Retail banking e-services management optimization research for real-time decision support using BDI software agents

被引：0

作者：

Dilijonas, Darius ^{[1
,2
]}

Zavrid, Dmitrij ^{[2
]}

机构：

[1] Vilnius Univ, Kaunas Fac Humanities, Muitines G 8, LT-44280 Kaunas, Lithuania

[2] JSC Penkiu Kontinentu Bankines Technol, LT-08221 Vilnius, Lithuania

来源：

20TH INTERNATIONAL CONFERENCE, EURO MINI CONFERENCE CONTINUOUS OPTIMIZATION AND KNOWLEDGE-BASED TECHNOLOGIES, EUROPT'2008 | 2008年

关键词：

retail banking; ATM; electronic services optimization; agent technologies; artificial intelligence; reasoning agents; BDI agents;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We had already done analysis of technologies capabilities for solving implementation and optimization problems of ATM cash and support management system. There are mainstream technologies to implement agent oriented systems (J2EE, JADE). A computational intelligence method ANN (artificial neural networks) solves cash forecasting problems. We made ATMs cash management optimization more sensible, via combination of agent technologies and ANN methods capabilities. Going further this article covers architectural issues of retail banking e-services business logic implementation by considering reasoning software agent's capabilities exploration and agent technologies integration into ATM cash management and support system.

引用

页码：119 / +

页数：3

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