Title
Thinking With Containers: A Multi-Agent Retrieval Approach for the Case-Based Semantic Search of Architectural Designs.
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.
Year
DOI
Venue
2016
10.5220/0005683801490156
ICAART
Field
DocType
Citations 
Semantic search,Information retrieval,Computer science,Artificial intelligence,Machine learning
Conference
1
PageRank 
References 
Authors
0.37
2
6
Name
Order
Citations
PageRank
Viktor Ayzenshtadt171.97
Christoph Langenhan2334.00
Saqib Saqib Bukhari310.37
Klaus-dieter Althoff4991147.58
Frank Petzold5304.21
Andreas Dengel61926280.42