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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Showing 1 to 2 of 2 (0.072 seconds)

Spelling suggestions: "subject:"multiagent.systems"" "subject:"multitangent.systems""

1

Cooperation in self-organized heterogeneous swarms

Moritz, Ruby Louisa Viktoria 23 March 2015 (has links) (PDF)
Cooperation in self-organized heterogeneous swarms is a phenomenon from nature with many applications in autonomous robots. I specifically analyzed the problem of auto-regulated team formation in multi-agent systems and several strategies to learn socially how to make multi-objective decisions. To this end I proposed new multi-objective ranking relations and analyzed their properties theoretically and within multi-objective metaheuristics. The results showed that simple decision mechanism suffice to build effective teams of heterogeneous agents and that diversity in groups is not a problem but can increase the efficiency of multi-agent systems.
Multi-agent systeme
multi-kriterielle Optimierung
k[ünstliche Intelligenz
Schwarmintelligenz
Multi-agent.systems
multi-objective optimization
artificial intelligence
swarm intelligence
ddc:000
2

Cooperation in self-organized heterogeneous swarms

Moritz, Ruby Louisa Viktoria 26 February 2015 (has links)
Cooperation in self-organized heterogeneous swarms is a phenomenon from nature with many applications in autonomous robots. I specifically analyzed the problem of auto-regulated team formation in multi-agent systems and several strategies to learn socially how to make multi-objective decisions. To this end I proposed new multi-objective ranking relations and analyzed their properties theoretically and within multi-objective metaheuristics. The results showed that simple decision mechanism suffice to build effective teams of heterogeneous agents and that diversity in groups is not a problem but can increase the efficiency of multi-agent systems.
info:eu-repo/classification/ddc/000
ddc:000

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