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Methodological Approaches to Development and Implementation of Multi-agents Investment DSS Using JADE Platform

Computer Technology and Application 2014年第1期5卷 33-43页

作者： andrius jurgutis rimvydas simutis Department of Automation Kaunas University of Technology Kaunas 51367 Lithuania

In these latter days software agents are used for the development and implementation of intellectual decision support systems. In order to implement intelligence in a system some or several dozen of software agents are used and the made system becomes multi-agent. For the development of these systems a set of methodologies, i.e., the sequence of consequent steps of analysis, designing and implementation, is offered. The carried out analysis of the methodologies showed that as a rule they are limited by the spectrum of their pending problem （within the pales of the requirements of specific applied task, within the pales of the possibilities of technical implementation） or within the pales of amount of detail. The variety of methodologies is influenced by the fact that for the development of these systems the requirements and attitudes are offered by the specialists of related spheres such as software, numeral intellect engineers. In the course of the development of hardware and software appeared possibilities to implement mobile multi-agents systems, however, there is no one united mobile multi-agent systems design methodology, whereas existing systems are underdeveloped and their number is small. In this article we introduce the course of the designing of an intellectual real time multi-agent investment management decision support information system adapting and combining some methodologies where the choice to use either communicating or mobile agents is the question of rather technical implementation than methodological. In the article we introduce two ways of system implementation by JADE platform： the first one-using communicating agents, and the second one-using mobile agents.

关键词： Decision support system intelligent systems multi-agent systems knowledge based systems software agents.

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An Investment Portfolio Management Using Software Agents that Rely on Fuzzy Logic and with Different Decision Arguments Combinations

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Computer Technology and Application 2012年第12期3卷 808-817页

作者： andrius jurgutis rimvydas simutis The Treasury Department JSC Okio Bank Kaunas LT-44250 Lithuania The Department of Process Control Faculty of Electrical and Control Engineering Kaunas University of Technology Kaunas LT-51367. Lithuania

During the development of the intellectual multi-agent investment management information system （designed for the formation of investor＇s investment decisions）, it was established that there is a lack of both necessary comprehensive researches and analysis to invoke more than one decision-making aspect （argument） for the making of investment decision, and recommendations to combine these diverse parameters. It is possible to find a lot of articles and researches in which investment decisions or investment tactics are decided on the ground of either technical or fundamental analysis, or modeling and on the ground of intellectual calculating technique （for example, fuzzy logic, neural net, genetic programming）, whereas the issues of the coordination of different techniques are not decided at all. To fill this niche, the article offers the decision applied in multi-agent investment management information system which allows to provide rationale for investment decision taking into account four aspects （arguments）, i.e., to form the recommendation to purchase/hold/sell a security paper having evaluated the following four aspects （arguments）：（a） fundamental analysis, （b） technical analysis, （c） experts and analysts＇ recommendations and （d） risk assessment. These aspects （arguments） are chosen taking into account the real most commonly occurring process of investor＇s investment decision-making. The article gives the implementation of aspects （arguments） assessment by four corresponding software agents whose decisions are implemented with a help of fuzzy logic. Besides, the article offers the technique of the unification of these aspects （arguments）. The offered intellectual multi-agent investment management information system can be tested on the internet： ***/webapp （MADSYS project）.

关键词： Fuzzy logic portfolio management multi-agent systems.

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Investor＇s Portfolio Allocation by Financial Asset Classes Using Fuzzy Logic-Based Approach in Decision Support System

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Computer Technology and Application 2011年第10期2卷 757-764页

作者： andrius jurgutis rimvydas simutis Ausrine Jurgutiene The Treasury Department JSC Ukio Bank Kaunas LT-44250 Lithuania The Department of Process Control Faculty of Electrical and Control Engineering Kaunas University of Technology KaunasLT-51367 Lithuania The Department of Economics and International Trade Faculty of Economics and Management Kaunas University of TechnologyKaunas LT-51367 Lithuania

The paper present the fuzzy logic expert system called MADSYS for an investor＇s portfolio allocation by financial asset classes. MADSYS system will be used in the interface agent （agents） of multi-agent investment management information system. One of the principal tasks of the multi-agent system is to help an investor to make investment decisions and to provide appropriate investment proposals according to the investor＇s profile. From MADSYS depends a lot of things, namely the multi-agent investment management information system accuracy, proposed investment decisions, the right portfolio allocation of financial assets, reliability and investor satisfaction. The usage of MADSYS system in the multi-agent system makes it more intellectual, i.e. the system will be able to adjust automatically to the changing of investor profile. The MADSYS system may be tried online at the following address：*** ***/webapp.

关键词： Fuzzy logic portfolio allocation multi-agents system.

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