Title page for ETD etd-11212006-144052

Type of Document Master's Thesis
Author Singhal, Ankit
Author's Email Address asinghal@vt.edu
URN etd-11212006-144052
Title An Effective Communication Framework For Inter-Agent Communication In a Complex Adaptive System With Application To Biology
Degree Master of Science
Department Computer Science
Advisory Committee
Advisor Name Title
Santos, Eunice E. Committee Chair
Arthur, James D. Committee Member
Santos, Eugene Jr. Committee Member
  • Complex Adaptive System
  • Multi-Agent System
  • Dictyostelium discoideum
  • Agent
Date of Defense 2006-11-14
Availability unrestricted
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.
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