Agent-based Simulation of the Pharmaceutical Parallel Trade Market: A Case Study DOI Open Access
Ruhollah Jamali, Sanja Lazarova‐Molnar

Procedia Computer Science, Journal Year: 2023, Volume and Issue: 220, P. 495 - 502

Published: Jan. 1, 2023

The pharmaceutical parallel trade market emerged as a consequence of the European single for pharmaceuticals, involving multiple players that partake in different types competitions. These competitions not only affect players' profit, but also have significant impact on people's healthcare access and welfare. Hence, modeling provides way to study offer valuable decision support authorities, people, involved market. Agent-based offers computational methodology macro-level outcomes emerging from individual behaviors while offering relax conventional assumptions standard mathematical economic models. Here, we demonstrate use case an agent-based model investigate its abilities by analyzing various scenarios.

Language: Английский

Bayesian Calibration of Stochastic Agent Based Model via Random Forest DOI
Connor Robertson, Cosmin Safta, Nicholson Collier

et al.

Statistics in Medicine, Journal Year: 2025, Volume and Issue: 44(6)

Published: March 13, 2025

ABSTRACT Agent‐based models (ABM) provide an excellent framework for modeling outbreaks and interventions in epidemiology by explicitly accounting diverse individual interactions environments. However, these are usually stochastic highly parametrized, requiring precise calibration predictive performance. When considering realistic numbers of agents properly stochasticity, this high‐dimensional can be computationally prohibitive. This paper presents a random forest‐based surrogate technique to accelerate the evaluation ABMs demonstrates its use calibrate epidemiological ABM named CityCOVID via Markov chain Monte Carlo (MCMC). The is first outlined context CityCOVID's quantities interest, namely hospitalizations deaths, exploring dimensionality reduction temporal decomposition with principal component analysis (PCA) sensitivity analysis. problem then presented, samples generated best match COVID‐19 hospitalization death Chicago from March June 2020. These results compared previous approximate Bayesian (IMABC) results, their performance analyzed, showing improved computation.

Language: Английский

Citations

0
On the Interplay Between Behavior Dynamics, Environmental Impacts, and Fairness in the Digitalized Circular Economy with Associated Business Models and Supply Chain Management DOI Open Access

Shai Fernández,

Ulf Bodin, Kåre Synnes

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3437 - 3437

Published: April 12, 2025

In contemporary research, the digital transformation of industries and societies has increased importance interdisciplinary exploration, particularly when addressing complex challenges faced by modern organizations social systems. From perspective digitalization, this literature review examines intricate interactions between three key research domains: behavior dynamics, environmental impact, fairness. By reviewing a wide range studies methodologies, it reveals new insights, challenges, opportunities that arise at intersection through interdependencies these areas within ecosystems. Through structured approach covering preliminary background, state-of-the-art methods, comprehensive analysis, document seeks to reveal synergies divergences among domains. Special emphasis is placed on their implications in digitalization circular economy, business models, supply chain management contexts where domains converge meaningful ways. Additionally, an extensive existing literature, highlights current state identifies notable gaps. These include issues such as ensuring fairness digitalized sustainable strategies, understanding role dynamics promoting management, managing impacts digitally driven models. weaving together diverse elements, work offers novel perspective, emphasizing collaborative integrative shaping equitable future.

Language: Английский

Citations

0
Exploring Complexity: A Bibliometric Analysis of Agent-Based Modeling in Finance and Banking DOI Creative Commons
Ștefan Ionescu, Camelia Delcea, Ionuț Nica

et al.

International Journal of Financial Studies, Journal Year: 2025, Volume and Issue: 13(2), P. 65 - 65

Published: April 14, 2025

This study conducts a comprehensive bibliometric analysis of the use agent-based modeling (ABM) in finance and banking, aiming to uncover how this methodology has evolved over past two decades. It addresses following overarching question: How ABM contributed development financial research terms trends, key contributors, thematic directions? The relevance topic is based on growing complexity systems limitations traditional models capturing dynamic interactions, contagion effects, systemic risks. Using refined dataset 489 articles from Web Science (2000–2024), selected through multi-step keyword screening process, we apply techniques using R Studio (version 2024.12.1+563) Bibliometrix 4.3.3). reveals stable publication growth, strong international collaborations (notably Italy, USA, China), core areas such as risk management, market simulation, stability, policy evaluation. findings highlight both well-established emerging fronts, with increasingly used simulate real-world phenomena support regulatory strategies. By mapping intellectual structure field, paper provides solid foundation for future interdisciplinary practical insights policymakers seeking innovative tools supervision decision making.

Language: Английский

Citations

0
The Importance of Being Many: Dynamics, Interaction and Aggregation in a Multi-Sector Economy DOI
Marco Nieddu, Marco Raberto, Andrea Teglio

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Artificial intelligence approaches in predicting the mechanical properties of natural fiber-reinforced concrete: A comprehensive review DOI
Mohammed Mohammed, Jawad K. Oleiwi,

Aeshah M. Mohammed

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 153, P. 110933 - 110933

Published: April 22, 2025

Language: Английский

Citations

0
Adaptive behavior of farmers under consecutive droughts results in more vulnerable farmers: a large-scale agent-based modeling analysis in the Bhima basin, India DOI Creative Commons
Maurice Kalthof, Jens de Bruijn, Hans de Moel

et al.

Natural hazards and earth system sciences, Journal Year: 2025, Volume and Issue: 25(3), P. 1013 - 1035

Published: March 6, 2025

Abstract. Consecutive droughts, becoming more likely, produce impacts beyond the sum of individual events by altering catchment hydrology and influencing farmers' adaptive responses. We use Geographical, Environmental, Behavioural (GEB) model, a coupled agent-based hydrological expand it with subjective expected utility theory (SEUT) to simulate farmer behavior subsequent interactions. apply GEB analyze responses ∼1.4 million heterogeneous farmers in India's Bhima basin over consecutive droughts compare scenarios without adaptation. In scenarios, can either do nothing, switch crops, or dig wells, based on each action's utility. Our analysis examines how these adaptations affect profits, yields, groundwater levels, considering, e.g., farm size, risk aversion, drought perception. Results indicate that decrease vulnerability impact after one (6 times yield loss reduction) but increase them periods due switching water-intensive crops homogeneous cultivation (+15 % decline income). Moreover, patterns, vulnerability, vary spatiotemporally between individuals. Lastly, ecological social shocks coincide plummet incomes. recommend alternative additional wells mitigate emphasize importance socio-hydrological models (ABMs) for policy testing.

Language: Английский

Citations

0
Agent-based Simulation of the Pharmaceutical Parallel Trade Market: A Case Study DOI Open Access
Ruhollah Jamali, Sanja Lazarova‐Molnar

Procedia Computer Science, Journal Year: 2023, Volume and Issue: 220, P. 495 - 502

Published: Jan. 1, 2023

The pharmaceutical parallel trade market emerged as a consequence of the European single for pharmaceuticals, involving multiple players that partake in different types competitions. These competitions not only affect players' profit, but also have significant impact on people's healthcare access and welfare. Hence, modeling provides way to study offer valuable decision support authorities, people, involved market. Agent-based offers computational methodology macro-level outcomes emerging from individual behaviors while offering relax conventional assumptions standard mathematical economic models. Here, we demonstrate use case an agent-based model investigate its abilities by analyzing various scenarios.

Language: Английский

Citations

0