This short review presents a selected history of the mutual fertilization between physics and economics, from Isaac Newton and Adam Smith to the present. The fundamentally different perspectives embraced in theories developed in financial economics compared with physics are dissected with the...

An agent-based model is a virtual world comprising distributed heterogeneous agents who interact over time. In a spatial agent-based model the agents are situated in a spatial environment and are typically assumed to be able to move in various ways across this environment. Some kinds of social...

Agile software development is having a profound impact on the software industry. However, the Agent-Based Social Simulation (ABSS) community has not kept the same pace with the growing interest in agile methods. A review of the evidence available on the relation between agile and ABSS was...

The decision of lifting social restrictions is one of the most critical that public health authorities face to, during a pandemic like the COVID-19 one. This work focuses on the risk associated to such decision. We have called 'final epidemic phase' the period from the re-opening decision to...

Multiple agent-based models (ABM) on social-ecological systems exist in parallel investigating similar research questions. However, the choice of a particular human decision model is often not sufficiently empirically or theoretically substantiated in the model documentation. Furthermore, model...

Agent-Based Models (ABM) are computational scenario-generators, which can be used to predict the possible future outcomes of the complex system they represent. To better understand the robustness of these predictions, it is necessary to understand the full scope of the possible phenomena the...

Agent-based computational economics (ACE) has been attracting attention in recent years. This method, however, is challenging because of the complexity of the model’s structure due to the coexistence of systems for decision-making and those involved in financial transactions. Further, ACE...

We use minority game model to investigate evolutionary dynamics in complex networks of adaptive agents competing for limited resources. We show that the dynamics and the associated phase structures critically depend on the underlying network organizations, and evolution is a key mechanism for...

Most agent-based research in finance relies on ad-hoc models and computer simulations. Those are difficult to reuse, except for discussing previous papers, as they are locked in the choices made by their initial conceptor. For an example. some models consider that an order on the market is given...

Using consistent agent-based techniques, this research explores the welfare consequences of product differentiation on congested networks. The economic analysis focuses on the source, evolution, measurement, and impact of product differentiation with heterogeneous users on a mixed ownership...