Theory of Concept Generation

In this chapter, a systematized theory of concept generation is developed. The theory classifies the concept generation into the following two types: first-order concept generation, which is based on the similarity-recognition process, and high-order concept generation, which is based on the dissimilarity-recognition process. The close investigation suggests that first-order concept generation is related to the problem–driven phase and high-order concept generation is related to the inner sense–driven phase. Furthermore, the methods to select the appropriate base concepts are discussed as follows. In first-order concept generation, a cue is thought to be obtained in the process of analysing the existing products, while in high-order concept generation, a cue can be captured in the framework of the back-and-forth issue.

[1]  G. Lakoff,et al.  Metaphors We Live By , 1980 .

[2]  Bipin Indurkhya,et al.  Emergent representations, interaction theory and the cognitive force of metaphor , 2006 .

[3]  Alice M. Agogino,et al.  Analogies and metaphors in creative design , 2008 .

[4]  Wn Wybo Houkes,et al.  THE NATURE OF TECHNOLOGICAL KNOWLEDGE , 2009 .

[5]  N. D'Souza The Metaphor of an Ensemble: Design Creativity as Skill Integration , 2011 .

[6]  Toshiharu Taura A Solution to the Back and Forth Problem in the Design Space Forming Process: A Method to Convert Time Issue to Space Issue , 2008 .

[7]  Gabriela Goldschmidt,et al.  Inspiring design ideas with texts , 2011 .

[8]  John S. Gero Expert Systems in Computer-Aided Design , 1987 .

[9]  C. Turbayne The Myth Of Metaphor , 1964 .

[10]  D. G. MacKay,et al.  Metaphor and Thought , 1980 .

[11]  Christina L. Gagné,et al.  Thematic relations and the creation of combined concepts. , 1997 .

[12]  G. Fauconnier,et al.  The Way We Think: Conceptual Blending and the Mind''s Hidden Complexities. Basic Books , 2002 .

[13]  Yoram Reich,et al.  A critical review of General Design Theory , 1995 .

[14]  Linden J. Ball,et al.  Analogical Reasoning and Mental Simulation in Design: Two Strategies Linked to Uncertainty Resolution , 2009 .

[15]  T. Taura,et al.  Concept blending and dissimilarity: factors for creative concept generation process , 2009 .

[16]  Gilles Fauconnier,et al.  Mental Spaces: Aspects of Meaning Construction in Natural Language , 1985 .

[17]  P. Bernus,et al.  BookDesign theory for CAD: H Yoshikawa and E A Warman (eds) North-Holland, Amsterdam, The Netherlands (1987) 460 pp DFl 175.00 , 1989 .

[18]  Yukari Nagai,et al.  Design Creativity 2010 , 2011 .

[19]  Louis L. Bucciarelli,et al.  Between thought and object in engineering design , 2002 .

[20]  Bipin Indurkhya,et al.  Rationality and reasoning with metaphors , 2007 .

[21]  Yoram Reich,et al.  Topological structures for modeling engineering design processes , 2003 .

[22]  M. Polanyi Chapter 7 – The Tacit Dimension , 1997 .

[23]  Raymond Scupin The KJ Method: A Technique for Analyzing Data Derived from Japanese Ethnology , 1997 .

[24]  Bo T. Christensen,et al.  The relationship of analogical distance to analogical function and preinventive structure: the case of engineering design , 2007, Memory & cognition.

[25]  Tetsuo Tomiyama,et al.  Extended general design theory , 1986 .

[26]  Richard Coyne,et al.  Innovation and Creativity in Knowledge-based CAD , 1987 .

[27]  Jyotsna Vaid,et al.  Creative Thought: An Investigation of Conceptual Structures and Processes , 2001 .

[28]  Kazuhisa Kawai,et al.  Idea processor and the KJ method , 1990 .

[29]  Hung-Hsiang Wang,et al.  An Approach to Measuring Metaphoricity of Creative Design , 2011 .

[30]  Toshiharu Taura,et al.  A METHOD FOR SELECTING BASE FUNCTIONS FOR FUNCTION BLENDING IN ODER TO DESIGN FUNCTIONS , 2011 .

[31]  M. Black More about metaphor , 1977 .