Engineering design researchers have increasing interests in leveraging artificial intelligence (AI) techniques to a wide range of product design tasks, such as customer requirement analysis, product concept generation, design synthesis, and decision-making in product design. Indeed, AI techniques perform excellently on well-defined design tasks with clear problem definition, specialized solutions, and abundant training data. However, facing the ever-evolving AI techniques rapidly and radically changing the product design manner, there is still a lack of a systematic summary about the current stage of AI-enabled product design. Besides, although the current AI-enabled product design performs excellently on the well-defined tasks, the other advanced design tasks that need cognitive capability can still hardly be satisfyingly completed by the current product design system. This study systematically reviewed the literature on AI-enabled product design to understand its evolution and state-of-the-arts. To bridge the semantic gap between humans and systems, a novel cognitive intelligence-enabled product design (CIPD) framework is proposed, in which cognitive intelligence is the key enabler. The CIPD's key aspects, including its system architecture, human-like capabilities, enabling technologies, and potential applications, are also systematically discussed. It is hoped that this study could contribute to the future directions of the product design field and offer insightful guidance to the practitioners and researchers in their product design process.

中文翻译：

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迈向认知智能产品设计：AI 产品设计的演变、现状和未来


工程设计研究人员对利用人工智能 （AI） 技术完成广泛的产品设计任务越来越感兴趣，例如客户需求分析、产品概念生成、设计综合和产品设计中的决策。事实上，AI 技术在定义明确的设计任务上表现出色，具有明确的问题定义、专业的解决方案和丰富的训练数据。然而，面对不断发展的人工智能技术迅速而彻底地改变产品设计方式，仍然缺乏对人工智能产品设计当前阶段的系统总结。此外，尽管当前的人工智能产品设计在定义明确的任务上表现出色，但其他需要认知能力的高级设计任务仍然难以通过当前的产品设计系统令人满意地完成。本研究系统地回顾了有关 AI 支持的产品设计的文献，以了解其演变和最新技术。为了弥合人类与系统之间的语义鸿沟，提出了一种新的认知智能支持产品设计 （CIPD） 框架，其中认知智能是关键的推动因素。还系统讨论了 CIPD 的关键方面，包括其系统架构、类人能力、使能技术和潜在应用。希望这项研究可以为产品设计领域的未来方向做出贡献，并为从业人员和研究人员在产品设计过程中提供有见地的指导。