Concept of Interactive Machine Learning in Urban Design Problems : proceedings
- This work presents a concept of interactive machine learning in a human design process. An urban design problem is viewed as a multiple-criteria optimization problem. The outlined feature of an urban design problem is the dependence of a design goal on a context of the problem. We model the design goal as a randomized fitness measure that depends on the context. In terms of multiple-criteriaThis work presents a concept of interactive machine learning in a human design process. An urban design problem is viewed as a multiple-criteria optimization problem. The outlined feature of an urban design problem is the dependence of a design goal on a context of the problem. We model the design goal as a randomized fitness measure that depends on the context. In terms of multiple-criteria decision analysis (MCDA), the defined measure corresponds to a subjective expected utility of a user. In the first stage of the proposed approach we let the algorithm explore a design space using clustering techniques. The second stage is an interactive design loop; the user makes a proposal, then the program optimizes it, gets the user’s feedback and returns back the control over the application interface.…
Dokumentart: | Konferenzveröffentlichung |
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Verfasserangaben: | Artem Chirkin, Prof. Dr. Reinhard KönigORCiDGND |
DOI (Zitierlink): | https://doi.org/10.25643/bauhaus-universitaet.2600Zitierlink |
URN (Zitierlink): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20160622-26000Zitierlink |
URL: | http://dl.acm.org/citation.cfm?id=2898365 |
Verlag: | ACM New York, NY, USA |
Verlagsort: | San Jose, CA, USA |
Sprache: | Englisch |
Datum der Veröffentlichung (online): | 21.06.2016 |
Jahr der Erstveröffentlichung: | 2016 |
Datum der Freischaltung: | 22.06.2016 |
Institute und Partnereinrichtugen: | Fakultät Architektur und Urbanistik / Junior-Professur Computational Architecture |
Seitenzahl: | 4 |
Erste Seite: | 10 |
Letzte Seite: | 13 |
Freies Schlagwort / Tag: | MCDM; interactive machine learning; multiple-criteria optimization; urban design |
GND-Schlagwort: | Stadtgestaltung |
DDC-Klassifikation: | 000 Informatik, Informationswissenschaft, allgemeine Werke |
BKL-Klassifikation: | 54 Informatik |
Lizenz (Deutsch): | Creative Commons 4.0 - Namensnennung (CC BY 4.0) |