Supporting heterogeneous agent mobility with ALAS

Author:

Mitrovic Dejan1,Ivanovic Mirjana1,Budimac Zoran1,Vidakovic Milan2

Affiliation:

1. Faculty of Sciences, Department of Mathematics and Informatics, Novi Sad

2. Faculty of Technical Sciences, Novi Sad

Abstract

Networks of multi-agent systems are considered to be heterogeneous if they include systems with different sets of APIs, running on different virtual machines. Developing an agent that can operate in this kind of a setting is a difficult task, because the process requires regeneration of the agent?s executable code, as well as modifications in the way it communicates with the environment. With the main goal of providing an effective solution to the heterogeneous agent mobility problem, a novel agent-oriented programming language, named ALAS, is proposed. The new language also provides a set of programming constructs that effectively hide the complexity of the overall agent development process. The design of the ALAS platform and an experiment presented in this paper will show that an agent written in ALAS is able to work in truly heterogeneous networks of multi-agent systems.

Publisher

National Library of Serbia

Subject

General Computer Science

Reference1 articles.

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ALAS: agent-oriented domain-specific language for the development of intelligent distributed non-axiomatic reasoning agents;Enterprise Information Systems;2018-06-06

2. How Research Achievements Can Influence Delivering of a Course - Siebog Agent Middleware;Agents and Multi-Agent Systems: Technologies and Applications 2018;2018-05-31

3. Fault-Tolerance in XJAF Agent Middleware;Transactions on Computational Collective Intelligence XXX;2018

4. Role of Non-Axiomatic Logic in a Distributed Reasoning Environment;Computational Collective Intelligence;2017

5. The Siebog multiagent middleware;Knowledge-Based Systems;2016-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3