Trusted Registration, Negotiation, and Service Evaluation in Multi-Agent Systems throughout the Blockchain Technology

D. Calvaresi, Alevtina Dubovitskaya, Diego Retaggi, A. Dragoni, M. Schumacher
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引用次数: 21

Abstract

Some recent trends in distributed intelligent systems rely extensively on agent-based approaches. The so-called Multi-Agent Systems (MAS) are taking over the management of sensitive data on behalf of their producers and users (e.g., medical records, financial investment, energy market). Therefore, trusted interactions are needed more than ever, while accountability and transparency among the agents seem crucial characteristics to be achieved. To do so, recent trends advocate the use of blockchain technologies (BCT) in MAS. The blockchain is a distributed ledger technology that can execute programmable transaction logic, and provides a shared, immutable, and transparent append-only register of all the actions happening in the network. Although a few theoretical approaches have already been proposed, the quest for such a system consolidating BCT and MAS to guarantee privacy, scalability, transparency, and efficiency continues. This paper presents a reconciling system including BCT within the dynamics of a MAS. Such a system aims at (i) building a solid ground for trusted interactions and (ii) enabling more characterizing feature-based and trustworthy ways of computing agent reputation. The system has been tested in four scenarios with different configurations (regular executions and involving down-agents or malicious behaviors). Finally, the paper summarizes and discusses the experience gained, argues about the strategic choice of binding MAS and BCT, and presents some future challenges.
区块链技术中多代理系统中的可信注册、协商和服务评估
分布式智能系统的一些最新趋势广泛依赖于基于代理的方法。所谓的多代理系统(MAS)正在代表其生产者和用户接管敏感数据的管理(例如,医疗记录、金融投资、能源市场)。因此,比以往任何时候都更需要可信的交互,而代理之间的问责制和透明度似乎是要实现的关键特征。为此,最近的趋势主张在MAS中使用区块链技术(BCT)。区块链是一种分布式账本技术,可以执行可编程的事务逻辑,并为网络中发生的所有操作提供共享、不可变和透明的追加注册。尽管已经提出了一些理论方法,但对这样一个整合BCT和MAS以保证隐私、可扩展性、透明度和效率的系统的探索仍在继续。本文提出了一种包含BCT的MAS动态协调系统。这样的系统旨在(i)为可信交互建立坚实的基础,(ii)实现更多基于特征和可信的计算代理声誉的方法。该系统已经在四种不同配置的场景中进行了测试(常规执行和涉及down代理或恶意行为)。最后,总结和讨论了取得的经验,对MAS与BCT结合的战略选择进行了论证,并提出了未来面临的挑战。
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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