Vorstellung eines sozioinformatischen Analyseansatzes zur Technikfolgenabsch\"atzung in Anlehnung an Vesters Sensitivit\"atsmodell am Beispiel des Unternehmens Uber als sozio-technisches System
Tobias D. Krafft

TL;DR
This paper introduces a socio-informatic analysis approach based on Vester's sensitivity model to evaluate the sustainability of socio-technical systems, exemplified through the Uber company, integrating biocybernetic principles.
Contribution
It adapts Vester's sensitivity model for socio-technical system analysis and demonstrates its application to Uber, offering a transdisciplinary extension for planning assessments.
Findings
The sensitivity model provides insights into internal system relationships.
Application to Uber shows the model's practical relevance.
The approach enhances understanding of socio-technical system dynamics.
Abstract
What fits the human brain does not necessarily mean whatever is invented is meant for human brain. This is exactly what is implied by the definition of algorithm: \textit{Reducing and Simplifying}. Our cognitive apparatus, although endowed with certain parameters, ceases to comprehend chains of mathematical and logical steps used for algorithmic or mathematical purposes. Such a cognitive limit allows us to pay attention to the symbolic regularities which are meaningful. The more meaningless these symbols become, the fuzzier is our mental representation for it. Needless to say, that we actually tend to interact with activities that are meaningful, and discard those that are meaningless. By activities we mean steps, steps that form an algorithm. Could it be just an assumption? Are we really aversing from algorithms in modern day life? -- Ziel dieser Arbeit war eine kritische…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScientific Research and Philosophical Inquiry · Design Education and Practice · Psychiatry, Mental Health, Neuroscience
MethodsAdaptive Label Smoothing
