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Agent-based social simulation
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<p>Agent-based social simulation (or ABSS) consists of <a href="/facts/Social_simulation/Aw9B4uVS">social simulations</a> that are based on <a href="/facts/Agent-based_model/C3C1vR8s">agent-based modeling</a>, and implemented using <a href="/facts/Intelligent_agent/8C2Q93Vw">artificial agent</a> technologies. Agent-based social simulation is a scientific discipline concerned with simulation of <a href="/facts/Social_phenomenon/bTETk75b">social phenomena</a>, using computer-based <a href="/facts/Multi-agent_system/A85vt3UA">multiagent</a> models. In these simulations, persons or group of persons are represented by agents. MABSS is a combination of <a href="/facts/Social_science/hAbm1xtD">social science</a>, multiagent simulation and <a href="/facts/Computer_simulation/Re6o8vzN">computer simulation</a>. </p><p>ABSS models the different elements of the social systems using artificial agents, (varying on scale) and placing them in a computer simulated society to observe the behaviors of the agents. From this data it is possible to learn about the reactions of the artificial agents and translate them into the results of non-artificial agents and simulations. Three main fields in ABSS are agent-based computing, social science, and computer simulation. </p><p>Agent-based computing is the design of the model and agents, while the computer simulation is the part of the simulation of the agents in the model and the outcomes. The social science is a mixture of sciences and social part of the model. It is where social phenomena are developed and theorized. The main purpose of ABSS is to provide models and tools for agent-based simulation of social phenomena. With ABSS, one can explore different outcomes of phenomena where it may not be possible to view the outcome in real life. It can provide us valuable information on society and the outcomes of social events or phenomena. </p>