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ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2018
Agent-based modeling is a newer approach to the study of neighborhoods and health. In brief, an agent-based model is one of a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities, such as organizations or groups) with a view to assessing their effects on the system as a ...
Brenda Heaton +2 more
semanticscholar +3 more sources
Agent-based modeling is a newer approach to the study of neighborhoods and health. In brief, an agent-based model is one of a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities, such as organizations or groups) with a view to assessing their effects on the system as a ...
Brenda Heaton +2 more
semanticscholar +3 more sources
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 analyses away from structural and aggregate factors, to the role of ...
BIANCHI, Federico, SQUAZZONI, Flaminio
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2021
Agent-based modeling (ABM) has become widely accepted as a methodological tool to model and simulate dynamic processes of geographical phenomena. A growing number of ABM studies across a variety of domains and disciplines is partially explained by the development of agent-modeling tools and platforms, the availability of micro-data, and the advancement
Jessica S. Yu, Neda Bagheri
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Agent-based modeling (ABM) has become widely accepted as a methodological tool to model and simulate dynamic processes of geographical phenomena. A growing number of ABM studies across a variety of domains and disciplines is partially explained by the development of agent-modeling tools and platforms, the availability of micro-data, and the advancement
Jessica S. Yu, Neda Bagheri
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ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2017
A. Mourougane
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A. Mourougane
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2013
In this chapter, we describe the main characteristics of agent-based modelling. Agent-based modelling is a computational method that enables researchers to create, analyse, and experiment with models composed of autonomous and heterogeneous agents that interact within an environment, in order to identify the mechanisms that bring about some macroscopic
Corinna Elsenbroich, Nigel Gilbert
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In this chapter, we describe the main characteristics of agent-based modelling. Agent-based modelling is a computational method that enables researchers to create, analyse, and experiment with models composed of autonomous and heterogeneous agents that interact within an environment, in order to identify the mechanisms that bring about some macroscopic
Corinna Elsenbroich, Nigel Gilbert
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2009
Abstract This article provides a discussion on agent-based modeling. Two examples that show the ability of computational methods to extend game-theoretic results are presented. It then discusses modeling agents, modeling agent interactions, and system behaviour.
Scott de Marchi, Scott E. Page
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Abstract This article provides a discussion on agent-based modeling. Two examples that show the ability of computational methods to extend game-theoretic results are presented. It then discusses modeling agents, modeling agent interactions, and system behaviour.
Scott de Marchi, Scott E. Page
openaire +1 more source
Empirically grounded agent-based models of innovation diffusion: a critical review
Artificial Intelligence Review, 2016Innovation diffusion has been studied extensively in a variety of disciplines, including sociology, economics, marketing, ecology, and computer science. Traditional literature on innovation diffusion has been dominated by models of aggregate behavior and
Haifeng Zhang, Yevgeniy Vorobeychik
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