A Preliminary Survey of Explanation Facilities of AI-Based Design Support Approaches and Tools

Viktor Eisenstadt; Klaus-Dieter Althoff

In: Rainer Gemulla; Simone Ponzetto; Christian Bizer; Margret Keuper; Heiner Stuckenschmidt (Hrsg.). LWDA 2018 - Lernen, Wissen, Daten, Analysen - Workshop Proceedings. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2018), August 22-24, Mannheim, Germany, Universität Mannheim, 8/2018.


This work provides a first version of a survey of explanation facilities implemented in AI-based design support software. The goal of the survey is to provide a comprehensive analysis that examines the existing approaches, prototypes, and tools, that aim at support of conceptual or concrete design phases in domains such as architecture or CAD and possess a certain explainability feature or component. The requirement for the approaches to be included in this survey is that they should be mainly based on AI or AI-based techniques, such as artificial neural networks, case-based reasoning, multi-agent systems etc. Each of the included approaches will be shortly described, with an emphasis on its explanation facility which then will be checked for certain criteria. In this paper, only a short selection of the approaches is presented to provide a first look at it and to build a foundation for the discussion of possible suggestions, additions, or improvements during the workshop.

Weitere Links

LWDA_2018_paper_59.pdf (pdf, 498 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence