Two limitations of our knowledge of quality
Johannes Reich

TL;DR
This paper explores the limitations in measuring quality due to issues of validity, incompleteness, and high-dimensional complexity, proposing heuristics to better understand strategic and necessary qualities in decision-making.
Contribution
It introduces a complementary quality notion and heuristics to address the challenges of measuring quality in high-dimensional spaces.
Findings
Quality measurement is limited by validity and incompleteness.
Categorizing qualities into strategic and necessary helps in decision-making.
Heuristics are needed to navigate the curse of dimensionality.
Abstract
This article develops a quality notion that is complementary to the system notion. As a major consequence, it becomes clear why quality can be measured only to a certain extend based on the issues of validity and incompleteness. First, there is an inherent conflict between the applicability and validity of quality measures and second, quality considerations almost always refer to high-dimensional spaces with only sparse knowledge also known as "curse of dimensionality". The resulting gap of knowledge has to be filled by experienced based heuristics. To deal with the curse of dimensionality, the heuristics of categorizing qualities into strategic and necessary is proposed. Strategic qualities provide contrast, while necessary qualities rather diminish contrast. In an economic context the presence of strategic qualities motivate a buy-decision and the absence of necessary qualities…
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
TopicsComplex Systems and Decision Making
