About this Research Topic
Agent-based models (ABMs) are a new very powerful tool for the numerical simulation of the dynamics of many complex systems. In the last decades, this new kind of modelling technique has seen many exciting interdisciplinary applications in a hugely diverse set of disciplines, ranging from Economics and the Social Sciences, to studies of animal behaviour, traffic congestion in big cities, and epidemics spreading.
In most of these disciplines, the level of detail captured by ABMs has skyrocketed over the years. For example, ABMs in Economics started with very stylized studies such as those of the Schelling’s celebrated segregation model. They evolved to highly complex models of entire economies on continental scales. Along the same lines, the study of epidemics spreading with ABMs evolved from minimalistic network diffusion models towards large-scale simulations capable of making predictions at the level of individual households.
Another field comprises online social dynamics, where ABMs provide a more in-depth understanding of the collective dynamical phenomena emerging, for example, by diffusion of emotional contents in social communications.
This Research Topic aims to collect contributions from different disciplines where ABMs have been successfully deployed, to capture the breadth of applications. The resulting collection is expected to become an updated reference for those interested in understanding how
agent-based modelling and its tools could be successfully applied for a deeper understanding of the socio-economic systems in which we live in order to improve their efficiency.
We welcome Original Research and Reviews on the following topics:
- Financial markets
- Animal behavior
- Opinion dynamics
- Segregation
- Social dynamics,
- Synchronization, Optimization problems
- Smart Cities, Pedestrian behavior, Traffic congestion
- Diffusion of fake news, Epidemic spreading, Climatic change.
In most of these disciplines, the level of detail captured by ABMs has skyrocketed over the years. For example, ABMs in Economics started with very stylized studies such as those of the Schelling’s celebrated segregation model. They evolved to highly complex models of entire economies on continental scales. Along the same lines, the study of epidemics spreading with ABMs evolved from minimalistic network diffusion models towards large-scale simulations capable of making predictions at the level of individual households.
Another field comprises online social dynamics, where ABMs provide a more in-depth understanding of the collective dynamical phenomena emerging, for example, by diffusion of emotional contents in social communications.
This Research Topic aims to collect contributions from different disciplines where ABMs have been successfully deployed, to capture the breadth of applications. The resulting collection is expected to become an updated reference for those interested in understanding how
agent-based modelling and its tools could be successfully applied for a deeper understanding of the socio-economic systems in which we live in order to improve their efficiency.
We welcome Original Research and Reviews on the following topics:
- Financial markets
- Animal behavior
- Opinion dynamics
- Segregation
- Social dynamics,
- Synchronization, Optimization problems
- Smart Cities, Pedestrian behavior, Traffic congestion
- Diffusion of fake news, Epidemic spreading, Climatic change.
Keywords: Agent-based models, opinion dynamics, social dynamics, fake news
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
