Authors:
Viktor Ayzenshtadt
1
;
Christoph Langenhan
2
;
Saqib Bukhari
3
;
Klaus-Dieter Althoff
1
;
Frank Petzold
2
and
Andreas Dengel
3
Affiliations:
1
University of Hildesheim and German Research Center for Artificial Intelligence (DFKI), Germany
;
2
Technical University of Munich, Germany
;
3
German Research Center for Artificial Intelligence (DFKI), Germany
Keyword(s):
Multi-Agent Systems, Case-Based Agents, Case-Based Retrieval, Design Support.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
AI and Creativity
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Case-Based Reasoning
;
Cooperation and Coordination
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Pattern Recognition
;
SOA and Software Agents
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
;
Theory and Methods
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.