Machine Computing Function Designing for Creative Thinking

Zhu Ping
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Abstract

With a case study of humanoid resolving mathematics application problems in primary school, this paper discusses the basic theoretical method of creative thinking. This paper holds that the memory and analogy “teaching and learning” mode is the main way to realize machine intelligence. Through certain granularity knowledge splitting and analogy reorganization, creative thinking can be realized by machine computing. By the design and implementation of the creative thinking exploration IDE, this paper realizes the basic creative thinking process by analogy. Firstly, natural language semantic representing and matching are carried out with scene framework; Secondly, machine analysis of problem resolving is carried out; Then, algorithm is used to simulate the running process of thinking; finally, the main realization challenges of the creative thinking are prospected.
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创造性思维下的机器计算功能设计
本文以仿人机器人解决小学数学应用问题为例,探讨创造性思维的基本理论方法。本文认为,记忆与类比的“教与学”模式是实现机器智能的主要途径。通过一定粒度的知识拆分和类比重组,创造性思维可以通过机器计算实现。本文通过创造性思维探索IDE的设计与实现,通过类比法实现了创造性思维的基本过程。首先,利用场景框架进行自然语言语义表示和匹配;其次,进行问题解决的机器分析;然后,用算法模拟思维的运行过程;最后,对创造性思维的主要实现挑战进行了展望。
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