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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

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.

Original languageEnglish
Title of host publicationICAART 2016 - Proceedings of the 8th International Conference on Agents and Artificial Intelligence
EditorsJaap van den Herik, Joaquim Filipe, Joaquim Filipe
PublisherSciTePress
Pages149-156
Number of pages8
ISBN (Electronic)9789897581724
DOIs
StatePublished - 2016
Event8th International Conference on Agents and Artificial Intelligence, ICAART 2016 - Rome, Italy
Duration: 24 Feb 201626 Feb 2016

Publication series

NameICAART 2016 - Proceedings of the 8th International Conference on Agents and Artificial Intelligence
Volume1

Conference

Conference8th International Conference on Agents and Artificial Intelligence, ICAART 2016
Country/TerritoryItaly
CityRome
Period24/02/1626/02/16

Keywords

  • Case-based agents
  • Case-based retrieval
  • Design support
  • Multi-agent systems

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