{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/35787"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/35787","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"An Effective Communication Framework For Inter-Agent Communication In a Complex Adaptive System With Application To Biology","abstract":"Multi-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.","abstract_html":"Multi-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.","abstract_has_math":false,"creators":["Singhal, Ankit"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Computer Science","degree_department":"Computer Science","school":null,"contributors":[],"advisors":[],"committee_chairs":["Santos, Eunice E."],"committee_members":["Arthur, James D.","Santos, Eugene Jr."],"year":2006,"date_issued":"2006-11-14","date_published":"2006-11-14","updated_at":"2026-07-22T22:19:15Z","subjects":["Complex Adaptive System","Multi-Agent System","Dictyostelium discoideum","Agent"],"languages":[],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-11212006-144052"],"render_values":[{"text":"etd-11212006-144052","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/35787","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Santos, Eunice E."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Arthur, James D.","Santos, Eugene Jr."]},{"key":"dc:contributor.department","label":"Department","values":["Computer Science"]},{"key":"dc:creator","label":"Author","values":["Singhal, Ankit"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-03-14T20:48:13Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-03-14T20:48:13Z","2006-12-20"]},{"key":"dc:date.issued","label":"Date","values":["2006-11-14"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Complex Adaptive System","Multi-Agent System","Dictyostelium discoideum","Agent"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-11212006-144052"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/35787"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Multi-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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:title","label":"Title","values":["An Effective Communication Framework For Inter-Agent Communication In a Complex Adaptive System With Application To Biology"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Santos, Eunice E."],"dc:contributor.committeemember":["Arthur, James D.","Santos, Eugene Jr."],"dc:contributor.department":["Computer Science"],"dc:creator":["Singhal, Ankit"],"dc:date.accessioned":["2014-03-14T20:48:13Z"],"dc:date.available":["2014-03-14T20:48:13Z","2006-12-20"],"dc:date.issued":["2006-11-14"],"dc:description.abstract":["Multi-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."],"dc:description.degree":["Master of Science"],"dc:identifier.other":["etd-11212006-144052"],"dc:identifier.uri":["http://hdl.handle.net/10919/35787"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Complex Adaptive System","Multi-Agent System","Dictyostelium discoideum","Agent"],"dc:title":["An Effective Communication Framework For Inter-Agent Communication In a Complex Adaptive System With Application To Biology"],"dc:type":["Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:19:15Z"}