| id |
caadria2018_174 |
| authors |
Lagemann, Dennis |
| year |
2018 |
| title |
The Syntopy - An Information-Based Model of Space |
| source |
T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 443-452 |
| doi |
https://doi.org/10.52842/conf.caadria.2018.2.443
|
| summary |
The paper argues that Modernism has produced a manifoldness of theories about spaces or spatial configurations which resemble valuable facets. Yet, they all shed a light on single aspects of spatiality. This raises the question if not in the age of information, there could be a common ground for theories of space that might serve as a model to purport a more general view. Speaking with French philosopher Michel Serres, when the old model of time collapsed at the end of Modernity, it has left the underlying concepts as scattered elements to the beginning of Modernism. The most promising approach to reconcile these elements in spatiotemporality appears to be Category Theory in mathematics. It defines four categorically differentiated domains which exactly resemble the scattered elements. In search for a common ground to build up a new model, the Syntopy is being developed for thinking space, based on the way information is encoded within these four domains. |
| keywords |
Space; Information and Data; Lambda Calculus; Topography and Topology; Synthesis |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (3,606,848 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:52 |
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