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Title: Agent-oriented conceptual models and architecture development for intelligent financial decision support systems
Other Titles: Ji yu zhi neng dai li de jin rong jue ce zhi yuan xi tong de gai nian mo xing he jie gou kai fa
Authors: Wang, Yingfeng (王莹峰)
Department: Dept. of Information Systems
Degree: Master of Philosophy
Issue Date: 2006
Publisher: City University of Hong Kong
Subjects: Decision support systems
Finance -- Decision making -- Data processing
Intelligent agents (Computer software)
Notes: CityU Call Number: QA76.76.I58 W36 2006
Includes bibliographical references (leaves 131-151)
Thesis (M.Phil.)--City University of Hong Kong, 2006
x, 151 leaves : ill. ; 30 cm.
Type: Thesis
Abstract: Modern financial world has become heavily dependent on technology. People are facing all kinds of complicated, dynamic and distributed problems all the time. The demand for computer-based financial decision support services is rising dramatically. Under this circumstance, numerous different kinds of decision support systems (DSSs) have been researched, designed and implemented in almost every financial aspect, including portfolio risk management, automated securities trading, family financial planning, anti-money laundering, and etc. However, there are certain drawbacks among existing financial DSSs (FDSSs). Some are suffering from their lack of popularity, flexibility, adaptability and collaboration. In order to solve these problems, intelligent agent technology is applied in this research to deal with the complex, uncertain, and inevitable real world financial problems. Even those intelligent financial decision support systems (IFDSSs), which are claimed to be intelligent enough to overcome these common problems, are constructed without solid theoretical support. In order to solve these problems, agent-oriented conceptual models are proposed for providing a unified framework for analysis, design and implementation of IFDSSs. Furthermore, a multi-agent system architecture is also designed by applying the model. Modeling is an essential aspect of information systems development. Indeed, an information system can be viewed as a representation, or a model, of another system (usually termed the real system). Modeling is especially important in the analysis stage of systems development when abstract models of the represented system and its organizational environment are created. Such models are termed conceptual models. A conceptual model should reflect knowledge about the application domain rather than about the implementation of the information system. Conceptual modeling has been defined as a formal description of “some aspects of the physical or social reality for the purpose of understanding and communicating” (Mylopoulos, 1992). This study depicts the conceptual models for IFDSSs, including the more general and high-level decision making process model, and the derived conceptual model for IFDSSs in semantic schema containing the overall knowledge representations. To demonstrate the usability and effectiveness of the model and the system architecture proposed, and possible development mechanism is discussed. Moreover applications in two applicable financial domains are presented in the study, including family financial planning system (Gao, Wang, and et al., 2004; Gao, Wang, and et al., 2005; Gao, Wang, and et al., 2006a; Gao, Wang, and et al., 2006c;) and anti-money laundering system (Gao, Wang, and et al., 2006b; Wang et al., 2006). In each application domain, mapping model and architecture are provided and discussed in detail, and prototype system is designed and implemented, and evaluated. The major contributions of this research are the theoretical investigations of the decision making process in different financial domains and the general framework for design and implementation of intelligent financial decision support systems. This study starts from the high-level conceptual modeling of the domain knowledge, on basis of the knowledge representation and in-depth understanding of the general financial problems, and then develops the system architecture. Afterward, applications in different applicable domains are discussed so that the conceptual models and system architecture are validated and evaluated.
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