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Applied Interdisciplinary Peirce Studies


Edited By Elize Bisanz

The volume focuses on the application of Peirce’s semeiotic as a methodological tool to establish a common field for interdisciplinary research. Contributors from the fields of biology, architecture, logic, esthetics and neuroscience, among others, work on diverse research problems, unified by the idea of transcending the dyadic limitations of disciplinary restrictions and applying Peirce’s triadic method, and the structure and process of sign relations of the particular problem that has to be solved. The result is an invigorating example of methodological plasticity wherein the reader acquires an understanding of scientific observation within the complex universe of semeiosis relations.

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Modelling Vision – A Semeiotic Approach to Algorithmic Images (Stephanie Schneider)


Stephanie Schneider

Modelling Vision – A Semeiotic Approach to Algorithmic Images

Abstract: With this paper, I aim to exemplify recent developments in computer imaging and study its impact on our visual consciousness by applying Charles S. Peirce’s method of Semeiotic. Digital technologies have shifted the focus from representation to simulation and allowed for dissociation of images and their related references. This shift results in a higher level of abstraction in all communication processes that on the one hand exposes the individual to the risk of being exploited. (Cf. Bisanz, Elize (ed.): Die Überwindung des Ikonischen. Kulturwissenschaftliche Perspektiven der Bildwissenschaft. transcript Verlag: Bielefeld 2010). On the other hand, digital technologies could also be a way of representing the highly relational structure of personal and cultural identity formation.

Keywords: Charles S. Peirce, Semeiotic, Algorithmic Images

Contemporary visual culture is driven by computer technology, in a way that has profoundly changed the generation, reproduction and distribution of images. In this culture of digitality (Stalder, Felix: Kultur der Digitalität. Suhrkamp Verlag: Berlin 2016) images are no longer exclusively produced and observed by humans, but to a growing extent, they are made by and for computers. The technological transformations have caused a shift in the image structure – from representation to simulation and algorithmization – that might be easily overlooked in our everyday experience. Imagine, for instance, a photograph shot with a smartphone camera; most people are not aware that by taking a picture with a digital camera a...

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