The rapid development and widespread adoption of Artificial Intelligence (AI) technologies have made the development of AI-specific design methods an important topic to advance. In recent decades, the centre of gravity in AI has shifted away from cognitive science and related fields like psychology. However, there is a clear need and potential for added value in returning to stronger interaction. One potential challenge for this interaction may be the lack of common conceptual grounds and design languages.

In this article, we aim to contribute to the development of conceptual interfaces for human-based AI-specific design methods through the idea of cognitive mimetics. We begin by introducing basic concepts from mimetic design and interpret them in the context of this thematic area. These provide some of the basic building blocks for a design language and bring to the surface key questions. These in turn provide a ground for explicating cognitive mimetics. In the second part of this paper, we focus on specifying a key aspect in cognitive mimetics: the contents of information processes.

Others engaged in this field can derive value from using or developing the basic conceptual machinery to specify their own approaches in this interdisciplinary field that is still shaping itself. Furthermore, those who resonate with the idea of cognitive mimetics, as specified here, can join in taking this particular approach further.

人工智能（AI）技术的快速发展和广泛采用，使得人工智能专用设计方法的开发成为一个重要的课题。近几十年来，人工智能的重心已经从认知科学和心理学等相关领域转移。然而，在回归更强的互动方面显然有增加价值的需求和潜力。这种交互的一个潜在挑战可能是缺乏共同的概念基础和设计语言。

在本文中，我们的目标是通过认知模仿的思想，为基于人类的人工智能特定设计方法的概念界面的开发做出贡献。我们首先介绍模仿设计的基本概念，并在该主题领域的背景下解释它们。这些为设计语言提供了一些基本构建模块，并让关键问题浮出水面。这些反过来又为解释认知模仿提供了基础。在本文的第二部分，我们重点关注认知模仿的一个关键方面：信息过程的内容。

从事该领域的其他人可以从使用或开发基本概念机制中获得价值，以在这个仍在自我塑造的跨学科领域中指定自己的方法。此外，那些对此处指定的认知模仿思想产生共鸣的人可以加入进一步采取这种特殊方法的行列。