AI 中文总结
针对物联网增强型业务流程的涌现行为与不确定性问题，从三方面分析挑战，结合场景与技术现状识别研究缺口并提出分阶段建议，以构建相关研究议程。
AI 中文摘要
物联网（IoT）增强型业务流程因异构参与者、参与系统间不同的自主程度、跨越数字与物理世界且持续演化的执行上下文，以及连续的事件流而具有高度复杂性。在此类场景中，流程行为仅在运行时通过涉及人类、物联网设备、物理对象、软件系统、智能体（agent）和服务的复杂交互部分涌现。这种复杂性带来了部分可观测性、不确定性和运行时动态性，这些均难以预测，且对传统业务流程管理（BPM）的假设与系统构成挑战。我们从三个视角讨论这些挑战：1）不确定性表示；2）物联网增强型流程的可操作化；3）涌现行为的运行时管理。基于一个启发性场景及对现有技术现状的分析，我们识别出未解决的研究缺口，并概述短期、中期和长期建议，以制定物联网增强型业务流程中涌现行为的研究议程。
英文摘要
IoT-enhanced business processes are characterized by high complexity due to heterogeneous actors, varying levels of autonomy among participating systems, continuously evolving execution contexts spanning the digital and physical worlds, and continuous event streams. In such settings, process behavior partially emerges only at runtime through complex interactions involving humans, IoT devices, physical objects, software systems, agents, and services. This complexity introduces partial observability, uncertainty, and runtime dynamics that are difficult to anticipate and that challenge traditional business process management (BPM) assumptions and systems. We discuss these challenges from three perspectives, addressing 1) uncertainty representation, 2) operationalization of IoT-enhanced processes, and 3) runtime management of emergent behavior. Based on a motivating scenario and an analysis of the state of the art, we identify open research gaps and outline short-, medium-, and long-term recommendations to shape a research agenda on emergent behavior in IoT-enhanced business processes.
Comments14 pages, 1 figure, 55 references
