Search
Search Results
-
Revisiting discrepancies between stochastic agent-based and deterministic models
Predicting which species will present (or absent) across geographical regions, and where, remains one of the important issues in ecology. From a...
-
Model verification tools: a computational framework for verification assessment of mechanistic agent-based models
BackgroundNowadays, the inception of computer modeling and simulation in life science is a matter of fact. This is one of the reasons why regulatory...
-
A new approach for representing agent-environment feedbacks: coupled agent-based and state-and-transition simulation models
ContextAgent-based models (ABMs) and state-and-transition simulation models (STSMs) have proven useful for understanding processes underlying...
-
PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks
In systems biology, mathematical models and simulations play a crucial role in understanding complex biological systems. Different modelling...
-
Agent-based simulations improve abundance estimation
Abundance is a fundamental characteristic of every biological population and is the focus of many research programs in ecology and conservation. In...
-
Rules of Engagement: A Guide to Develo** Agent-Based Models
Agent-based models (ABM), also called individual-based models, first appeared several decades ago with the promise of nearly real-time simulations of...
-
Advancing carbon neutrality in Silvopastoral systems: a case study applying agent-based modeling
Silvopastoral systems (SPS) offer both environmental and economic benefits, including climate change mitigation through carbon sequestration....
-
Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties
Inhibiting androgen receptor (AR) signaling through androgen deprivation therapy (ADT) reduces prostate cancer (PCa) growth in virtually all...
-
Agent-based modeling of the effects of conservation policies on social-ecological feedbacks between cropland abandonment and labor migration
ContextPayments for Ecosystem Services (PES) has increasingly been used in ecological conservation efforts through implementing forest policies...
-
Agent-Based Modeling of Complex Molecular Systems
The seamless integration of laboratory experiments and detailed computational modeling provides an exciting route to uncovering many new insights...
-
Concanavalin A as a promising lectin-based anti-cancer agent: the molecular mechanisms and therapeutic potential
Concanavalin A (ConA), the most studied plant lectin, has been known as a potent anti-neoplastic agent for a long time. Since initial reports on its...
-
Agent Based Modeling of Fish Shoal Behavior
Fish require a sufficient amount of dissolved oxygen in the water to breathe and maintain their metabolic functions. Insufficient levels of dissolved...
-
The FLAME-accelerated signalling tool (FaST) for facile parallelisation of flexible agent-based models of cell signalling
Agent-based modelling is particularly adept at modelling complex features of cell signalling pathways, where heterogeneity, stochastic and spatial...
-
Ecological Models
Models in ecology vary widely in form and function. In some cases, ecological models are developed primarily as qualitative conceptual frameworks...
-
A new agent-based model provides insight into deep uncertainty faced in simulated forest management
ContextExploratory modeling in forestry uses a variety of approaches to simulate forest management. One important assumption that every approach...
-
Embodied human language models vs. Large Language Models, or why Artificial Intelligence cannot explain the modal be able to
This paper explores the challenges posed by the rapid advancement of artificial intelligence specifically Large Language Models (LLMs). I show that...
-
Animal models of postpartum hemorrhage
Postpartum hemorrhage (PPH)—heavy bleeding following childbirth—is a leading cause of morbidity and mortality worldwide. PPH can affect individuals...
-
A comprehensive review of computational cell cycle models in guiding cancer treatment strategies
This article reviews the current knowledge and recent advancements in computational modeling of the cell cycle. It offers a comparative analysis of...
-
Computational Models for Biomarker Discovery
Alzheimer's disease (AD) is a prevalent and debilitating neurodegenerative disorder characterized by progressive cognitive decline. Early diagnosis...
-
Models in Crop Protection
A plant disease model is a simplified representation of the relationships between pathogens, crops, and the environment that cause the development of...