Adaptation of an Autonomous Creative Evolutionary System for Real-World Design Application Based on Creative Cognition

This paper describes the conceptual and implementation shift from a creative research-based evolutionary system to a real-world evolutionary system for professional designers. The initial system, DarwinsGaze, is a Creative Genetic Programing system based on creative cognition theories. It generated� artwork� that� 10,000’s� of� viewers� perceived as human-created art, during its successful run at peer-reviewed, solo shows at noted museums and art galleries. In an effort to improve the system for use with real-world designers, and with multi-person creativity in mind, we began working with a noted design firm exploring potential uses of our technology to support multivariant creative design iteration. This second generation system, titled Evolver, provides designers with fast, unique creative options that expand beyond their habitual selections that can be inserted/extracted from the system process at any time for modular use at varying stages of the creative design process. We describe both systems and the design decisions to adapt our research system, whose goal was to incorporate creativity automatically within its algorithms, to our second generation system, which attempts to take elements of human creativity theories and populate them as tools back into the process. We report on our study with the design firm on the adapted system’s� effectiveness.

[1]  Kumara Sastry,et al.  Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA) , 2006, Scalable Optimization via Probabilistic Modeling.

[2]  Masaki Suwa,et al.  The Roles of Sketches in Early Conceptual Design Processes , 2010 .

[3]  S. Sloman The empirical case for two systems of reasoning. , 1996 .

[4]  Ben Shneiderman,et al.  Creativity support tools: accelerating discovery and innovation , 2007, CACM.

[5]  Steve R. DiPaola,et al.  Incorporating characteristics of human creativity into an evolutionary art algorithm , 2007, GECCO '07.

[6]  Peter J. Bentley,et al.  CREATIVE EVOLUTIONARY SYSTEMS , 2001 .

[7]  Simon Colton,et al.  On impact and evaluation in computational creativity: a discussion of the Turing Test and an alternative proposal , 2011 .

[8]  Julian Francis Miller,et al.  Neutrality and the Evolvability of Boolean Function Landscape , 2001, EuroGP.

[9]  Graeme Ritchie,et al.  Some Empirical Criteria for Attributing Creativity to a Computer Program , 2007, Minds and Machines.

[10]  L. Rips,et al.  Necessity and natural categories. , 2001, Psychological bulletin.

[11]  Liane Gabora,et al.  Cognitive mechanisms underlying the creative process , 2002, Creativity & Cognition.

[12]  L. Gabora Revenge of the “Neurds”: Characterizing Creative Thought in Terms of the Structure and Dynamics of Memory , 2010, 1308.5037.

[13]  Bryan Lawson,et al.  How Designers Think: The Design Process Demystified , 1990 .

[14]  Penousal Machado,et al.  Graph-Based Evolution of Visual Languages , 2010, EvoApplications.

[15]  Matthew J. Streeter,et al.  Evolving inventions. , 2003, Scientific American.

[16]  Julian Francis Miller,et al.  Cartesian genetic programming , 2000, GECCO '10.

[17]  A. D. Ritchie The Creative Mind , 1946, Nature.

[18]  Donald A. Schön Designing: Rules, types and worlds , 1988 .

[19]  J. Piaget The Language and Thought of the Child , 1927 .

[20]  L. Gabora The beer can theory of creativity , 2001, 1309.7414.

[21]  Julian Francis Miller,et al.  Evolutionary Art with Cartesian Genetic Programming , 2003 .

[22]  L. Gabora Creative Thought as a nonDarwinian Evolutionary Process , 2004, nlin/0411057.

[23]  U. Neisser The multiplicity of thought. , 1963, British journal of psychology.

[24]  Janet Browne,et al.  Looking at Darwin: Portraits and the Making of an Icon , 2009, Isis.

[25]  Kevin Padian,et al.  Darwin's enduring legacy , 2008, Nature.

[26]  Gregory J. Feist Handbook of Creativity: The Influence of Personality on Artistic and Scientific Creativity , 1998 .

[27]  Steve R. DiPaola,et al.  How Did Humans Become So Creative? A Computational Approach , 2013, ICCC.

[28]  Jing Luo,et al.  Studying insight problem solving with neuroscientific methods. , 2007, Methods.

[29]  Liane Gabora,et al.  Toward a Theory of Creative Inklings , 2013, 1310.0736.

[30]  Martin Pelikan,et al.  Scalable Optimization via Probabilistic Modeling , 2006, Studies in Computational Intelligence.

[31]  L. Gabora Creative Thought as a non Darwinian Evolutionary Process , 2005 .

[32]  Kyle E. Jennings Developing Creativity: Artificial Barriers in Artificial Intelligence , 2010, Minds and Machines.

[33]  George B. Kauffman,et al.  Creative Evolutionary Systems. Peter J. Bentley and David W. Corne, editors. Academic Press: San Diego, Morgan Kaufmann: San Francisco. £43.95. ISBN 1-55860-673-4 , 2002 .

[34]  Julian Francis Miller,et al.  Improving the Evolvability of Digital Multipliers Using Embedded Cartesian Genetic Programming and Product Reduction , 2005, ICES.