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dc.contributor.advisorTufte, Gunnarnb_NO
dc.contributor.authorJahren, Ole Henriknb_NO
dc.date.accessioned2014-12-19T13:40:23Z
dc.date.available2014-12-19T13:40:23Z
dc.date.created2013-10-15nb_NO
dc.date.issued2012nb_NO
dc.identifier656454nb_NO
dc.identifierntnudaim:5916nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/253427
dc.description.abstractIn the fields of cellular automata and complex systems, emergence isoften used as an interpretation of system behaviour. Computation and theresulting output are both products of the systems trajectory in the basinof attraction, where the output data is a point or cyclic attractor. Assuch, the system outputs only a single variable, the states of all unitsin the system. This work diverges from the norm on two aspect. Instead ofexploring Cellular Automata as the computational architecture, BooleanNetworks, a specialisation of the more generalised Discrete DynamicNetworks, will be used. Secondly, a different approach in interpretingthe behaviour is taken. Instead of looking directly at the state of thesystem, the trajectory in the basin of attraction is instead transformedto a frequency-power spectrum representing the system output. This allowsan easy interpretation of the output (peeks) to several output variables,were each variables can be given as the power at different frequenciesin the frequency-power spectrum.Because of the difficulty in programming, i.e. designing, Discrete DynamicNetworks with the desired characteristics, a Genetic Algorithm will beused to evolve the networks. This thesis takes an experimental approach,evolving Discrete Dynamic Networks capable of producing differentnumber of peaks in the frequency-power spectrum. The results show thatDiscrete Dynamic Network exhibiting the desired emergent behaviour weresuccessfully evolved.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.titleEmergent Behaviour in the Frequency-Power Spectrum of Discrete Dynamic Networksnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber72nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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