MAS-Aided Approval for Bypassing Decentralized Processes: an Architecture

Timotheus Kampik, A. Najjar, D. Calvaresi
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引用次数: 2

Abstract

Executing business processes in a decentralized manner can improve inter-organizational efficacy. For example, blockchain-based process execution allows, at least conceptually, for cross-organizational compatibility, data integration, and integrity assurance without the need for a centralized trusted operator. However, most business processes run in agile and rapidly changing business environments. Updating a decentralized process requires continuous and extensive consensus-building efforts. Reflecting all organizations' business requirements is hardly practicable. Hence, in many real-life scenarios, to support cases with initially unforeseen properties, organizations can allow to bypass the decentralized process and fall-back to local variants. Yet, the decision to bypass or update a given process can have significant social implications since it may encourage a social dynamic that encourages collective avoidance of the decentralized process. This paper proposes a multi-agent simulation system to assess the social consequences of approving a bypass under given conditions. The proposed simulation is intended to inform the decision-maker (human or machine) on whether to allow to bypass a process or not. Moreover, we present an architecture for the integration of multi-agent simulation system, local process engine, and decentralized process execution environment, and describe a possible implementation with a particular tool chain.
绕过分散过程的mas辅助批准:一个体系结构
以分散的方式执行业务流程可以提高组织间的效率。例如,基于区块链的流程执行至少在概念上允许跨组织的兼容性、数据集成和完整性保证,而不需要一个集中的可信运营商。然而,大多数业务流程运行在敏捷且快速变化的业务环境中。更新一个分散的进程需要不断和广泛的建立协商一致的努力。反映所有组织的业务需求几乎是不可行的。因此,在许多现实场景中,为了支持具有最初不可预见属性的情况,组织可以允许绕过分散的流程并退回到本地变体。然而,绕过或更新某一特定过程的决定可能会产生重大的社会影响,因为它可能会鼓励一种鼓励集体避免分散过程的社会动态。本文提出了一个多智能体仿真系统来评估在给定条件下批准旁路的社会后果。建议的模拟旨在通知决策者(人或机器)是否允许绕过某个流程。此外,我们还提出了一种集成多智能体仿真系统、本地流程引擎和分散流程执行环境的体系结构,并描述了一种使用特定工具链的可能实现。
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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