An agent based framework for Multiple, Heterogeneous Case Based Reasoning

Elena Irena Teodorescu; Miltiadis Petridis

doi:10.1007/978-3-642-39056-2_23

An agent based framework for Multiple, Heterogeneous Case Based Reasoning

Elena Irena Teodorescu, Miltiadis Petridis

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

This paper investigates the application of Multiple, Heterogeneous Case Based Reasoning (MHCBR) using agents operating on different structures/views of the problem domain in a transparent and autonomous way to retrieve solutions for a new problem from more than one case-base. An MHCBR framework is proposed. This framework includes sub-processes for subscribing of provider case-bases through agents, creating a dynamic structure, and retrieving solutions by using agents and employing a Blackboard communication architecture. A mechanism based on the competence of a provider case base is introduced to improve MHCBR performance. A negotiation system to support the retrieval process from each source case base of the MHCBR is proposed. ProMHCBR, a MHCBR system employing agents is discussed and an experimental evaluation of this system is presented.

Original language	English
Title of host publication	Proceedings of the 21st International Conference, ICCBR 2013
Place of Publication	Berlin Heidelberg
Publisher	Springer
Pages	314-328
Number of pages	15
Volume	7969
ISBN (Electronic)	9783642390562
ISBN (Print)	9783642390555
DOIs	https://doi.org/10.1007/978-3-642-39056-2_23
Publication status	Published - 1 Jun 2013
Event	Proceedings of the 21st International Conference, ICCBR 2013 - Saratoga Springs, NY, USA, 8-11 July, 2013 Duration: 1 Jun 2013 → …

Publication series

Name	Lecture Notes in Computer Science

Conference

Conference	Proceedings of the 21st International Conference, ICCBR 2013
Period	1/06/13 → …

Keywords

Heterogeneous Case Bases
Multiple Case based Reasoning
dynamic CBR structure
Multiple CBR framework
Blackboard Systems
Intelligent agents

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http://link.springer.com/chapter/10.1007/978-3-642-39056-2_23Licence: Unspecified

Cite this

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title = "An agent based framework for Multiple, Heterogeneous Case Based Reasoning",

abstract = "This paper investigates the application of Multiple, Heterogeneous Case Based Reasoning (MHCBR) using agents operating on different structures/views of the problem domain in a transparent and autonomous way to retrieve solutions for a new problem from more than one case-base. An MHCBR framework is proposed. This framework includes sub-processes for subscribing of provider case-bases through agents, creating a dynamic structure, and retrieving solutions by using agents and employing a Blackboard communication architecture. A mechanism based on the competence of a provider case base is introduced to improve MHCBR performance. A negotiation system to support the retrieval process from each source case base of the MHCBR is proposed. ProMHCBR, a MHCBR system employing agents is discussed and an experimental evaluation of this system is presented.",

keywords = "Heterogeneous Case Bases, Multiple Case based Reasoning, dynamic CBR structure, Multiple CBR framework, Blackboard Systems, Intelligent agents",

author = "Teodorescu, {Elena Irena} and Miltiadis Petridis",

year = "2013",

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series = "Lecture Notes in Computer Science",

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booktitle = "Proceedings of the 21st International Conference, ICCBR 2013",

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Teodorescu, EI & Petridis, M 2013, An agent based framework for Multiple, Heterogeneous Case Based Reasoning. in Proceedings of the 21st International Conference, ICCBR 2013. vol. 7969, Lecture Notes in Computer Science, Springer, Berlin Heidelberg, pp. 314-328, Proceedings of the 21st International Conference, ICCBR 2013, 1/06/13. https://doi.org/10.1007/978-3-642-39056-2_23

An agent based framework for Multiple, Heterogeneous Case Based Reasoning. / Teodorescu, Elena Irena; Petridis, Miltiadis.
Proceedings of the 21st International Conference, ICCBR 2013. Vol. 7969 Berlin Heidelberg: Springer, 2013. p. 314-328 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

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N2 - This paper investigates the application of Multiple, Heterogeneous Case Based Reasoning (MHCBR) using agents operating on different structures/views of the problem domain in a transparent and autonomous way to retrieve solutions for a new problem from more than one case-base. An MHCBR framework is proposed. This framework includes sub-processes for subscribing of provider case-bases through agents, creating a dynamic structure, and retrieving solutions by using agents and employing a Blackboard communication architecture. A mechanism based on the competence of a provider case base is introduced to improve MHCBR performance. A negotiation system to support the retrieval process from each source case base of the MHCBR is proposed. ProMHCBR, a MHCBR system employing agents is discussed and an experimental evaluation of this system is presented.

AB - This paper investigates the application of Multiple, Heterogeneous Case Based Reasoning (MHCBR) using agents operating on different structures/views of the problem domain in a transparent and autonomous way to retrieve solutions for a new problem from more than one case-base. An MHCBR framework is proposed. This framework includes sub-processes for subscribing of provider case-bases through agents, creating a dynamic structure, and retrieving solutions by using agents and employing a Blackboard communication architecture. A mechanism based on the competence of a provider case base is introduced to improve MHCBR performance. A negotiation system to support the retrieval process from each source case base of the MHCBR is proposed. ProMHCBR, a MHCBR system employing agents is discussed and an experimental evaluation of this system is presented.

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KW - Multiple Case based Reasoning

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KW - Multiple CBR framework

KW - Blackboard Systems

KW - Intelligent agents

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M3 - Conference contribution with ISSN or ISBN

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An agent based framework for Multiple, Heterogeneous Case Based Reasoning

Abstract

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Conference

Keywords

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