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

机译:整个区块链技术中的多代理系统中的可信注册,协商和服务评估

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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.
机译:分布式智能系统中的一些最新趋势广泛依赖于基于代理的方法。所谓的多智能体系统(MAS)代表其生产者和用户(例如,医疗记录,金融投资,能源市场)接管敏感数据的管理。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性似乎是要实现的关键特征。为此,最近的趋势提倡在MAS中使用区块链技术(BCT)。区块链是一种分布式账本技术,可以执行可编程的交易逻辑,并为网络中发生的所有动作提供共享的,不可变的和透明的仅追加的寄存器。尽管已经提出了一些理论方法,但仍在继续寻求将BCT和MAS合并以确保隐私,可伸缩性,透明性和效率的系统。本文提出了一种在MAS动力学中包括BCT的对帐系统。这样的系统旨在(i)为可信任的交互建立坚实的基础,以及(ii)启用更多特征化的基于特征的可信任方式的计算代理信誉。该系统已在具有不同配置(常规执行以及涉及代理或恶意行为)的四种情况下进行了测试。最后,本文总结并讨论了所获得的经验,讨论了结合MAS和BCT的战略选择,并提出了一些未来的挑战。

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