What is agent-based modeling example? There are many possible examples of agent-based modeling. One example can be seen in the development of self-driving cars. These vehicles use a combination of sensors, internal memory, and pre-programmed rules to create an internal model of their environment...
Agent-based modeling investigates aggregate phenomena by simulating the behavior of individual "agents," such as consumers or organizations. Some useful examples of agent-based modeling have been published in marketing journals, but widespread acceptance of the agent-based modeling method and publication ...
“Agent Based Modeling (ABM) has been instrumental in several circular economy analysis projects at NREL. It has helped us to identify the potential barriers and enablers toincreasing the circularity of renewable energy technologies, such aswind turbines and photovoltaic panels.” Julien ...
To this end, we define agent-based modeling and offer potential uses for it in typical evaluation activities, including: engaging stakeholders, selecting an intervention, modeling program theory, setting performance targets, and interpreting evaluation results. We provide demonstrative examples from ...
2021年,知名学者Li An等人在Ecological Modeling杂志发表综述文章《Challenges, tasks, and opportunities in modeling agent-based complex systems》,对基于Agent的复杂系统建模当前面临的挑战、任务和新发展机遇等作了系统评述,并在文末呼吁建立一门新的基于Agent的复杂系统...
In this paper, we discuss agent-based modeling as an open-source, accessible, and inclusive resource to substitute for lost fieldwork during COVID-19 and for future scenarios of travel restrictions such as climate change and economic downturn. We describe the benefits of Agent-Based models as ...
ABM, or Agent-Based Modeling, is a computational approach in the realm of social sciences, characterized by its ability to simulate complex social phenomena by modeling individual actors and their interactions. This technology has gained prominence, especially during the COVID-19 pandemic,...
This article provides an overview of the current state of agent-based modeling in managerial science. In particular, the aim is to illustrate major lines o
Thousands of people are reported lost in the wilderness in the United States every year and locating these missing individuals as rapidly as possible depends on coordinated search and rescue (SAR) operations. As time passes, the search area grows, surviv
Agent-based modeling and simulation have evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents. Recently, integrating large language models into agent-based modeling and s