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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 ...
The Modeling and Simulation Body of Knowledge (M&S BoK) is the domain of knowledge (information) and capability (competency) that identifies the modeling and simulation community of practice and the M&S profession, industry, and market. [13]
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.
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.
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
Informal methods are not less effective than formal methods and should be performed with the same discipline and structure that one would expect in "formal" methods. When executed properly, solid conclusions can be made. [2] In modeling and simulation, verification techniques are used to analyze the state of the model.
Latent space models (Sarkar and Moore, 2005) [3] and agent-based simulation are often used to examine dynamic social networks (Carley et al., 2009). [4] From a computer simulation perspective, nodes in DNA are like atoms in quantum theory, nodes can be, though need not be, treated as probabilistic.