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Using ReLogo requires learning Groovy and Eclipse and becoming familiar with Repast’s complex organization documentation and learning materials are far less abundant and mature than NetLogo’s. Overall we found ReLogo considerably more challenging to use and a less productive development environment. ReLogo successfully reimplements much of NetLogo, and its translator was generally successful in converting NetLogo codes into ReLogo.
#ANYLOGIC SOFTWARE MEMORY SERIES#
We implemented the “StupidModel” series of 16 pseudo-models in both platforms these codes contain many elements of basic agent-based models and can serve as templates for programming real models. ReLogo evolved both from NetLogo and Repast it implements NetLogo’s basic design and its primitives in the Groovy programming language embedded in the Eclipse development environment, and provides access to the Repast library. Subsequent to the similar review we published in 2006, NetLogo has evolved into a powerful platform for scientific modeling while retaining its basic conceptual design, ease of use, and excellent documentation. "We review and evaluate two recently evolved agent-based simulation platforms: version 5.0 of NetLogo and the ReLogo component of Repast. Railsback, "The Evolution of Agent-Based Simulation Platforms: A Review of NetLogo 5.0 and ReLogo" (pdf,328KB), Their expertise and those requirements of their application domain." Simulation toolkit for designing and developing their system models and prototypes, cognizant of both
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Researchers, learners and academicians in readily selecting an appropriate agent-based modelling and (2) Provide a usable reference that aids engineers, Tabular/graphical formats and visual recordings. Tasks, such as constructing agent-based models and portraying the real-time simulation outputs in Salient features, merits, and shortcomings of such multi-faceted application software this article coversĮighty five agent-based toolkits that may assist the system designers and developers with common The original contribution of this survey is two-fold: (1) Present a concise characterization ofĪlmost the entire spectrum of agent-based modelling and simulation tools, thereby highlighting the In software agent-based computing technology and its incorporation within the modelling and simulationĭomain. "The key intent of this work is to present a comprehensive comparative literature survey of the state-of-art
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O'Hare, "Agent-Based Modelling and Simulation Tools: A Review of the State-of-Art Software" (pdf,18MB),Ĭomputer Science Review, Vol. Theodoropoulos, Pierre Lemarinier, and Gregory M.P.