Social Process Simulation

Why use population simulation?

Each year, millions of dollars are spent on studying the complicated nature of interactions in society. From corporations charting their own popularity among key demographics, to governments attempting to meet the changing societal needs of their citizens, the answers to these questions do not come easy. Furthermore, to be effective, these studies must be accurate.

Analysis methods like focus groups and targeted studies provide some insight, but they are limited and constrained. Often the results lead to solutions that lag the dynamically-changing issue they are meant to address. There is, however, a solution.

Agent based social simulation with AnyLogic offers decision makers exceptional freedom to explore the interactions driving the challenges faced by society today. A synthetic population of simulated agents can be used to forecast the urbanization of an area or study the effectiveness of healthcare policy proposals based on real-world data. Let agent based social simulation with AnyLogic help you tackle the questions you want to answer and get the results you need.

Simulating social processes and population dynamics is key to detailed analysis, valuable insights and effective research.

Model and simulate:

  • healthcare policy evaluation and scenario testing, including country scale models
  • macroeconomic systems, including individual economic agent behavior, to more precisely forecast future developments
  • environmental problems to choose mitigation policies and evaluate possible outcomes
  • other social processes, including those related to politics, administration, public opinion, or marketing

AnyLogic has a GSA Contract schedule #47QTCA18D007Q. Government agencies of the United States of America may purchase through GSA Advantage — AnyLogic or AnyLogic Team License.

Social process simulation case studies

Example social process simulation models

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Social process and population simulation with AnyLogic

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