COMPUTATIONAL FEATURES OF AGENT-BASED MODELS

被引：3
|
作者：
Bernaschi, Massimo [1 ]
Castiglione, Filippo [1 ]
机构：
[1] CNR, IAC M Picone, I-00161 Rome, Italy
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS | 2005年 / 2卷 / 01期
关键词：
Agent-based models; lists permutation; immune system simulator;
D O I：
10.1142/S0219876205000399
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：33 / 48
页数：16
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