activity
20102026
most citedEB-DEVS: A Formal Framework for Modeling and Simulation of Emergent Behavior in Dynamic Complex Systems

16 citations · 35 across the 11 of their papers we have counts for

collaborators

11 papers

cs.MA2026

Optimizing Interventions for Agent-Based Infectious Disease Simulations

Anja Wolpers, Johannes Ponge, Adelinde M. Uhrmacher

Non-pharmaceutical interventions (NPIs) are commonly used tools for controlling infectious disease transmission when pharmaceutical options are unavailable. Yet, identifying effect…

cs.HC2025

Visual Analysis of Time-Dependent Observables in Cell Signaling Simulations

Lena Cibulski, Fiete Haack, Adelinde Uhrmacher +1

The ability of a cell to communicate with its environment is essential for key cellular functions like replication, metabolism, or cell fate decisions. The involved molecular mecha…

cs.LG2025★ 3 cited

Learning surrogate equations for the analysis of an agent-based cancer model

Kevin Burrage, Pamela M. Burrage, Justin N. Kreikemeyer +2

In this paper, we adapt a two-species agent-based cancer model that describes the interaction between cancer cells and healthy cells on a uniform grid to include the interaction wi…

cs.LG2025★ 7 cited

Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks

Justin N. Kreikemeyer, Miłosz Jankowski, Pia Wilsdorf +1

Formal languages are an integral part of modeling and simulation. They allow the distillation of knowledge into concise simulation models amenable to automatic execution, interpret…

cs.LG2024

Towards Learning Stochastic Population Models by Gradient Descent

Justin N. Kreikemeyer, Philipp Andelfinger, Adelinde M. Uhrmacher

Increasing effort is put into the development of methods for learning mechanistic models from data. This task entails not only the accurate estimation of parameters but also a suit…

cs.CE2023★ 3 cited

Context, Composition, Automation, and Communication -- The C2AC Roadmap for Modeling and Simulation

Adelinde Uhrmacher, Peter Frazier, Reiner Hähnle +9

Simulation has become, in many application areas, a sine-qua-non. Most recently, COVID-19 has underlined the importance of simulation studies and limitations in current practices a…

econ.GN2022★ 4 cited

A basic macroeconomic agent-based model for analyzing monetary regime shifts

Florian Peters, Doris Neuberger, Oliver Reinhardt +1

In macroeconomics, an emerging discussion of alternative monetary systems addresses the dimensions of systemic risk in advanced financial systems. Monetary regime changes with the…

cs.CE2021

Automatic Reuse, Adaption, and Execution of Simulation Experiments via Provenance Patterns

Pia Wilsdorf, Anja Wolpers, Jason Hilton +2

Simulation experiments are typically conducted repeatedly during the model development process, for example, to re-validate if a behavioral property still holds after several model…

cs.CE2020★ 1 cited

An Artifact-based Workflow for Finite-Element Simulation Studies

Andreas Ruscheinski, Pia Wilsdorf, Julius Zimmermann +2

Workflow support typically focuses on single simulation experiments. This is also the case for simulation based on finite element methods. If entire simulation studies shall be sup…

cs.MA2020★ 16 cited

EB-DEVS: A Formal Framework for Modeling and Simulation of Emergent Behavior in Dynamic Complex Systems

Daniel J. Foguelman, Philipp Henning, Adelinde Uhrmacher +1

Emergent behavior is a key feature defining a system under study as a complex system. Simulation has been recognized as the only way to deal with the study of the emergency of prop…

cs.CE2010★ 1 cited

A flexible architecture for modeling and simulation of diffusional association

Fiete Haack, Stefan Leye, Adelinde M. Uhrmacher

Up to now, it is not possible to obtain analytical solutions for complex molecular association processes (e.g. Molecule recognition in Signaling or catalysis). Instead Brownian Dyn…