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Social simulation is a research field that applies computational methods to study issues in the social sciences.The issues explored include problems in computational law, psychology, [1] organizational behavior, [2] sociology, political science, economics, anthropology, geography, engineering, [2] archaeology and linguistics (Takahashi, Sallach & Rouchier 2007).
Agent-based social simulation (or ABSS) [1] [2] consists of social simulations that are based on agent-based modeling, and implemented using artificial agent technologies. Agent-based social simulation is a scientific discipline concerned with simulation of social phenomena , using computer-based multiagent models.
To demonstrate their findings on the field of agent-based simulation, a model was created and distributed with their book on CD-ROM. The concept of this model has come to be known as "the Sugarscape model". [1] Since then, the name "Sugarscape" has been used for agent-based models using rules similar to those defined by Epstein & Axtell.
Recent work on the Modeling and simulation of Complex Adaptive Systems has demonstrated the need for combining agent-based and complex network based models. [ 21 ] [ 22 ] [ 23 ] describe a framework consisting of four levels of developing models of complex adaptive systems described using several example multidisciplinary case studies:
Model-driven approach focuses on model building and finding universal laws which govern human behavior in societies, for example social simulations or social physics. Digital society-focused approach , where computational social scientists seek to address problems emerging in algorithmic society, such as algorithmic bias .
Schelling's model of segregation is an agent-based model developed by economist Thomas Schelling. [1] [2] Schelling's model does not include outside factors that place pressure on agents to segregate such as Jim Crow laws in the United States, but Schelling's work does demonstrate that having people with "mild" in-group preference towards their own group could still lead to a highly segregated ...
Human-in-the-loop simulation of outer space Visualization of a direct numerical simulation model. Historically, simulations used in different fields developed largely independently, but 20th-century studies of systems theory and cybernetics combined with spreading use of computers across all those fields have led to some unification and a more systematic view of the concept.
Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, behavioral, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.