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Hortatory operations and the Colloquium: Modeling a human-machine system using knowledge engineering techniques.

机译:园艺操作和研讨会:使用知识工程技术对人机系统进行建模。

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People who operate complex automated systems typically work in a monitoring or supervisory role rather than one involving direct manipulation and command. Research models of control centers generally assume that operators have extensive real-time information about the system and significant levels of influence over it. However, such models have limited applicability in conditions where restricted influence and insufficient information are commonplace. Furthermore, they are less pertinent when jurisdiction over the system is shared among a network of heterogeneous organizations. This study addresses these two distinctive limitations in particular.; The term hortatory operations is proposed as a paradigm to describe circumstances where administrators rely heavily on advice and encouragement, rather than direct control, to influence system behavior. In many cases, they may also be working with inadequate or ill-suited information about activity in the system. The paradigm extends the purview of the supervisory operations model, which is frequently used in the human factors literature. Hortatory operations accepts that communications among system components are somewhat haphazard and ad hoc, rather than being dependent upon extensive and well-understood command-and-response protocols.; The paradigm is particularly helpful in modeling work situations that involve groups of loosely-cooperating organizations. The study also develops a comprehensive model--termed the Colloquium--of this environment. The Colloquium is embodied in the 'network of conversations' among the agent organizations. Information about the system under administration is shared among Colloquium agents using activity or status reports. Several examples of such environments--in transportation, financial crimes enforcement, and computer network administration--are discussed.; The study includes an experimental investigation of the effects of sharing information between Colloquium agents working in freeway traffic management. The responsiveness of a decision-aiding tool, which relies solely upon numeric methods to identify exceptions in traffic conditions, is first measured. It is then supplemented with human operators' routine practices and maxims, which are encoded as knowledge-based heuristics. These are used to introduce into the analysis such qualitative information as can be obtained from other Colloquium agents. The result is a significant improvement in the responsiveness of the integrated system.
机译:操作复杂的自动化系统的人员通常以监视或监督的角色工作,而不是直接操纵和指挥的人员。控制中心的研究模型通常假定操作员具有有关系统的大量实时信息,并且对该系统具有重大影响。但是,这种模型在有限的影响力和不足的信息很普遍的情况下具有有限的适用性。此外,当在异构组织的网络之间共享对系统的管辖权时,它们的相关性较低。这项研究特别解决了这两个明显的局限性。术语“操作性操作”被提议为一种范式,用于描述管理员严重依赖建议和鼓励而不是直接控制来影响系统行为的情况。在许多情况下,他们可能还会使用有关系统活动的信息不足或不合适的信息。该范式扩展了人为因素文献中经常使用的监督操作模型的范围。园艺操作认为,系统组件之间的通信有些偶然且是临时的,而不是依赖于广泛且易于理解的命令和响应协议。该范例在涉及涉及松散合作的组织的工作情况的建模中特别有用。该研究还开发了这种环境的综合模型,称为学术讨论会。座谈会体现在座席组织之间的“对话网络”中。使用活动或状态报告,在座席间的座席之间共享有关所管理系统的信息。讨论了这种环境的几个示例,例如运输,金融犯罪执行和计算机网络管理。这项研究包括对高速公路交通管理工作人员之间共享信息的影响进行的实验研究。首先测量仅依赖于数字方法来识别交通状况中异常情况的决策辅助工具的响应能力。然后,以人类操作员的常规做法和准则作为补充,这些惯例和准则被编码为基于知识的启发式方法。这些用于将可以从其他讨论会代理获得的定性信息引入分析。结果是大大提高了集成系统的响应能力。

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