An Effective Communication Framework For Inter-Agent Communication In a Complex Adaptive System With Application To Biology

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dc.contributor.authorSinghal, Ankiten
dc.contributor.committeechairSantos, Eunice E.en
dc.contributor.committeememberArthur, James D.en
dc.contributor.committeememberSantos, Eugene Jr.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T20:48:13Zen
dc.date.adate2006-12-20en
dc.date.available2014-03-14T20:48:13Zen
dc.date.issued2006-11-14en
dc.date.rdate2006-12-20en
dc.date.sdate2006-11-21en
dc.description.abstractMulti-Agent Systems (MASs) and Partial and Ordinary Differential Equations (PDEs and ODEs respectively) have often been employed by researchers to effectively model and simulate Complex Adaptive Systems (CASs). PDEs and ODEs are reduction based approaches which view the system globally and ignore any local interactions and processes. MASs are considered by many to be a better tool to model CASs, but have issues as well. Case in point, there is concern that present day MASs fail to capture the true essence of inter-cellular communication in a CAS. In this work we present a realistic and utilizable communication framework for inter-agent communication for a CAS simulation. We model the dynamic properties of the communication signals and show that our model is a realistic model for inter-cellular communication. We validate our system by modeling and simulating pattern formation in Dictyostelium discoideum, a unicellular organism.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-11212006-144052en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11212006-144052/en
dc.identifier.urihttp://hdl.handle.net/10919/35787en
dc.publisherVirginia Techen
dc.relation.haspartSinghalAnkit_MSThesis_V2.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectComplex Adaptive Systemen
dc.subjectMulti-Agent Systemen
dc.subjectDictyostelium discoideumen
dc.subjectAgenten
dc.titleAn Effective Communication Framework For Inter-Agent Communication In a Complex Adaptive System With Application To Biologyen
dc.typeThesisen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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