Agent-based Simulation Platforms: Review and Development Recommendations

Abstract

Five software platforms for scientific agent-based models (ABMs) were reviewed by implementing example models in each. NetLogo is the highest-level platform, providing a simple yet powerful programming language, built-in graphical interfaces, and comprehensive documentation. It is designed primarily for ABMs of mobile individuals with local interactions in a grid space, but not necessarily clumsy for others. NetLogo is highly recommended, even for prototyping complex models. MASON, Repast, and Swarm are “framework and library” platforms, providing a conceptual framework for organizing and designing ABMs and corresponding software libraries. MASON is least mature and designed with execution speed a high priority. The Objective-C version of Swarm is the most mature library platform and is stable and well organized. Objective-C seems more natural than Java for ABMs but weak error-handling and the lack of developer tools are drawbacks. Java Swarm allows Swarm’s Objective-C libraries to be called from Java; it does not seem to combine the advantages of the two languages well. Repast provides Swarm-like functions in a Java library and is a good choice for many, but parts of its organization and design could be improved. A rough comparison of execution speed found MASON and Repast usually fastest (MASON 1-35% faster than Repast), Swarm (including Objective-C) fastest for simple models but slowest for complex ones, and NetLogo intermediate. Recommendations include completing the documentation (for all platforms except NetLogo), strengthening conceptual frameworks, providing better tools for statistical output and automating simulation experiments, simplifying common tasks, and researching technologies for understanding how simulation results arise.

Keywords

Agent-based modeling individual-based modeling software platforms

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References

DeAngelis, D. L. , and W. M. Mooij . 2005. Individual-based modeling of ecological and evolutionary processes . Annual Review of Ecology, Evolution, and Systematics 36: 147-168 .

Grimm, V. , and S. F. Railsback . 2005. Individual-based Modeling and Ecology. Princeton, NJ: Princeton University Press .

Grimm, V. , E. Revilla , U. Berger , F. Jeltsch , W. M. Mooij , S. F. Rails-back , et al. 2005. Pattern-oriented modeling of agent-based complex systems: Lessons from ecology . Science 310: 987-991 .

Minar, N. , R. Burkhart , C. Langton , and M. Askenazi . June 1996. The Swarm simulation system: A toolkit for building multi-agent simulations. Report No. 96-06-042. Santa Fe, NM: Santa Fe Institute .

Ropella, G. E. P. , S. F. Railsback , and S. K. Jackson . 2002. Software engineering considerations for individual-based models . Natural Resource Modeling 15: 5-22 .

Luke, S. , C. Cioffi-Revilla , L. Panait , K. Sullivan , and G. Balan . 2005. MASON: A multiagent simulation environment . Simulation 81: 517-527 .

Tobias, R. , and C. Hofmann . 2004. Evaluation of free Java-libraries for social-scientific agent based simulation . Journal of Artificial Societies and Social Simulation 7(1). (Available online at http://jasss.soc.surrey.ac.uk/7/1/6.html.)

An, G. 2001. Agent-based computer simulation and SIRS: Building a bridge between basic science and clinical trials . Shock 16: 266-273 .

Matsumoto, M. , and T. Nishimura . 1998. Mersenne Twister: A 623-dimensionally equidistributed uniform pseudo-random number generator . ACM Transactions on Modeling and Computer Simulation 8: 3-30 .

10.

Gamma, E. , R. Helm , R. Johnson , and J. Vlissides . 1995. Design Patterns: Elements of Reusable Object-oriented Software. Boston, MA : Addison-Wesley Professional Computing Series.

11.

Ginot, V. , C. Le Page , and S. Souissi . 2002. A multi-agents architecture to enhance end-user individual-based modelling . Ecological Modelling 157: 23-41 .

12.

Gilbert, N. , and S. Bankes . 2002. Platforms and methods for agent-based modeling . Proceedings of the National Academy of Sciences 99(Suppl. 3): 7197-7198 .