Nature

Agent-Based Modeling and Simulation in Complex Systems articles from across Nature Portfolio

Self-driving lab systems (aka, autonomous experimentation) accelerate research - letting scientists learn faster, spend less resources, and fail smarter in well defined, narrow studies. The ...
Nature

Agent-Based Modeling and Simulation in Complex Systems

Agent-based modelling and simulation (ABMS) constitutes a powerful computational paradigm for exploring the dynamics of complex systems through the interactions of discrete, autonomous agents. Each ...
US Geological Survey

A standard protocol for describing individual-based and agent-based models

Authors Volker Grimm, Uta Berger, Finn Bastiansen, Sigrunn Eliassen, Vincent Ginot, Jarl Giske, John Goss-Custard, Tamara Grand, Simone K. Heinz, Geir Huse, Andreas ...
US Geological Survey

An agent-based model to quantify energetics, movement and habitat selection of mid-continent mallards in the Mississippi Alluvial Valley

Authors Florian G. Weller, Elisabeth B. Webb, Sean Fogenburg, William S. Beatty, Dylan Kesler, Robert H. Blenk, Kevin M. Ringelman, Matt L. Miller, John M. Eadie ...