Pilot: Using Causal Relations to Guide Multi-Level Creative Processes

虽然支持创造力的进化计算看起来非常有前途，但目前的方法包括人类创造力来直接指导搜索过程并取代适应度函数，因此创造力不是计算过程的一部分。该项目认为因果关系和因果推理是人类在解决问题、科学发现、发明和设计方面创造力的重要方面。本研究的主要目标是通过将因果关系作为适应度函数的一部分来开发和评估因果引导进化创造力的方法。该项目将发展对将因果推理与遗传搜索过程相结合所涉及的基本原则的理解，该过程已在过去的创造性进化系统中成功使用。本科生将被鼓励在拟议的创造性进化研究整合自己的项目。其他更广泛的影响是，编码的因果关系的具体创造力测试的情况下，应该是有价值的创造力研究人员一般，和振荡记忆和天线阵列的案例研究的结果设计将感兴趣的个人在认知神经科学和电气工程。

While evolutionary computing to support creativity appears very promising, current methods include human creativity to directly guide the search process and to replace the fitness function so the creativity is not part of the computational process. This project considers causal relations and cause and effect reasoning as important aspects of human creativity in problem solving, scientific discovery, invention and design. The primary goal of this research is to develop and evaluate methods for causally guided evolutionary creativity by incorporating cause and effect relationships as part of the fitness function. This project will develop an understanding of the fundamental principles involved in integrating causal inference with the genetic search process that has been used successfully in past creative evolutionary systems. Undergraduate students will be encouraged to integrate their own projects within the proposed creative evolutionary research. Other broader impacts are that the causal relations encoded for the specific creativity test cases should be of value to creativity researchers in general, and the resultant designs of case studies of oscillatory memories and antenna arrays will be of interest to individuals in cognitive neuroscience and electrical engineering.