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创造力的计算建模、机器实现及其认知哲学意义
The Computational Modeling, Machine Realization of Creativity and its Cognitive Philosophical Significance
  
中文关键词:  创造力;计算建模;机器实现;人工智能
英文关键词:creativity; computational modeling; machine realization; artificial intelligence
项目:教育部人文社会科学研究规划基金项目“意向性与人工智能建模基础问题研究”(20YJA720003)
作者单位
高新民  
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中文摘要:
      创造力及其计算建模与机器实现的AI探讨具有一箭双雕的意义,一方面,这一探讨有利于真正实现AI所确立的模拟、增强、延伸乃至超越人类智能的理想,另一方面,AI的创造力研究和建模又有反哺哲学和心理学等学科进一步发展对创造力认知的作用,对于我们认识、发展和利用人的创新能力有不可限量的意义。要想让这一领域步入真正的快车道,必须认识到创新能力的多样性,不能局限于建模人类的创新能力,而应有更广泛的模板和更开阔的视野。相应地,这一研究应坚持多元化原则,既模拟人类的创新能力,又模拟非人的创新能力;既让机器完整实现某一创新能力,也让它实现该能力的某一部分或某一要素,甚至让其参与人类的创新。该领域的最大难题是灵感等非逻辑思维能力的理解和建模问题,要予化解,只能在融合自然主义与现象学的基础上,借鉴和发展人脑逆向工程的成果,继续推进对创造力的自然化和计算化。
英文摘要:
      The AI discussion of creativity and its computational modeling and machine realization is of double significance. On the one hand, this discussion is conducive to the real realization of the ideals of simulation, enhancement, extension and even surpassing human intelligence established by AI. On the other hand, AI’s creativity research and modeling has the effect of feeding back the further development of disciplines such as philosophy and psychology on the cognition of creativity, which is of infinite significance for us to understand, develop, and utilize people’s innovative abilities. If this field is expected to enter the real fast lane, it is necessary to recognize that the diversity of innovation capabilities should not be limited to modeling human innovation capabilities, but should have a broader template and a broader vision. Correspondingly, this research should adhere to the principle of diversification, simulating both human innovation ability and non-human innovation ability. The machine not only fully realizes certain innovation ability, but also realizes a certain part or a certain element of the ability, and even participates in the innovation of human beings. The biggest problem in this field is the understanding and modeling of illogical thinking abilities such as inspiration. To resolve this problem, we can only learn from and develop the achievements of human brain reverse engineering based on the integration of naturalism and phenomenology, and continue to promote the naturalization and calculation of creativity.
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