Computer Simulation of Complex Systems

Computer simulations have become a useful part of mathematical modeling of many natural systems in physics (computational physics), astrophysics, climatology, chemistry and biology, human systems in economics, psychology, social science, and engineering. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new technology and to estimate the performance of systems too complex for analytical solutions.

Computer simulations vary from computer programs that run a few minutes to network-based groups of computers running for hours to ongoing simulations that run for days. The scale of events being simulated by computer simulations has far exceeded anything possible using traditional paper-and-pencil mathematical modeling. Following is the list of comprehensive topics in which we offer the quality solutions:

  • Cognitive modeling
  • Cognitive Science
  • Complex adaptive system
  • Complex networks
  • Complexity economics
  • Cybernetics
  • Decision engineering
  • Dual-phase evolution
  • Dynamical system
  • Dynamical systems theory
  • Emergence
  • Enterprise systems engineering
  • Generative sciences
  • Interdependent networks
  • Invisible hand
  • Mixed reality
  • Multi-agent system
  • Network Science
  • Nonlinearity
  • Pattern-oriented modeling
  • Percolation Theory
  • Process architecture
  • Self-organization
  • Sociology and complexity science
  • Systems theory
  • Volatility, uncertainty, complexity and ambiguity

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