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首页> 外文期刊>International Journal of Innovation Science >Matrix representation of ideas: stimulating creativity using matrix Algebra
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Matrix representation of ideas: stimulating creativity using matrix Algebra

机译:想法的矩阵表示:使用矩阵代数激发创造力

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Purpose - The purpose of this paper is to present a fresh approach to stimulate individual creativity. It introduces a mathematical representation for creative ideas, six creativity operators and methods of matrix-algebra to evaluate, improve and stimulate creative ideas. Creativity begins with ideas to resolve a problem or tackle an opportunity. By definition, a creative idea must be simultaneously novel and useful. To inject analytic rigor into these concepts of creative ideas, the author introduces a feature-attribute matrix-construct to represent ideas, creativity operators that use ideas as operands and methods of matrix algebra. It is demonstrated that it is now possible to analytically and quantitatively evaluate the intensity of the variables that make an idea more, equal or less, creative than another. The six creativity operators are illustrated with detailed multi-disciplinary real-world examples. The mathematics and working principles of each creativity operator are discussed. Design/methodology/approach - The unit of analysis is ideas, not theory. Ideas are man-made artifacts. They are represented by an original feature-attribute matrix construct. Using matrix algebra, idea matrices can be manipulated to improve their creative intensity, which are now quantitatively measurable. Unlike atoms and cute rabbits, creative ideas, do not occur in nature. Only people can conceive and develop creative ideas for embodiment in physical, non-physical forms, or in a mix of both. For example, as widgets, abstract theorems, business processes, symphonies, organization structures, and so on. The feature-attribute matrix construct is used to represent novelty and usefulness. The multiplicative product of these two matrices forms the creativity matrix. Six creativity operators and matrix algebra are introduced to stimulate and measure creative ideas. Creativity operators use idea matrices as operands. Uses of the six operators are demonstrated using multi-disciplinary real-world examples. Metrics for novelty, usefulness and creativity are in ratio scales, grounded on the Weber-Fechner Law. This law is about persons' ability to discern differences in the intensity of stimuli. Findings - Ideas are represented using feature-attribute matrices. This construct is used to represent novel, useful and creative ideas with more clarity and precision than before. Using matrices, it is shown how to unambiguously and clearly represent creative ideas endowed with novelty and usefulness. It is shown that using matrix algebra, on idea matrices, makes it possible to analyze multi-disciplinary, real-world cases of creative ideas, with clarity and discriminatory power, to uncover insights about novelty and usefulness. Idea-matrices and the methods of matrix algebra have strong explanatory and predictive power. Using of matrix algebra and eigenvalue analyses, of idea-matrices, it is demonstrated how to quantitatively rank ideas, features and attributes of creative ideas. Matrix methods operationalize and quantitatively measure creativity, novelty and usefulness. The specific elementary variables that characterize creativity, novelty and usefulness factors, can now be quantitatively ranked. Creativity, novelty and usefulness factors are not considered as monolithic, irreducible factors, vague "lumpy" qualitative factors, but as explicit sets of elementary, specific and measurable variables in ratio scales. This significantly improves the acuity and discriminatory power in the analyses of creative ideas. The feature-attribute matrix approach and its matrix operators are conceptually consistent and complementary with key extant theories engineering design and creativity. Originality/value - First to define and specify ideas as feature-attribute matrices. It is demonstrated that creative ideas, novel ideas and useful ideas can be analytically and unambiguously specified and measured for creativity. It is significant that verbose qualitative narratives will no longer be the exclusive means to specify creative ideas. Rather, qualitative narratives will be used to complement the matrix specifications of creative ideas. First to specify six creativity operators enabling matrix algebra to operate on idea-matrices as operands to generate new ideas. This capability informs and guides a person's intuition. The myth and dependency, on non-repeatable or non-reproducible serendipity, flashes of "eureka" moments or divine inspiration, can now be vacated. Though their existence cannot be ruled out. First to specify matrix algebra and eigen-value methods of quantitative analyses of feature-attribute matrices to rank the importance of elementary variables that characterize factors of novelty, usefulness and creativity. Use of verbose qualitative narratives of novelty, usefulness and creativity as monolithic "lumpy" factors can now be vacated. Such lumpy narratives risk being ambiguous, imprecise, unreliable and non-reproducible, Analytic and quantit
机译:目的-本文的目的是提出一种激发个人创造力的新方法。它介绍了创意的数学表示,六个创意运算符和矩阵代数的方法,以评估,改进和激发创意。创意始于解决问题或抓住机遇的想法。根据定义,一个创意必须同时新颖且有用。为了对创意概念的这些概念进行严格的分析,作者引入了一种特征属性矩阵构造来表示创意,将创意用作创意的运算符和矩阵代数方法。事实证明,现在可以分析和定量评估使一个创意比另一个创意更多,相等或更少的变量的强度。通过详细的多学科实际示例说明了六个创意运营商。讨论了每个创造力运算符的数学和工作原理。设计/方法/方法-分析的单位是思想,而不是理论。想法是人造的产物。它们由原始的特征-属性矩阵构造表示。使用矩阵代数,可以对思想矩阵进行操作以提高其创造力,这些思想现在可以进行定量测量。与原子和可爱的兔子不同,创意是自然界中不会出现的。只有人才能构思和发展创造性的想法,以物理,非物理形式或两者结合的方式体现出来。例如,作为小部件,抽象定理,业务流程,交响曲,组织结构等。特征-属性矩阵构造用于表示新颖性和实用性。这两个矩阵的乘积形成创造力矩阵。引入了六个创造力算子和矩阵代数来激发和衡量创造力。创造力运算符使用概念矩阵作为操作数。使用多学科的实际示例演示了这六个操作员的用法。新颖性,有用性和创造力的度量标准是基于韦伯-费希纳法则的比例。该法则是关于人辨别刺激强度差异的能力。结果-使用功能属性矩阵表示想法。这种结构用于表示新颖,有用和创新的想法,比以前更清晰,更精确。通过使用矩阵,可以显示如何清楚,清晰地表示具有新颖性和实用性的创意。结果表明,在思想矩阵上使用矩阵代数,可以清晰,有辨别力地分析创造性思想的多学科,真实案例,以发现有关新颖性和实用性的见解。思想矩阵和矩阵代数的方法具有强大的解释和预测能力。使用思想矩阵的矩阵代数和特征值分析,演示了如何对思想,思想的特征和属性进行定量排名。矩阵方法可操作性并定量测量创造力,新颖性和实用性。表征创造力,新颖性和实用性因素的特定基本变量现在可以进行定量排名。创造力,新颖性和实用性因素不被视为整体,不可还原的因素,模糊的“块状”定性因素,而被视为比率量表中基本,特定和可测量变量的明确集合。这极大地提高了对创意分析的敏锐度和歧视能力。特征-属性矩阵方法及其矩阵运算符在概念上是一致的,并且与现有的关键理论工程设计和创造力互补。独创性/价值-首先将思想定义和指定为特征-属性矩阵。事实证明,可以对创意进行分析,明确规定和衡量创意,新颖思想和有用思想。重要的是,冗长的定性叙述将不再是指定创意的唯一手段。相反,定性叙事将用于补充创意的基本规格。首先指定六个创造力运算符,以使矩阵代数可以对思想矩阵进行操作,从而生成新思想。此功能可以告知和指导一个人的直觉。现在可以摆脱对不可重复的或不可复制的偶然性,“尤里卡”时刻的闪光或神圣灵感的神话和依赖。尽管不能排除它们的存在。首先,指定特征属性矩阵定量分析的矩阵代数和特征值方法,以对表征新颖性,实用性和创造力的基本变量的重要性进行排名。现在可以取消使用新颖性,有用性和创造力的详细定性叙述作为整体“块状”因素。此类笨拙的叙述可能存在模棱两可,不精确,不可靠和不可复制的情况,分析和数量

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