Task categorisation for identification of design automation opportunities

Rigger, Eugen; Shea, Kristina; Stanković, Tino

doi:10.1080/09544828.2018.1448927

Cited by 21 publications

(14 citation statements)

References 85 publications

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“…Furthermore, for an application in a real-world context, the problem to be solved by the machine needs to be carefully selected. For example, which tasks based on which inputs and outputs are interesting for automation [31]? Apart from the possibility of proper formalization, economic criteria will certainly play an important role.…”

Section: Limitationsmentioning

confidence: 99%

Can Machines Design? An Artificial General Intelligence Approach

Hein

Condat²

2018

Artificial General Intelligence

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Can machines design? Can they come up with creative solutions to problems and build tools and artifacts across a wide range of domains? Recent advances in the field of computational creativity and formal Artificial General Intelligence (AGI) provide frameworks for machines with the general ability to design. In this paper we propose to integrate a formal computational creativity framework into the Gödel machine framework. We call the resulting framework design Gödel machine. Such a machine could solve a variety of design problems by generating novel concepts. In addition, it could change the way these concepts are generated by modifying itself. The design Gödel machine is able to improve its initial design program, once it has proven that a modification would increase its return on the utility function. Finally, we sketch out a specific version of the design Gödel machine which specifically addresses the design of complex software and hardware systems. Future work aims at the development of a more formal version of the design Gödel machine and a proof of concept implementation.

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Section: Limitationsmentioning

confidence: 99%

Can Machines Design? An Artificial General Intelligence Approach

Hein

Condat²

2018

Artificial General Intelligence

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“…In order to provide an overview what type of design tasks design automation can be applied to, Rigger et al (2018) present a comprehensive design automation task categorization for which the design automation methods were developed for. Thereby, the authors aim at consolidation of the two major design automation research fields, namely Knowledge-Based Engineering (KBE) and Computational Design Synthesis (CDS) that both investigate computational approaches supporting design activities by means of automation.…”

Section: Introductionmentioning

confidence: 99%

“…Dassault Systems (2010). On the other hand, CDS aims at supporting the early design stages with algorithmic approaches for design space modelling for the generation of alternative solutions as well as solving of complex design tasks, however, only few industrial applications of CDS methods have been reported (Rigger et al, 2018). Whereas a comprehensive overview of state of the art design automation is presented and opportunities for design automation application are highlighted, the state of practice of industry still needs to be examined in detail by means of establishing the current view of design automation with respect to drivers and potential in industry.…”

Section: Introductionmentioning

confidence: 99%

Design Automation State of Practice - Potential and Opportunities

Rigger¹,

Vosgien²

2018

Proceedings of the DESIGN 2018 15th International Design Conference

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Design Automation has been in focus of research and application for several decades. This paper aims at establishing the current view of design automation and identification of potential for adoption based on a survey conducted in German speaking countries and a hypothesis based multivariate analysis based on networks. The findings show that design automation is still considered a means of automation of repetitive design tasks and potential for enhanced application exists. The necessity for methods supporting designers for identification and definition of design automation tasks is urged.

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“…For this architecture diagrams are created, using the enterprise architecture modelling language ArchiMate. The modelling approach for the design automation architecture proposed by Rigger (2019) allows to model the different artifacts of the DA, as well as their interconnections with external models and applications, thus guiding the subsequent implementation. The last step aims to design tests for the design automation on the assembly level.…”

Section: Component Assembly Levelmentioning

confidence: 99%

Enhancing design automation for components of electric machines: a systematic approach

Umland,

Wiberg,

Winkler

et al. 2024

Proc. Des. Soc.

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This paper presents a systematic approach to multidisciplinary design automation in electric motor engineering, focusing on component design. Existing work in this field is often limited to a single level and lacks portability and reusability. The approach aims to enable simultaneous component and system design, with comprehensive models capturing specifications and architecture. Feasibility is demonstrated through the automated design of additive manufactured hairpin windings.

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Task categorisation for identification of design automation opportunities

Cited by 21 publications

References 85 publications

Can Machines Design? An Artificial General Intelligence Approach

Can Machines Design? An Artificial General Intelligence Approach

Design Automation State of Practice - Potential and Opportunities

Enhancing design automation for components of electric machines: a systematic approach

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