RatKit: Repeatable Automated Testing Toolkit for Agent-Based Modeling and Simulation

被引:2
|
作者
Cakirlar, Ibrahim [1 ]
Gurcan, Onder [1 ,2 ]
Dikenelli, Oguz [1 ]
Bora, Sebnem [1 ]
机构
[1] Ege Univ, Dept Comp Engn, TR-35100 Izmir, Turkey
[2] CEA, Lab Model Driven Engn Embedded Syst, LIST, F-91191 Gif Sur Yvette, France
来源
关键词
Agent-based modeling and simulation; Model testing; Verification and validation; FRAMEWORK; SYSTEMS;
D O I
10.1007/978-3-319-14627-0_2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Agent-based modeling and simulation (ABMS) became an attractive and efficient way to model large-scale complex systems. The use of models always raises the question whether the model is correctly encoded (verification) and accurately represents the real system (validation). However, achieving a sufficiently credible agent-based simulation (ABS) model is still difficult due to weak verification, validation and testing (VV&T) techniques. Moreover, there is no comprehensive and integrated toolkit for VV&T of ABS models that demonstrates that inaccuracies exist and/or which reveals the existing errors in the model. Based on this observation, we designed and developed RatKit: a toolkit for ABS models to conduct VV&T. RatKit facilitates the VV&T process of ABMS by providing an integrated environment that allows repeatable and automated execution of ABS tests. This paper presents RatKit in detail and demonstrates its effectiveness by showing its applicability on a simple well-known case study: predator - prey.
引用
收藏
页码:17 / 27
页数:11
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