多智能体系统建模:膜计算的经验和未来的挑战

AMCA-POP Pub Date : 2010-08-18 DOI:10.4204/EPTCS.33.5
P. Kefalas, I. Stamatopoulou
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引用次数: 5

摘要

由于多智能体系统(MAS)的高度复杂性、交互性、并行性以及智能体之间角色和组织的不断变化,其形式化建模是一项具有挑战性的任务。本文记录了我们在MAS形式化建模方面的研究经验。我们回顾了过去十年的研究,描述了我们遇到的问题,以及我们为解决这些问题和提供解决方案所做的决定。这项工作的大部分涉及膜计算和P系统的分类,如组织和群体P系统,针对MAS的建模,其动态结构是一个突出的特征。更具体地说,社会性昆虫(如蚁群、蜜蜂等)、生物启发的群体和具有紧急行为的系统是我们开发正式MAS模型的指示性例子。在这里,我们的目标是回顾我们的工作,并将我们的发现传播给可能面临类似挑战的研究人员,此外,我们还讨论了推进膜计算在MAS建模中的应用研究的重要问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling of Multi-Agent Systems: Experiences with Membrane Computing and Future Challenges
Formal modelling of Multi-Agent Systems (MAS) is a challenging task due to high complexity, interaction, parallelism and continuous change of roles and organisation between agents. In this paper we record our research experience on formal modelling of MAS. We review our research throughout the last decade, by describing the problems we have encountered and the decisions we have made towards resolving them and providing solutions. Much of this work involved membrane computing and classes of P Systems, such as Tissue and Population P Systems, targeted to the modelling of MAS whose dynamic structure is a prominent characteristic. More particularly, social insects (such as colonies of ants, bees, etc.), biology inspired swarms and systems with emergent behaviour are indicative examples for which we developed formal MAS models. Here, we aim to review our work and disseminate our findings to fellow researchers who might face similar challenges and, furthermore, to discuss important issues for advancing research on the application of membrane computing in MAS modelling.
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