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In last year there has been a growing interest in computational intelligence techniques applied to economics, providing support for financial decisions. In this paper we propose an intelligent decision support system, aimed at suggesting the best managing strategies for a game-based model of a virtual city. Two knowledge representation areas characterize the intelligent agent. The first one is a “deterministic” area, which deals with descriptions and deterministic events. The second one is a “decisional” area, which deals with decisions taken under conditions of uncertainty. The agent is capable of reasoning in order to prospect the future evolutions of particular choices taken by the user. The interaction is conducted through a natural language interface built as an Alice-based conversational agent.
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