Software agents are particularly suitable for engineering models and simulations of cellular systems. In a very natural and intuitive manner, individual software components are therein delegated to reproduce in silico the behavior of individual components of alive systems at a given level of resolution. Individuals' actions and interactions among individuals allow complex collective behavior to emerge. In this chapter we first introduce the readers to software agents and multi-agent systems, reviewing the evolution of agent-based modeling of biomolecular systems in the last decade. We then describe the main tools, platforms, and methodologies available for programming societies of agents, possibly profiting also of toolkits that do not require advanced programming skills.
CITATION STYLE
Cannata, N., Corradini, F., Merelli, E., & Tesei, L. (2013). Agent-based models of cellular systems. Methods in Molecular Biology, 930, 399–426. https://doi.org/10.1007/978-1-62703-059-5_18
Mendeley helps you to discover research relevant for your work.