基于SOAR-RL的实时的语音识别认知方法
A Cognitive Approach to Real-time Rescheduling using SOAR-RL
摘要：
在日益变化和动荡的环境中，确保定制产品的灵活和高效制造，而不牺牲成本效益，产品质量和准时交货已成为大多数工业企业的关键问题。应对这一挑战的一个有希望的方法是将认知能力纳入系统和流程，目的是扩大用于执行管理和业务任务的知识基础。在这项工作中，提出了一种新的方法来实时的【形】重新调度，以实现可持续的改进生产系统的灵活性和适应性，通过人工认知能力的整合，涉及感知，推理/学习和规划技能。此外，一个工业的例子进行了讨论，SOAR认知架构的能力集成在一个软件原型，表明该方法使重新调度系统，以自主的方式响应事件，并通过密集的模拟，同时执行维修任务，以获取经验。
英文摘要：
Ensuring flexible and efficient manufacturing of customized products in an increasing dynamic and turbulent environment without sacrificing cost effectiveness, product quality and on-time delivery has become a key issue for most industrial enterprises. A promising approach to cope with this challenge is the integration of cognitive capabilities in systems and processes with the aim of expanding the knowledge base used to perform managerial and operational tasks. In this work, a novel approach to real-time rescheduling is proposed in order to achieve sustainable improvements in flexibility and adaptability of production systems through the integration of artificial cognitive capabilities, involving perception, reasoning/learning and planning skills. Moreover, an industrial example is discussed where the SOAR cognitive architecture capabilities are integrated in a software prototype, showing that the approach enables the rescheduling system to respond to events in an autonomic way, and to acquire experience through intensive simulation while performing repair tasks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
