificity of the new epoch of writing he claims to historicise. The article goes on to argue that to grasp this specificity one must look beyond the “expressivist” schema of exterior representation, which Derrida draws from Husserl’s theory of meaning, and instead look to Leibniz’s own formal-combinatorial concept of expression, which exceeds Derrida’s critical framework. (shrink)

This article examines the history of cybernetics in France, and the history of French cybernetics in the context of the emergent field of the history of cybernetics. Drawing upon an unfamiliar group of intellectuals and sources, I discuss the way in which French cybernetics was not primarily the hyper-philosophical strain we have come to associate with names such as Derrida and Lévi-Strauss, but an approach to thinking through political and social problems that some on the left would even deign to (...) call pragmatic. In particular, I follow a group of intellectuals known as the Groupe des dix, who, in the aftermath of the tumult of May ‘68, formed an interdisciplinary think tank to try to work out how to bridge the gap between science and society. In order to facilitate conversations between politicians, philosophers, biologists, and sociologists (to name just a few of the represented disciplines), the Groupe reached for a language that was supposed to be truly omnidisciplinary: that of cybernetics. And they did so in a country where cybernetics was not properly represented as a laboratory science. On this last point, this paper makes an addition to the history of cybernetics by offering a portrait not of cybernetics in action, but of cybernetics in vulgarization. Not that the Groupe would not make their own stamp on politics: Several of them still hold significant power in adjudicating the role of science and technology in the public sphere in the French state. (shrink)

This E-Special Issue collects together 11 articles from the archives of Theory, Culture & Society. These articles all articulate and debate the contribution of what some have described as either ‘complex complexity’ or ‘general complexity’. In contrast to reductionist or restricted attempts to understand complexity, the articles collected here move away from the tendency to assume mastery of complexity by expounding a set of universal and simple laws. Rather, the position of general complexity is that we cannot grasp the complexity (...) of the world in its complexity, and therefore depend upon models which are always incomplete, provisional and contingent. Yet, these models make knowledge and action possible, and it is therefore the contribution of general complexity to provide the means through which we can ethically and pragmatically engage with complexity in the hope of realizing alternative, perhaps better, worlds. (shrink)

"The term 'model' has become fashionable". What Mary Hesse characterized in the mid-1960s as a trend in logic, mathematics, and the natural sciences, applies today in general for a broad spectrum of disciplines. Today models appear to be of "extraordinary importance" compared to the first half of the twentieth century, when models were neither mentioned nor contemplated, either generally in scientific publications or specifically in the philosophy of science. It is even assumed that models are "the key to science" and (...) that today's science is largely... (shrink)

This article situates the emergence of cybernetic concepts in postwar French thought within a longer history of struggles surrounding the technocratic reform of French universities, including Marcel Mauss’s failed efforts to establish a large-scale centre for social-scientific research with support from the Rockefeller Foundation, the intellectual and administrative endeavours of Claude Lévi-Strauss during the 1940s and 1950s, and the rise of communications research in connection with the Centre d’Études des Communications de Masse (CECMAS). Although semioticians and poststructuralists used cybernetic discourse (...) critically and ironically, I argue that their embrace of a ‘textocratic’ perspective – that is, a theory of power and epistemology as tied to technical inscription – sustained elements of the technocratic reasoning dating back to these 1920s efforts to reform French universities. (shrink)

Machine learning algorithms reshape how people communicate, exchange, and associate; how institutions sort them and slot them into social positions; and how they experience life, down to the most ordinary and intimate aspects. In this article, we draw on examples from the field of social media to review the commonalities, interactions, and contradictions between the dispositions of people and those of machines as they learn from and make sense of each other.

Constellations, Volume 29, Issue 2, Page 131-145, June 2022.