Knowledge Component of a Multiagent Distributed Decision Support System
We have developed a distributed DSS capable to working in a dynamic way. That is, when a domain of an organization needs a new kind of information, the system looks for this information. This system is based on the usage of mobile agents, which receive the user's queries and visit the appropria...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Centro Latinoamericano de Estudios en Informática
2002-06-01
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| Series: | CLEI Electronic Journal |
| Subjects: | |
| Online Access: | http://clei.org/cleiej-beta/index.php/cleiej/article/view/359 |
| _version_ | 1818556286704287744 |
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| author | Georgina Stegmayer María Laura Caliusco Omar Chiotti María Rosa Galli |
| author_facet | Georgina Stegmayer María Laura Caliusco Omar Chiotti María Rosa Galli |
| author_sort | Georgina Stegmayer |
| collection | DOAJ |
| description | We have developed a distributed DSS capable to working in a dynamic way. That is, when a domain of an organization needs a new kind of information, the system looks for this information. This system is based on the usage of mobile agents, which receive the user's queries and visit the appropriate DSS domains to gather the required information. The system itself must analyze where this information can be generated. To make this decision there is an intelligent agent (the Router) with a knowledge base (KB) where the information managed by each domain is represented. In this work, we present a strategy to obtain the initial data to be stored in the KB, a knowledge retrieval mechanism from the KB, and a learning mechanism so that the KB and the DSS operation can be continually improved. The proposed learning process is an interpretative case-based reasoning, which uses a set of rules to analyze the results of the information retrieval process and modifies the content of the router KB. Some examples are presented to illustrate the learning mechanism. |
| first_indexed | 2024-12-13T23:45:23Z |
| format | Article |
| id | doaj.art-702b8f0c95194485b8364c820ed8b068 |
| institution | Directory Open Access Journal |
| issn | 0717-5000 |
| language | English |
| last_indexed | 2024-12-13T23:45:23Z |
| publishDate | 2002-06-01 |
| publisher | Centro Latinoamericano de Estudios en Informática |
| record_format | Article |
| series | CLEI Electronic Journal |
| spelling | doaj.art-702b8f0c95194485b8364c820ed8b0682022-12-21T23:27:00ZengCentro Latinoamericano de Estudios en InformáticaCLEI Electronic Journal0717-50002002-06-015110.19153/cleiej.5.1.4Knowledge Component of a Multiagent Distributed Decision Support SystemGeorgina Stegmayer0María Laura Caliusco1Omar Chiotti2María Rosa Galli3GIDSATD-UTN ñ Facultad Regional Santa FeGIDSATD-UTN Facultad Regional Santa FeGIDSATD-UTN ñ Facultad Regional Santa FeGIDSATD-UTN ñ Facultad Regional Santa FeWe have developed a distributed DSS capable to working in a dynamic way. That is, when a domain of an organization needs a new kind of information, the system looks for this information. This system is based on the usage of mobile agents, which receive the user's queries and visit the appropriate DSS domains to gather the required information. The system itself must analyze where this information can be generated. To make this decision there is an intelligent agent (the Router) with a knowledge base (KB) where the information managed by each domain is represented. In this work, we present a strategy to obtain the initial data to be stored in the KB, a knowledge retrieval mechanism from the KB, and a learning mechanism so that the KB and the DSS operation can be continually improved. The proposed learning process is an interpretative case-based reasoning, which uses a set of rules to analyze the results of the information retrieval process and modifies the content of the router KB. Some examples are presented to illustrate the learning mechanism.http://clei.org/cleiej-beta/index.php/cleiej/article/view/359Dynamic DSSCase-Based ReasoningLearningIntelligent AgentKnowledge Retrieval |
| spellingShingle | Georgina Stegmayer María Laura Caliusco Omar Chiotti María Rosa Galli Knowledge Component of a Multiagent Distributed Decision Support System CLEI Electronic Journal Dynamic DSS Case-Based Reasoning Learning Intelligent Agent Knowledge Retrieval |
| title | Knowledge Component of a Multiagent Distributed Decision Support System |
| title_full | Knowledge Component of a Multiagent Distributed Decision Support System |
| title_fullStr | Knowledge Component of a Multiagent Distributed Decision Support System |
| title_full_unstemmed | Knowledge Component of a Multiagent Distributed Decision Support System |
| title_short | Knowledge Component of a Multiagent Distributed Decision Support System |
| title_sort | knowledge component of a multiagent distributed decision support system |
| topic | Dynamic DSS Case-Based Reasoning Learning Intelligent Agent Knowledge Retrieval |
| url | http://clei.org/cleiej-beta/index.php/cleiej/article/view/359 |
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