In response to the challenges posed by an increasingly decentralized energy system characterized by a high penetration of renewable energy sources, grid operators are experiencing heightened pressure to effectively manage grid congestion. Concurrently, both the European Union as well as the...

This paper studies the effects of introducing a Central Bank Digital Currency (CBDC) on economic output, bank intermediation and financial stability in a closed economy using an Agentbased Stock Flow Consistent (AB-SFC) Model. Thereby a digital bank run is simulated across various economic...

Different types of mathematical models can be used to forecast the development of diseases as well as associated costs and analyse the cost-effectiveness of interventions. The set of models available to assess these parameters, reach from simple independent equations to highly complex...

Climate change stands as one of the most formidable challenges in the twenty-first century. Despite this, our understanding of the unfolding and interconnection of climate-related physical and transitional risks, and their implications for socioeconomic dynamics along various transition...

The paper examines the macroeconomic effects of fiscal policy under varying economic conditions. The analysis is conducted using a closed-economy agent-based model, where macroeconomic outcomes of fiscal intervention emerge from the bottom up as the result of interactions between heterogeneous...

Climate change and economic inequality are two critical and interlinked global challenges. The feasibility of jointly reducing greenhouse gas emissions and inequality has often been questioned. Here, we aim to test whether a properly designed mix of progressive and environmental fiscal policies...

We develop a macroeconomic agent-based model to study the role of demand and supply factors in determining inflation dynamics. Local interactions of heterogeneous firms and households in the labor and goods markets characterize the model. Asymmetric information implies that firm selection is...

Background: Agriculture plays a key role in Colombia's economy. However, the sector faces persistent logistics, infrastructure, and supply chain integration challenges that hinder its development. While background studies have primarily addressed socio-economic needs and strategies to overcome...

This paper investigates the relationship among transaction taxes, high-frequency trading (HFT), and market quality. We use the agent-based modeling (ABM) approach to dynamically assess the impact of transaction taxes on market quality with and without high-frequency trading. Preliminary tests...

In this paper, we investigate the classical Axelrod model of cultural dissemination under an adaptive network framework. Unlike the original model, we place agents on a complex network, where they cut connections with any agent that does not share at least one cultural trait. This rewiring...

This paper investigates the optimal locations of health service facilities during the Hajj, a major temporary city event in Mina, Saudi Arabia, attended by millions of pilgrims. Given the logistical challenges and historical accident risks during this dense gathering, effective placement of...

This paper investigates how social network and conformity dynamics shape the stability of inflation expectations and the dissemination of economic narratives. Using an agent-based macroeconomic simulation, I integrate a heuristic switching framework with an opinion dynamics mechanism to examine...

Over recent decades, workplace bullying and other forms of "negative acts" have become a phenomenon of global interest. Extant scholarship has recognized the negative effects, which escalating acts of verbal and physical aggression can have on individuals and the wider, ethical infrastructure of...

We use agent-based modelling to build a digital twin of the retail payment system, where heterogeneous consumers and merchants interact, learn, and adapt as they meet and use different monies and payment instruments. As we introduce an rCBDC, the model simulates its adoption. We calibrate this...

Simulation modelling has widely been applied in healthcare supply chain management, focusing on blood and vaccine supply chains with less attention on the medicine supply chains. This study presents a systematic review of studies applying simulation methods, namely agent-based modelling,...

This study investigates the interplay between parental circumstances, talent, and luck in shaping long-term socioeconomic success through an agent-based simulation model. Building on prior research on the influence of socioeconomic status (SES) and parental circumstances on educational outcomes,...

We develop a general equilibrium production network model that spans two periods and incorporates heterogeneous households, firm-specific CobbDouglas production technologies, and a time-to-build mechanism for capital formation. Within this dynamic framework, we establish the existence and...

Agent-Based Models (ABMs) provide powerful tools for economic analysis, capturing microto-macro interactions and emergent properties. However, integration with empirical data has been a persistent challenge. To address it, we propose a protocol for integration between empirical data and ABM,...

This study conducts a comprehensive bibliometric analysis of the use of agent-based modeling (ABM) in finance and banking, aiming to uncover how this methodology has evolved over the past two decades. It addresses the following overarching question: How has ABM contributed to the development of...

Background: Intralogistics systems face growing challenges from globalization, individualization, and shorter product life cycles, demanding flexible and responsive solutions beyond traditional centralized control. Decentralized, agent-based approaches offer potential advantages, especially for...