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• W2163098981 abstract "Software agents have been successfully used in a vast range of applications. Agents have been gradually designed to act in open environments and to manage their cooperative and competitive interactions with other agents present in their environment. In a Multi-agent System (MAS), involving different agents operating individually to meet their design goals, conflict will be inevitable — it is not necessarily bad or good, but it is inevitable. Conflict is the focal point of interaction, i.e. the driving force of negotiation. Furthermore, conflict is the element that connects the individual and social behavior of agents. Software tools based on intelligent agents with negotiating capabilities have became important and pervasive. Particularly, there is a growing demand to develop MAS featuring bilateral contracts in liberalized Electricity Markets (EMs). This dissertation addresses, at least in part, this challenge by presenting the computational tool NSEM – Negotiation Simulator for Electricity Markets. NSEM features Belief-Desire-Intention agents able to effectively plan actions, manage conflicts, and trade proposals to reach mutually beneficial agreements. NSEM focuses on the preliminary activities that should come before negotiation, usually referred to as prenegotiation. These activities include the definition of the issues at stake, their prioritization, and the selection of an appropriate protocol and effective strategies. This dissertation presents details of NSEM’s implementation and test. NSEM was developed with the JAVA programming language and the JADE platform. Its test was performed by using a case study, featuring prenegotiation and actual negotiation of bilateral contracts in liberalized EMs." @default.
• W2163098981 created "2016-06-24" @default.
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• W2163098981 date "2012-01-01" @default.
• W2163098981 modified "2023-09-24" @default.
• W2163098981 title "Prenegotiation and Actual Negotiation in Electricity Markets" @default.
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• W2163098981 hasPublicationYear "2012" @default.
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