An architecture of multiple heterogeneous case-based reasoning employing agent technologies
Petridis, Miltos and Teodorescu, Elena I. (2008) An architecture of multiple heterogeneous case-based reasoning employing agent technologies. CIMA'08: Combinations of Intelligent Methods and Applications, 375. pp. 65-68. ISSN 1613-0073Full text not available from this repository.
This paper presents an investigation into applying
Case-Based Reasoning to Multiple Heterogeneous Case
Bases using agents. The adaptive CBR process and the architecture of the system are presented. A case study is presented to illustrate and evaluate the approach. The process of creating and maintaining the dynamic data structures is discussed. The similarity metrics employed by the system are used to support the process of optimisation of the collaboration between the agents which is based on the use of a blackboard architecture. The blackboard architecture is shown to support the efficient collaboration between the agents to achieve an efficient overall CBR solution, while using case-based reasoning methods to allow the overall system to adapt and “learn” new collaborative strategies for achieving the aims of the overall CBR problem solving process.
|Additional Information:||This paper forms part of the Proceedings of the 1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA '08), which ran in conjunction with the 18th European Conference on Artificial Intelligence (ECAI 2008), held 21-25 July 2008, Patras, Greece. The paper is freely available from the given Official URL.|
|Uncontrolled Keywords:||case-based reasoning (CBR), architecture, multiple heterogeneous case bases, agent technology|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|School / Department / Research Groups:||School of Computing & Mathematical Sciences|
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
|Last Modified:||31 Mar 2011 18:20|
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