Four Guiding Principles for Modeling Causal Domain Knowledge: A Case Study on Brainstorming Approaches for Urban Blight Analysis
December 03, 2024 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Houssam Razouk, Michael Leitner, Roman Kern
arXiv ID
2412.02400
Category
cs.CE: Computational Engineering
Cross-listed
cs.CL
Citations
0
Venue
arXiv.org
Last Checked
2 months ago
Abstract
Urban blight is a problem of high interest for planning and policy making. Researchers frequently propose theories about the relationships between urban blight indicators, focusing on relationships reflecting causality. In this paper, we improve on the integration of domain knowledge in the analysis of urban blight by introducing four rules for effective modeling of causal domain knowledge. The findings of this study reveal significant deviation from causal modeling guidelines by investigating cognitive maps developed for urban blight analysis. These findings provide valuable insights that will inform future work on urban blight, ultimately enhancing our understanding of urban blight complex interactions.
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