Building agent-based hybrid intelligent systems : a case study
Data(s) |
01/09/2007
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Resumo |
Many complex problems (e.g., financial investment planning, foreign exchange trading, data mining from large/multiple databases) require hybrid intelligent systems that integrate many intelligent techniques (e.g., fuzzy logic, neural networks, and genetic algorithms). However, hybrid intelligent systems are difficult to develop because they have a large number of parts or components that have many interactions. On the other hand, agents offer a new and often more appropriate route to the development of complex systems, especially in open and dynamic environments. Thus, this paper discusses the development of an agent-based hybrid intelligent system for financial investment planning, in which a great number of heterogeneous computing techniques/packages are easily integrated into a unifying agent framework. This shows that agent technology can indeed facilitate the development of hybrid intelligent systems.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
IOS Press |
Relação |
http://dro.deakin.edu.au/eserv/DU:30007241/zhang-buildingagentbased-2007.pdf http://search.ebscohost.com/login.aspx?direct=true&db=a2h&AN=27060473&site=ehost-live |
Direitos |
2007, IOS Press and the authors |
Palavras-Chave | #multi-agent systems #intelligent agents #agent-based systems #hybrid intelligent systems #financial investment planning |
Tipo |
Journal Article |