Add to ORKGAgent Based Models (ABMs) have become extremely popular tools for simulating certain kinds of complex phenomena. They have strong advantages in terms of both programming and validation. However, the statistical properties of the outputs of such models have not received significant theoretical attention. This talk will review the field, and then describe opportunities for research contributions.unpublishednot peer reviewe
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classi...
Agent-based Models (ABMs) are gaining widespread recognition for their role in analyzing complex act...
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend...
Agent Based Models (ABMs) have become extremely popular tools for simulating certain kinds of comple...
In the 1990s, Agent-Based Modeling (ABM) began gaining popularity and represents a departure from th...
Agent-based models (ABMs) are an increasingly popular choice for simulating large systems of interac...
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of intera...
tio on 60 Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised...
Agent-based models (ABMs) have their origins in considerations of complexity science stipulating tha...
As an emerging approach to explore the dynamics of voter preference, agent-based modeling (ABM) high...
In the 1990s, Agent-Based Modeling (ABM) began gaining popularity and represents a departure from th...
Since the survey by Windrum et al. (Journal of Artificial Societies and Social Simulation 10:8, 2007...
While agent-based modeling (ABM) has become one of the most powerful tools in quantitative social sc...
Formalised models are simplified representations of empirical phenomena that help to abstract away e...
This book examines the use of agent-based modelling (ABM) in population studies,from concepts to app...
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classi...
Agent-based Models (ABMs) are gaining widespread recognition for their role in analyzing complex act...
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend...
Agent Based Models (ABMs) have become extremely popular tools for simulating certain kinds of comple...
In the 1990s, Agent-Based Modeling (ABM) began gaining popularity and represents a departure from th...
Agent-based models (ABMs) are an increasingly popular choice for simulating large systems of interac...
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of intera...
tio on 60 Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised...
Agent-based models (ABMs) have their origins in considerations of complexity science stipulating tha...
As an emerging approach to explore the dynamics of voter preference, agent-based modeling (ABM) high...
In the 1990s, Agent-Based Modeling (ABM) began gaining popularity and represents a departure from th...
Since the survey by Windrum et al. (Journal of Artificial Societies and Social Simulation 10:8, 2007...
While agent-based modeling (ABM) has become one of the most powerful tools in quantitative social sc...
Formalised models are simplified representations of empirical phenomena that help to abstract away e...
This book examines the use of agent-based modelling (ABM) in population studies,from concepts to app...
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classi...
Agent-based Models (ABMs) are gaining widespread recognition for their role in analyzing complex act...
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend...