An Agent-Based Social Simulation for Citizenship Competences and Conflict Resolution Styles

IF 4.1 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal on Semantic Web and Information Systems Pub Date : 2022-01-01 DOI:10.4018/ijswis.306749

Cecilia Ávila-Garzón, M. Balaguera, Valentina Tabares-Morales

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引用次数: 2

Abstract

The development of citizenship competences plays an important role in a complex system like society. Thus, to analyze how such competences impact other contexts is a great challenge because this kind of study involves the work with people and the use of variables that depend on human behaviors. In this sense, many studies have highlighted the advantage of using simulation systems and tools. In particular, the agent-based social simulation field relies upon the Semantic Web to manage knowledge representation in social scenarios. This study focuses on how citizenship competences impact conflict resolution. Moreover, a simulation model in which citizens interact to resolve conflicts by considering citizenship competences and conflict resolution styles is also introduced. It was developed in NetLogo together with an extension that connects it with the ontology of competences. Results show that the higher interactions of citizens-conflicts, the higher level of citizenship competences, and the number of conflicts solved is higher when using citizenship competences.

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基于主体的公民能力与冲突解决方式社会模拟

公民能力的发展在社会这样一个复杂的系统中起着重要的作用。因此，分析这些能力如何影响其他环境是一个巨大的挑战，因为这类研究涉及与人一起工作，并使用依赖于人类行为的变量。从这个意义上讲，许多研究都强调了使用仿真系统和工具的优势。特别是，基于智能体的社交模拟领域依赖于语义网来管理社交场景中的知识表示。本研究聚焦于公民能力如何影响冲突解决。此外，还介绍了一个模拟模型，其中公民通过考虑公民能力和冲突解决方式来互动解决冲突。它是在NetLogo中开发的，带有一个扩展，将它与能力本体连接起来。结果表明，当使用公民能力时，公民冲突互动程度越高，公民能力水平越高，解决冲突的次数也越多。

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

International Journal on Semantic Web and Information Systems 工程技术-计算机：人工智能

CiteScore

6.20

自引率

12.50%

发文量

审稿时长

20 months

期刊介绍： The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.