Thinking With Containers: A Multi-Agent Retrieval Approach for the Case-Based Semantic Search of Architectural Designs

Viktor Ayzenshtadt, Christoph Langenhan, Saqib Bukhari, Klaus-Dieter Althoff, Frank Petzold, Andreas Dengel

Abstract

To provide the retrieval of information, that can be considered useful during the design conceptualization process, with advantages of distributed artificial knowledge, an approach, that distributes retrieval-related and knowledge maintaining tasks among autonomously working and case-based self-learning agents and agent groups, can be used. In this work we present the distributed retrieval system MetisCBR for the architectural design domain, where agents work in groups (containers) on resolving of user queries built with a semantic description model Semantic Fingerprint. The main aim of our approach is to carry out a basis for a considerable retrieval tool for architects, where the combination of case-based reasoning and multi-agent methods helps to achieve valuable and helpful search results in a comprehensive building design collection.

References

  1. Aha, D. W., Kibler, D., and Albert, M. K. (1991). Instance-based learning algorithms. Machine Learning, 6(1):37-66.
  2. Ahmed, S., Weber, M., Liwicki, M., Langenhan, C., Dengel, A., and Petzold, F. (2014). Automatic analysis and sketch-based retrieval of architectural floor plans. Pattern Recognition Letters, 35:91-100.
  3. Ayzenshtadt, V. (2015). Concept and Implementation of a Distributed Case-based Retrieval Approach for the Support of Architectural Conceptualization Phase. Master thesis. University of Hildesheim.
  4. Bayer, J., Bukhari, S., Dengel, A., Langenhan, C., Althoff, K.-D., Petzold, F., and Eichenberger-Liwicki, M. (2015). Migrating the classical pen-and-paper based conceptual sketching of architecture plans towards computer tools - prototype design and evaluation. 11th IAPR International Workshop on Graphics Recognition - GREC'15, Nancy, France.
  5. Caire, G. and Cabanillas, D. (2002). Jade tutorial: application-defined content languages and ontologies. TILab SpA.
  6. Cavieres, A., Bhatia, U., Joshi, P., Zhao, F., and Ram, A. (2011). CBArch: A case-based reasoning framework for conceptual design of commercial buildings. Artificial Intelligence and Sustainable Design - Papers from the AAAI 2011 Spring Symposium (SS-11-02), pages 19-25.
  7. Flemming, U. (1994). Case-based design in the SEED system. Automation in Construction, 3(2):123-133.
  8. Greenwood, D., Nagy, J., and Calisti, M. (2005). Semantic enhancement of a web service integration gateway. In Proceedings of the Workshop on Service-Oriented Computing and Agent-Based Engineering (SOCABE 2005), Utrecht, The Netherlands.
  9. Heylighen, A. and Neuckermans, H. (2001). A case base of case-based design tools for architecture. ComputerAided Design, 33(14):1111-1122.
  10. Heylighen, A., Schreurs, J., and Neuckermans, H. (2002). Enter instead of submit. DesignNet-Knowledge e Information Management per il design, pages 171-182.
  11. Inanc, B. S. (2000). Casebook. An information retrieval system for housing floor plans. In the Proceedings of 5th Conference on Computer Aided Architectural Design Research (CAADRIA), pages 389-398.
  12. Langenhan, C. (2015). A federated information system for the support of topological bim-based approaches. Forum Bauinformatik Aachen.
  13. Langenhan, C. and Petzold, F. (2010). The fingerprint of architecture-sketch-based design methods for researching building layouts through the semantic fingerprinting of floor plans. International electronic scientific-educational journal: Architecture and Modern Information Technologies, 4:13.
  14. Nwana, H. S., Lee, L. C., and Jennings, N. R. (1996). Coordination in software agent systems. British Telecom Technical Journal, 14(4):79-88.
  15. Oxman, R. and Oxman, R. (1993). Precedents: Memory structure in design case libraries. In CAAD Futures, volume 93, pages 273-287.
  16. Richter, K., Heylighen, A., and Donath, D. (2007). Looking back to the future-an updated case base of case-based design tools for architecture. Knowledge ModellingeCAADe.
  17. Siebert, M. (2014). Concept of a CBR System for the Architectural Conceptualization Phase Support. Project report.
  18. Voss, A. (1997). Case design specialists in FABEL. Issues and Applications of Case-based Reasoning in Design, pages 301-335.
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Paper Citation


in Harvard Style

Ayzenshtadt V., Langenhan C., Bukhari S., Althoff K., Petzold F. and Dengel A. (2016). Thinking With Containers: A Multi-Agent Retrieval Approach for the Case-Based Semantic Search of Architectural Designs . In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-172-4, pages 149-156. DOI: 10.5220/0005683801490156


in Bibtex Style

@conference{icaart16,
author={Viktor Ayzenshtadt and Christoph Langenhan and Saqib Bukhari and Klaus-Dieter Althoff and Frank Petzold and Andreas Dengel},
title={Thinking With Containers: A Multi-Agent Retrieval Approach for the Case-Based Semantic Search of Architectural Designs},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2016},
pages={149-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005683801490156},
isbn={978-989-758-172-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Thinking With Containers: A Multi-Agent Retrieval Approach for the Case-Based Semantic Search of Architectural Designs
SN - 978-989-758-172-4
AU - Ayzenshtadt V.
AU - Langenhan C.
AU - Bukhari S.
AU - Althoff K.
AU - Petzold F.
AU - Dengel A.
PY - 2016
SP - 149
EP - 156
DO - 10.5220/0005683801490156