On Evaluating Rust as a Programming Language for the Future of Massive Agent-Based Simulations

被引：3

作者：

Antelmi, Alessia ^{[1
]}

Cordasco, Gennaro ^{[2
]}

D'Auria, Matteo ^{[1
]}

De Vinco, Daniele ^{[1
]}

Negro, Alberto ^{[1
]}

Spagnuolo, Carmine ^{[1
]}

机构：

[1] Univ Salerno, ISISLab, Dipartimento Informat, Fisciano, Italy

[2] Univ Campania Luigi Vanvitelli, Dipartimento Psicol, Caserta, Italy

来源：

METHODS AND APPLICATIONS FOR MODELING AND SIMULATION OF COMPLEX SYSTEMS | 2019年 / 1094卷

关键词：

Rust language; Agent-Based Model; Simulation; Framework;

D O I：

10.1007/978-981-15-1078-6_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The analysis of real systems and the development of predictive models to describe the evolution of real phenomena are challenging tasks that can improve the design of methodologies in many research fields. In this context, Agent-Based Model (ABM) can be seen as an innovative tool for modelling real-world complex simulations. This paper presents Rust-AB, an open-source library for developing ABM simulation on sequential and/or parallel computing platforms, exploiting Rust as programming language. The Rust-AB architecture as well as an investigation on the ability of Rust to develop ABM simulations are discussed. An ABM simulation written in Rust-AB, and a performance comparison against the well-adopted Java ABM toolkit MASON is also presented.

引用

页码：15 / 28

页数：14

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