24 papers · ranked by Valyu relevance
Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan + 4 more
'Zhilun Zhou' 'Fengli Xu' 'Yong Li'] Agent-based modeling and simulation has evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents. Integrating large language models into agent-based modeling and simulation presents a promising avenue…
G. Jordan Maclay, Moody Ahmad, Gareth J. Baxter
The model is based on a vector representation of each agent. The components of the vector are the key continuous “attributes” that determine the social behavior of the agent. A simple mathematical force vector model is used to predict the effect of each agent on all other agents. The force law used is motivated by…
Lukas Johannes Breitwieser
D E S I G N A N D A N A LY S I S O F A N E X T R E M E - S C A L E , H I G H - P E R F O R M A N C E , A N D M O D U L A R A G E N T - B A S E D S I M U L AT I O N P L AT F O R M
Erica Cau, Andrea Failla, Valentina Pansanella, Giulio Rossetti
This book chapter covers the evolution of social simulation from classical agent-based models, in which agents interact according to explicitly defined behavioral rules, to AI-enhanced simulations based on Large Language Models and, ultimately, Social Digital Twins: high-fidelity, data-driven representations of…
Paul Piho, Philipp Thomas
population dynamics Authors: ['Paul Piho' 'Philipp Thomas'] Summary: Agent-based models capture heterogeneity among individuals in a population and are widely used in studies of multi-cellular systems, disease, epidemics and demography to name a few. However, existing frameworks consider discrete time-step simulation…
Ziyue Lin, Siqi Shen, Cheng, Zichen + 3 more
Autonomous agents demonstrate varying degrees of intelligence, enabling them to perceive their environment, make decisions, and execute actions in pursuit of certain goals [31, [131]]. Agent-based modeling and simulation (ABMS) connects the micro-level actions of individual agents to the macro-level dynamics of the…
Tadeo Javier Cocucci, Manuel Pulido, Juan Pablo Aparicio, Juan Ruíz + 3 more
'Mario Ignacio Simoy' 'Santiago Rosa' 'Vygintas Gontis'] To represent the complex individual interactions in the dynamics of disease spread informed by data, the coupling of an epidemiological agent-based model with the ensemble Kalman filter is proposed. The statistical inference of the propagation of a disease by…
Vladimir Stepanov, Scott Ferson
Background Monte Carlo (MC) is often used when trying to assess the consequences of uncertainty in agent-based models (ABMs). However, this approach is not appropriate when the uncertainty is epistemic rather than aleatory, that is, when it represents a lack of knowledge rather than variation. The free-for-all…
G. Jordan Maclay, Moody Ahmad
The model is based on a vector representation of each agent. The components of the vector are the key continuous "attributes" that determine the social behavior of the agent. A simple mathematical force vector model is used to predict the effect of each agent on all other agents. The force law used is motivated by…
Maik Larooij, Petter Törnberg
Recent advances in Large Language Models (LLMs) have revitalized interest in Agent-Based Models (ABMs) by enabling “generative” simulations, with agents that can plan, reason, and interact through natural language. These developments promise greater realism and expressive power, but also revive long-standing concerns…
Florian Cogoni, David Bernard, Roxana Kazhen, Salvatore Valitutti + 2 more
Agent-based models are commonly used in biology to study tissue-scale phenomena by reproducing the individual behavior of the cells. They offer the possibility to study cellular biology at the individual cell scale to explore the basic behavior of cells which are responsible of the emergence of more complex phenomena…
Thaleia Ntiniakou, James Osborne, Jieling Zhao, Jules Dichamp + 30 more
The emergence of virtual human twins (VHT) in biomedical research has sparked interest in multiscale in silico modelling frameworks, particularly in their application bridging cellular to tissue levels. Among the diverse array of multiscale modelling tools, off-lattice center-based agent-based models (CBM) offer a…
Brandon P.M. Edwards, Shoshanah Jacobs, Daniel Gillis
The Piping Plover Charadrius melodus is an endangered species of shorebird endemic to North America. This species has been the centre of many modelling studies in the last decade. One model type that has been underused in Piping Plover studies is agent-based modelling, which can be used as an accurate risk assessment…
Sedar Olmez, Alison Heppenstall, Jiaqi Ge, Corinna Elsenbroich + 1 more
'Dan Birks'] Title: ABSTRACT Research in modelling housing market dynamics using agent-based models (ABMs) has grown due to the rise of accessible individual-level data. This research involves forecasting house prices, analysing urban regeneration, and the impact of economic shocks. There is a trend towards using…
Ryo Murata, Kenji Tanaka, Ibrahim Hoteit
Understanding the dynamics of pedestrian flow in urban areas is crucial for decision-making in urban planning and marketing strategies. Previous methods for analyzing pedestrian flow can be divided into data-driven approaches and simulation-driven approaches. While data-driven approaches effectively capture actual…
Claes Strannegård, Michał Palak, Niklas Engsner, Alice Stocco + 2 more
Twin models of natural ecosystems hold great promise for informing real-world decisions on sustainable land use and biodiversity conservation. However, existing simulations of animal behavior often rely on manually crafted rules, limiting their scalability and practical utility. Here, we present a flexible and scalable…
Jason Y. Cain, Jacob I. Evarts, Jessica S. Yu, Neda Bagheri
Emergent biological dynamics derive from the evolution of lower-level spatial and temporal processes. A long-standing challenge for scientists and engineers is identifying simple low-level rules that give rise to complex higher-level dynamics. High-resolution biological data acquisition enables this identification and…
Authors not listed
Agentic artificial intelligence (AI) is poised to redefine how science is conducted, automating not just data analysis but the entire research lifecycle, from hypothesis generation to validation. Yet most current AI agents remain domain-bound, tailored to specific applications such as materials synthesis or quantum…
T.J. Sego, James P. Sluka, Herbert M. Sauro, James A. Glazier
Tissue Forge is an open-source interactive environment for particle-based physics, chemistry and biology modeling and simulation. Tissue Forge allows users to create, simulate and explore models and virtual experiments based on soft condensed matter physics at multiple scales, from the molecular to the multicellular…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Tom Kimpson, Jennifer Flegg, Matthew J. Simpson
Cell migration is a key biological process underlying wound healing, tissue development, and cancer metastasis, yet calibrating mathematical models of migration to experimental data remains a major challenge. Scratch and barrier assays are widely used to study collective cell spreading, and agent-based random walk…
Authors not listed
We have developed Aitomia – a platform powered by AI to assist in performing AI-driven atomistic and quantum chemical (QC) simulations. This evolving intelligent assistant platform is equipped with chatbots and AI agents to help experts and guide non-experts in setting up and running atomistic simulations, monitoring…
Authors not listed
Electrochemiluminescence (ECL) is a vital analytical technique widely used in immunosensing and emerging applica-tions in biological imaging. Traditional ECL simulations rely on finite element methods, which provide valuable insights into reaction dynamics and spatial distribution of species. However, such methods are…
Monika Vogler, Jonas Busk, Hamidreza Hajiyani, Peter Bjørn Jørgensen + 9 more
The future of materials science is borderless, cooperative, and distributed across the globe. This necessitates flexible, reconfigurable software defined research workflows, which we herein demonstrate by integrating multiple disciplines and modalities. Our brokering approach to research orchestration exposes entire…