Anylogic brasil
Agent-based modeling: methods and techniques for simulating human systems. The micro-entities, referred to as “agents”, are anything that alters its behavior in response to input from other agents and the environment 6 6. The model is run over time and repeated numerous times, to obtain a distribution of possible outcomes for the specified system. Stochasticity can be included in the assignment of agent characteristics and in determining which agents interact and how agents obtain information and make decisions. Agents are given traits and initial behavior rules that organize their actions and interactions. A spatial agent-based model for the simulation of adults’ daily walking within a city. Yang Y, Diez Roux AV, Auchincloss AH, Rodriguez DA, Brown DG. One tool that has been increasingly used to examine urban health issues is agent-based modeling (ABM) 4 4. – an exercise that would be impossible to do by collecting and analyzing real-world data. Learning from evidence in a complex world.
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In particular, system simulation approaches are useful tools for understanding processes and structures involved in complex problems, identifying high-leverage points in the system and evaluating hypothetical interventions 1 1. Conceptual approaches to the study of health disparities. Shaping cities for health: complexity and the planning of urban environments in the 21st century. Rydin Y, Bleahu A, Davies M, Davila JD, Friel S, De Grandis G, et al. and in using systems modeling tools to explore how components of a complex problem interact, are sustained or changed, and ultimately identify areas for intervention 2 2.
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Among urban health researchers, there is growing interest in conceptualizing complex problems using a system framework 1 1.