The Computation of "Mind Traces"

Based on a brief introduction to the history and current state of artificial intelligence, as well as the fundamental ideas and concepts of cognitive science, this book emphasizes the unique role and significance of knowledge engineering-particularly experience and its tacit knowledge-in intelligent simulation. Using the computation of two types of "mind traces"-computer-aided diagnosis of cardiovascular disease and the simulation of imagery thinking in calligraphy creation-as examples, it elaborates on the approaches, methods, and techniques for simulating thought processes, mining experiential knowledge, and selecting key features, thereby integrating reasoning and learning algorithms to achieve computational results. Furthermore, it broadens the perspective by introducing the interconnections and influences between science, technology, and the arts, and discusses related issues and coping strategies. The author demonstrates deep insight, broad vision, logical clarity, and rigorous expression. This book serves as a reference for researchers and students in the fields of artificial intelligence and cognitive science, cognitive science and philosophy of mind, as well as artistic creation and health computing. Relevant engineering knowledge is shared with readers in the appendix; the placement there merely indicates a difference in the closeness of its connection to the main theme of the book, and does not imply any difference in its intrinsic importance.

本书在简要介绍人工智能的历史与现状、思维科学的基本思想与观念基础上，强调知识工程尤其是经验及其隐性知识在智能模拟中的独特作用和重要意义，并以计算机辅助心血管疾病诊断和书法创作的形象思维模拟这两类"心迹"的计算为实例，阐述思维过程模拟、经验知识挖掘、关键特征选择的思路、方法和技术，进而融合推理和学习算法并获得计算结果。此外，进一步拓展视野，介绍科技与艺术的互相关联和影响，讨论相关问题及应对策略。

作者思考深入、视野开阔，逻辑清晰、表达严谨，可供人工智能与思维科学、认知科学与心智哲学以及艺术创作与健康计算领域的研究者、学生阅读与参考。相关的工程认识等内容在附录中与读者分享，那仅表明与本书主题紧密性的差异，并不意味着其本身重要性的不同。