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Decision Making System based on Collaborative Agents

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dc.contributor.author TURCAN, Ana
dc.contributor.author BOROZAN, Olesea
dc.contributor.author ABABII, Victor
dc.contributor.author SUDACEVSCHI, Viorica
dc.contributor.author MUNTEANU, Silvia
dc.date.accessioned 2022-12-28T15:05:16Z
dc.date.available 2022-12-28T15:05:16Z
dc.date.issued 2022
dc.identifier.citation TURCAN, Ana, BOROZAN, Olesea, ABABII, Victor et al. Decision Making System based on Collaborative Agents. In: Electronics, Communications and Computing (IC ECCO-2022): 12th intern. conf., 20-21 Oct. 2022, Chişinău, Republica Moldova: conf. proc., Chişinău, 2022, pp. 257-260. en_US
dc.identifier.uri https://doi.org/10.52326/ic-ecco.2022/CE.09
dc.identifier.uri http://repository.utm.md/handle/5014/21869
dc.description.abstract In this paper are presented the results of research done in the system projecting and research for making informed decisions based on the collaborative Agents. The mathematical model used in this research had the goal to find an optimal solution in a multi-objective space by using methods inspired by nature, especially evolutional calculus algorithms. The calculus system’s architecture consists of two sets of Agents: agents that deliver data and information, and Agents that consume it. The interconnection process between Agents is a dynamic one which evolves in time and it determines the topology of the calculus system. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject collaborative agents en_US
dc.subject mathematical models en_US
dc.subject multi-objective spaces en_US
dc.subject decision making en_US
dc.subject swarm intelligence en_US
dc.subject solution search en_US
dc.subject self-reconfigurable computing architecture en_US
dc.title Decision Making System based on Collaborative Agents en_US
dc.type Article en_US


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  • 2022
    Proceedings of the 12th IC|ECCO; October 20-21, 2022

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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