MacroSwarm: A scala framework for swarm programming

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Science of Computer Programming Pub Date : 2024-08-02 DOI:10.1016/j.scico.2024.103182

Gianluca Aguzzi, Mirko Viroli

引用次数: 0

Abstract

Programming swarm behaviors is a challenging task, due to the need to express collective behaviors in terms of local interactions among simple agents. Even if several programming frameworks have been proposed, they are often based on low-level abstractions, which makes the development of swarm applications complex and error-prone. Thus, we present MacroSwarm, an aggregate programming framework for the development of swarm behaviors. With this framework, it is possible to define a large variety of swarm behaviors, starting from simple movements to more complex ones, such as aggregation, flocking, and collective decision-making. In this paper, we present the main features of the framework and some simple examples of its API usage.

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宏蜂群用于蜂群编程的 scala 框架

由于需要用简单代理之间的局部交互来表达集体行为，因此对蜂群行为进行编程是一项具有挑战性的任务。即使已经提出了一些编程框架，但它们通常都是基于低层次的抽象概念，这使得开发蜂群应用程序变得复杂且容易出错。因此，我们提出了用于开发蜂群行为的集合编程框架--MacroSwarm。有了这个框架，我们就可以定义各种各样的蜂群行为，从简单的运动到更复杂的行为，如聚集、成群和集体决策。在本文中，我们将介绍该框架的主要特点及其应用程序接口使用的一些简单示例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Science of Computer Programming 工程技术-计算机：软件工程

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

67 days

期刊介绍： Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice. The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including • Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software; • Design, implementation and evaluation of programming languages; • Programming environments, development tools, visualisation and animation; • Management of the development process; • Human factors in software, software for social interaction, software for social computing; • Cyber physical systems, and software for the interaction between the physical and the machine; • Software aspects of infrastructure services, system administration, and network management.