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A Deep Dive Into Exploring the Preference Hypervolume

  • Computers can help us to trigger our intuition about how to solve a problem. But how does a computer take into account what a user wants and update these triggers? User preferences are hard to model as they are by nature vague, depend on the user’s background and are not always deterministic, changing depending on the context and process under which they were established. We pose that the process of preference discovery should be the object of interest in computer aided design or ideation. The process should be transparent, informative, interactive and intuitive. We formulate Hyper-Pref, a cyclic co-creative process between human and computer, which triggers the user’s intuition about what is possible and is updated according to what the user wants based on their decisions. We combine quality diversity algorithms, a divergent optimization method that can produce many, diverse solutions, with variational autoencoders to both model that diversity as well as the user’s preferences, discovering the preference hypervolume within large search spaces.

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Metadaten
Document Type:Conference Object
Language:English
Author:Alexander Hagg, Alexander Asteroth, Thomas Bäck
Parent Title (English):Cardoso, Machado et al. (Eds.): Proceedings of the Eleventh International Conference on Computational Creativity (ICCC'20), Coimbra, Portugal, 7-11 September 2020
First Page:394
Last Page:397
ISBN:978-989-54-1602-8
URN:urn:nbn:de:hbz:1044-opus-64423
URL:https://computationalcreativity.net/iccc20/proceedings/
Publisher:Association for Computational Creativity
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2020/09/07
Copyright:all contents of these proceedings by ACC, the Association for Computational Creativity, published under a Creative Commons Attribution (CC BY) license
Departments, institutes and facilities:Fachbereich Informatik
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2022/10/10
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International