COMPUTATIONAL FEATURES OF AGENT-BASED MODELS

Authored by Massimo Bernaschi, Filippo Castiglione

Date Published: 2005-03

DOI: 10.1142/s0219876205000399

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative Flow charts

Model Code URLs: Model code not found

Abstract

Agent-based modeling allows the description of very complex systems. To run large scale simulations of agent-based models in a reasonable time, it is crucial to carefully design data structures and algorithms. We describe the main computational features of agent-based models and report about the solutions we adopted in two applications: The simulation of the immune system response and the simulation of the stock market dynamics.

Tags

Agent-based models immune system simulator lists permutation