DocumentCode
1923411
Title
Uml-Based Representational Re-Description of Concept Development
Author
Wei, Hui ; He, Wen ; Chen, Yan
Author_Institution
Fudan Univ., Shanghai
Volume
1
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
131
Lastpage
139
Abstract
Knowledge-based problem solving requires a conceptual system that is comparatively rich and complete, especially when the problem is domain unrestrictive. The methods about knowledge acquisition, representation and usage in classical Knowledge Engineering can only adapt themselves to domain restricted problems. This is because it doesn´t take a developmental view to construct conceptual system and consequently it is confronted with Framework Problem. In Cognitive Psychology, the study of conceptual system has an in-depth cognitive investigate on issues of development and representation. However, there lack investigations on the details of system construction and realization. Based on the theory of Developmental Psychology, this paper proposes an object-based representation method for conceptual system, focusing on the representation and development of concepts on four levels: Implicit (I), Explicit 1 (E1), Explicit 2 (E2) and Explicit 3 (E3) representations. It will contribute well to the adaptability and flexibility in the reasoning and problem solving of knowledge-based systems.
Keywords
Unified Modeling Language; knowledge acquisition; knowledge representation; UML-based representational redescription; concept development; framework problem; knowledge acquisition; knowledge representation; knowledge-based problem solving; Artificial intelligence; Cognition; Cybernetics; Knowledge based systems; Knowledge engineering; Knowledge representation; Machine learning; Machine learning algorithms; Problem-solving; Psychology; Artificial intelligence; Concept acquisition; Learning; Representational re-description;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370128
Filename
4370128
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