![]() ![]() The process is one of emergence, which some express as "the whole is greater than the sum of its parts". Īgent-based models are a kind of microscale model that simulate the simultaneous operations and interactions of multiple agents in an attempt to re-create and predict the appearance of complex phenomena. ![]() Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems. A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science. Particularly within ecology, ABMs are also called individual-based models ( IBMs). Monte Carlo methods are used to understand the stochasticity of these models. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. An agent-based model ( ABM) is a computational model for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) in order to understand the behavior of a system and what governs its outcomes. ![]()
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