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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).
Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.
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.
One of the earliest agent-based models in concept was Thomas Schelling's segregation model, [6] which was discussed in his paper "Dynamic Models of Segregation" in 1971. . Though Schelling originally used coins and graph paper rather than computers, his models embodied the basic concept of agent-based models as autonomous agents interacting in a shared environment with an observed aggregate ...
The World as a Process: Simulations in the Natural and Social Sciences, in: R. Hegselmann et al. (eds.), Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View, Theory and Decision Library. Dordrecht: Kluwer 1996, 77-100. Research in simulation and modelling of various physical systems
Modeling and simulation are important in research. Representing the real systems either via physical reproductions at smaller scale, or via mathematical models that allow representing the dynamics of the system via simulation, allows exploring system behavior in an articulated way which is often either not possible, or too risky in the real world.
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.
Computer simulation is a prominent method in organizational studies and strategic management. [1] While there are many uses for computer simulation (including the development of engineering systems inside high-technology firms), most academics in the fields of strategic management and organizational studies have used computer simulation to understand how organizations or firms operate.