Using Intelligent Agents in e-Government for Supporting Decision Making About Service Proposals

نویسندگان

  • Pasquale De Meo
  • Giovanni Quattrone
  • Domenico Ursino
چکیده

This paper aims at studying the possibility of exploiting the Intelligent Agent technology in e-government for supporting the decision making activity of government agencies. Specifically, it proposes a system to assist managers of a government agency, who plan to propose a new service, to identify those citizens that could gain the highest benefit from it. The paper illustrates the proposed system and reports some experimental results.

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تاریخ انتشار 2006