20 papers · ranked by Valyu relevance
Muaz A. Niazi, Amir Hussain
NetLogo is a popular tool based on the Logo language with a strong user base and an active publicly supported mailing list. It provides visual simulation and is freely available for download and has been used considerably in multiagent systems literature . It has also been used considerably in social simulation and…
Catherine A. A. Beauchemin, Laura E. Liao, Kenneth Blahut
This tutorial introduces participants to the design and implementation of an agentbased model using NetLogo through one of two different projects: modelling T cell movement within a lymph node or modelling the progress of a viral infection in an in vitro cell culture monolayer. Each project is broken into a series of…
Rui Portocarrero Sarmento
Multi-Agent Systems (MAS) have been applied to several areas or tasks ranging from energy networks controlling to robot soccer teams. MAS are the ideal solution when they provide decision support in situations where human decision and actions are not feasible to operate the system in control and in real-time. Thus, we…
Sophia Nicolette C. Amasa, Trisha Mae P. Beleta, Shemaiah L. Montilla, Orven E. Llantos + 1 more
'Orven E. Llantos' 'José Antonio Ortega'] Many studies have employed Agent-Based Modeling (ABM) to study the complex dynamics of HIV transmission. However, these studies often focus narrowly on specific subpopulations and limited parameters, restricting the potential of ABM to capture the intricate interrelationships…
Chathika Gunaratne, Iván Garibay
NL4Py is a NetLogo controller software for Python, for the rapid, parallel execution of NetLogo models. NL4Py provides both headless (no graphical user interface (GUI)) and GUI NetLogo workspace control through Python. Spurred on by the increasing availability of open-source computation and machine learning libraries…
Aristotelis Gkiolmas, Anthimos Chalkidis, Maria Papaconstantinou, Zafar Iqbal + 1 more
'Zafar Iqbal' 'Constantine Skordoulis'] The Multi-Agent-Based programming, modeling and simulation environment of NetLogo (Wilensky, 1999) has been used extensively during the last fifteen years for educational – among other – purposes. The learning subject, upon interacting with the User's Interface of NetLogo, can…
Cristian Jimenez-Romero, Jeffrey Johnson
The scientific interest attracted by Spiking Neural Networks (SNN) has lead to the development of tools for the simulation and study of neuronal dynamics ranging from phenomenological models to the more sophisticated and biologically accurate Hodgkin-and-Huxley-based and multi-compartmental models. However, despite the…
Ferdinando Chiacchio, Marzio Pennisi, Giulia Russo, Santo Motta + 1 more
'Francesco Pappalardo'] Several components that interact with each other to evolve a complex, and, in some cases, unexpected behavior, represents one of the main and fascinating features of the mammalian immune system. Agent-based modeling and cellular automata belong to a class of discrete mathematical approaches in…
Ruonan Liu, Zhenyu Huang
In the Post-COVID-19 Era, with the continuous improvement of the technical level, virtual teams are constantly evolving, and the relationship between leadership and the construction of virtual teams has received more and more attention. It is of great significance to explore the influence of participatory leadership on…
Riccardo Tarantino, Salvatore Contino, Livia Gugliotta, Giuseppe Indelicato + 3 more
Actin polymerization is a critical cellular process involved in a wide range of activities, from cell motility to cytokinesis. The complex behavior of this molecular system, resulting in three different phases (i.e., nucleation, elongation, and steady state) is clear by looking at the way these dynamics emerge from a…
Loredana Di Lucchio, Giovanni Modanese
networks Authors: ['Loredana Di Lucchio' 'Giovanni Modanese'] We show how the combined use of the free software packages networkX and NetLogo allows to implement quickly and with large flexibility agent-based network simulations of the classical Bass diffusion model and of its extensions and modifications. In addition…
Kenneth H Schatten
This article focuses on mapping the Sun’s large-scale magnetic fields. In particular, the model considers how photospheric fields evolve in time. Our solar field mapping method uses Netlogo’s cellular automata software via algorithms to carry out the movement of magnetic field on the Sun via agents. This model's…
Abdullah, Zulaikha Fatima, Muhammad Ateeb Ather, José Luis Oropeza Rodríguez
Existing reinforcement learning (RL) approaches struggle to balance real-time decision-making with adaptive learning in dynamic healthcare environments. We propose a brain-inspired hybrid RL framework that integrates model-based (MB) planning and model-free (MF) reflexes via a dynamic meta-controller, neuro-symbolic…
Cristian Jimenez-Romero, Alper Yegenoglu, Christian Blum
This work examines the integration of large language models (LLMs) into multi-agent simulations by replacing the hard-coded programs of agents with LLM-driven prompts. The proposed approach is showcased in the context of two examples of complex systems from the field of swarm intelligence: ant colony foraging and bird…
Narshini D. Gunputh, Eirini Kilikian, Claudia A. Miranda, Shayn M. Peirce + 1 more
Agent-based modeling (ABM) is a computational method for predicting the emergent outcomes of interacting, autonomous individuals in a complex system. Here, ABM is used to simulate interactions between fibroblast and myofibroblast cells during idiopathic pulmonary fibrosis (IPF) in alveolar tissue microenvironments.…
Antoni Matyjaszkiewicz, James Sharpe
Successful computational modelling of complex biological phenomena will depend on the seamless sharing of models and hypotheses among researchers of all backgrounds - experimental and theoretical. LimbNET, a new online tool for modelling, simulating and visualising spatiotemporal patterning in limb development, aims to…
Sergio Pablo-García, Raúl Pérez-Soto, Albert Sabadell-Rendón, Diego Garay-Ruiz + 2 more
In the study of chemical reactions, visualizing reaction networks is pivotal for identifying crucial compounds and reactions. Traditional methods, such as network schematics and reaction path linear plots, often struggle to effectively represent complex reaction networks due to their size and intricate connectivity.…
André L. L. Moreira, César Rennó-Costa
Evolution optimizes cellular behavior throughout sequential generations by selecting the successful individual cells in a given context. As gene regulatory networks (GRNs) determine the behavior of single cells by ruling the activation of different processes - such as cell differentiation and death - how GRNs change…
Authors not listed
Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
Matthew Bailey, Mark Wilson
One of the critical tools of persistent homology is the persistence diagram. We demonstrate the applicability of a persistence diagram showing the existence of topological features (here rings in a 2D network) generated over time instead of space as a tool to analyse trajectories of biological networks. We show how the…