Problem examination for AI methods in product design

Autor:	Rosenthal, Philipp, Niggemann, Oliver
Rok vydání:	2022
Předmět:	Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	Artificial Intelligence (AI) has significant potential for product design: AI can check technical and non-technical constraints on products, it can support a quick design of new product variants and new AI methods may also support creativity. But currently product design and AI are separate communities fostering different terms and theories. This makes a mapping of AI approaches to product design needs difficult and prevents new solutions. As a solution, this paper first clarifies important terms and concepts for the interdisciplinary domain of AI methods in product design. A key contribution of this paper is a new classification of design problems using the four characteristics decomposability, inter-dependencies, innovation and creativity. Definitions of these concepts are given where they are lacking. Early mappings of these concepts to AI solutions are sketched and verified using design examples. The importance of creativity in product design and a corresponding gap in AI is pointed out for future research. Comment: published at IJCAI 21 Workshop AI and Design
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2201.07642 Zobrazit plný text záznamu View this record from Arxiv