862-0109-00L  Knowledge as Texture

SemesterSpring Semester 2021
LecturersA. Kilcher
Periodicitynon-recurring course
Language of instructionGerman
CommentOnly for students MA History and Philosophy of Knowledge.


AbstractKnowledge is objectified as an object in practice. At the same time one can know, but also understand it as a function of relation: as relationship and occupation, or with a metaphorical and at the same time model-like concept: as "texture". We will analyze approaches from the premodern to post-structuralist, character and (context) text theory designs.
Objective- Analysis of epistemological approaches between philosophy, semiotics and text theory
- Analysis of forms and functions of correlation, linking, networking
- Selection and discussion of texts in clusters
ContentKnowledge is usually substantialized and objectified as an object. At the same time, knowledge can also be understood as a function of forms of relation: as a relationship and connection, or spoken with a metaphorical and at the same time model-like field of terms from the “textile” area: as “texture”.
The aim of the seminar is to analyze approaches that develop the formulation of scientific contexts and discourses in such a way as "texture" that understand knowledge as the result of the networking of elements. To what extent is, then, one might ask, the formation of forms of knowledge linked to internal and external reference contexts? How does knowledge appear to us as a system and context, if not captured in a more or less latent or manifest reference structure? This links among other things also to Foucault's concept of the dispositive, which is structured like a network, a fabric and in which the objects of knowledge appear and come to rest in the first place. Accordingly, formal concepts of knowledge are analyzed from a comparative perspective, whereby premodern approaches as well as post-structuralist, semiotic and text-theoretical drafts are included (including Michel Serres, Umberto Eco).

In the seminar - also on the basis of suggestions from the participants - texts in the form of clusters are to be discussed, which in turn build a kind of network to test the performance of this approach.