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

页码：33 / 48

页数：16

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