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Agent‐based models in sociology
WIREs Computational Statistics, 2015This article looks at 20 years of applications of agent‐based models ( ABMs ) in sociology and, in particular, their explanatory achievements and methodological insights. These applications have helped sociologists to examine agent interaction in social outcomes and have helped shift ...
BIANCHI, Federico, SQUAZZONI, Flaminio
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Agent based modeling of malaria
2014 IEEE Canada International Humanitarian Technology Conference - (IHTC), 2014This work explores the utility of an agent based model (ABM) for studying malaria prevalence and transmission. Malaria is a life-threatening disease caused by Plasmodium parasites that are transmitted to humans through the bites of infected female mosquitoes of the genus Anopheles.
Chathura Illangakoon +2 more
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International Journal of Geographical Information Science, 2006
The convergence of object‐oriented approaches to data modelling within geographic information science together with increasingly fine‐scale data collection approaches and discrete‐event simulations...
Daniel G. Brown 0002, Yichun Xie
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The convergence of object‐oriented approaches to data modelling within geographic information science together with increasingly fine‐scale data collection approaches and discrete‐event simulations...
Daniel G. Brown 0002, Yichun Xie
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An agent-based model for financial vulnerability [PDF]
Journal of Economic Interaction and Coordination, 2014 This study addresses a critical regulatory shortfall by developing a platform to extend stress testing from a microprudential approach to a dynamic, macroprudential approach. This paper describes the ensuing agent-based model for analyzing the vulnerability of the financial system to asset- and funding-based fire sales.
Rick Bookstaber +2 more
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Tutorial on agent-based modeling and simulation
Journal of Simulation, 2006Agent-based modelling and simulation (ABMS) is a relatively new approach to modelling systems composed of autonomous, interacting agents. Agent-based modelling is a way to model the dynamics of complex systems and complex adaptive systems. Such systems often self-organize themselves and create emergent order.
Charles M. Macal, Michael J. North
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KAIZEN for Agent-Based Modeling
2008This paper discusses the importance of continuous activities for improvement to promote the concepts of agent-based modeling of the social simulation to the other scientific communities. Because such a continuous process is similar to the one in manufacturing systems as KAIZEN activities, I utilize the concepts of KAIZEN to describe the prescriptions ...
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An Agent-Based Model for Crowd Simulation
2023In this paper, we propose an agent-based model for crowd simulation. It is made up of two types of agents that act differently: collaboratives, which share information about the paths and/or repair the ones that have been damaged, and defectors, who share no information, destroy some paths and/or nodes, and take advantage of the collaborative agents ...
Carolina Crespi +3 more
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Social Psychological and Personality Science, 2017
Agent-based modeling is a long-standing but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to precisely specify the behavior of any number of agents and observe their interactions over ...
Jackson, Joshua Conrad +4 more
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Agent-based modeling is a long-standing but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to precisely specify the behavior of any number of agents and observe their interactions over ...
Jackson, Joshua Conrad +4 more
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2001
The agent-based systems have emerged from the necessity to manage complexity. Building reliable, maintainable, extensible, and re-usable systems that conform to their specifications requires modeling techniques that support abstraction, structuring, and modularity.
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The agent-based systems have emerged from the necessity to manage complexity. Building reliable, maintainable, extensible, and re-usable systems that conform to their specifications requires modeling techniques that support abstraction, structuring, and modularity.
openaire +1 more source