Agent Based Modelling and Simulation tools: A review of the state-of-art software

被引:362
作者
Abar, Sameera [1 ]
Theodoropoulos, Georgios K. [2 ]
Lemarinier, Pierre [3 ]
O'Hare, Gregory M. P. [4 ]
机构
[1] Univ Coll Dublin, IBM Res, Sch Comp Sci, Dublin 4, Ireland
[2] Southern Univ Sci & Technol, Shenzhen, Peoples R China
[3] IBM Res, High Performance Syst Grp, Dublin 15, Ireland
[4] Univ Coll Dublin, Sch Comp Sci, Dublin 4, Ireland
关键词
Software agent; Agent Based Modelling and Simulation (ABMS) tools; Multi-agent computing; Modelling complex systems; Swarm intelligence; Artificial life / social science simulations; PLATFORMS;
D O I
10.1016/j.cosrev.2017.03.001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The key intent of this work is to present a comprehensive comparative literature survey of the state-of-art in software agent-based computing technology and its incorporation within the modelling and simulation domain. The original contribution of this survey is two-fold: (1) Present a concise characterization of almost the entire spectrum of agent-based modelling and simulation tools, thereby highlighting the salient features, merits, and shortcomings of such multi-faceted application software; this article covers eighty five agent-based toolkits that may assist the system designers and developers with common tasks, such as constructing agent-based models and portraying the real-time simulation outputs in tabular/graphical formats and visual recordings. (2) Provide a usable reference that aids engineers, researchers, learners and academicians in readily selecting an appropriate agent-based modelling and simulation toolkit for designing and developing their system models and prototypes, cognizant of both their expertise and those requirements of their application domain. In a nutshell, a significant synthesis of Agent Based Modelling and Simulation (ABMS) resources has been performed in this review that stimulates further investigation into this topic. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:13 / 33
页数:21
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