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共同点:迈向计算概念发明理论

COINVENT: Towards a Computational Concept Invention Theory
课程网址: https://videolectures.net/iccc2014_schorlemmer_invention_theory/  
主讲教师: Marco Schorlemmer
开课单位: 西班牙国家研究委员会
开课时间: 2014-08-08
课程语种: 英语
中文简介:

我们旨在基于Fauconnier和Turner的概念融合理论,并基于可靠的概念数学理论,开发一种在计算上可行,受到认知启发的概念发明的正式模型。尽管概念融合成功地应用于描述各种领域中的组合创造力,但由于其缺乏足够精确的数学特征,它几乎没有用于实现创造性的计算系统。我们将定义的模型将基于Goguen提出的统一概念理论,并将借鉴认知科学,人工智能,形式方法和计算创造力的跨学科研究成果。为了验证我们的模型,我们将实施一个自主计算创意系统的概念证明,该系统将在两个测试场景中进行评估:数学推理和旋律协调。我们认为,该项目的结果对于获得对创造力的更深入的科学理解,促进理解与增强人类创造力之间的协同作用以及为自主创新系统开发新技术具有重要意义。

课程简介: We aim to develop a computationally feasible, cognitively-inspired, formal model of concept invention, drawing on Fauconnier and Turner’s theory of conceptual blending, and grounding it on a sound mathematical theory of concepts. Conceptual blending, although successfully applied to describing combinational creativity in a varied number of fields, has barely been used at all for implementing creative computational systems, mainly due to the lack of sufficiently precise mathematical characterisations thereof. The model we will define will be based on Goguen’s proposal of a Unified Concept Theory, and will draw from interdisciplinary research results from cognitive science, artificial intelligence, formal methods and computational creativity. To validate our model, we will implement a proof of concept of an autonomous computational creative system that will be evaluated in two testbed scenarios: mathematical reasoning and melodic harmonisation. We envisage that the results of this project will be significant for gaining a deeper scientific understanding of creativity, for fostering the synergy between understanding and enhancing human creativity, and for developing new technologies for autonomous creative systems.
关 键 词: 概念发明形式模型; 统一概念理论; 自主计算创意系统
课程来源: 视频讲座网
数据采集: 2020-06-02:吴淑曼
最后编审: 2020-06-11:chenxin
阅读次数: 46