Specific curiosity as a cause and consequence of transformational creativity

This paper describes a framework by which creative systems can intentionally exhibit transformational creativity. Intentions are derived from surprising events in a process based on specific curiosity. We argue that autonomy of intent is achieved when a creative system directs its generative processes based on knowledge learnt from within its creative domain, and develop a framework to elaborate this behaviour. The framework describes ways that transformation of the creative domain can arise: from learning, from a serendipitous situation, and as a result of intentional exploration. Examples of each of these kinds of transformation are then illustrated through examples in the domain of recipes.

[1]  D. Schoen,et al.  The Reflective Practitioner: How Professionals Think in Action , 1985 .

[2]  Pierre Baldi,et al.  Of bits and wows: A Bayesian theory of surprise with applications to attention , 2010, Neural Networks.

[3]  R. Sternberg,et al.  The concept of creativity: Prospects and paradigms. , 1998 .

[4]  Nigel Cross,et al.  Expertise in Design: an overview , 2004 .

[5]  Donald A. Sch.  The reflective practitioner: how professionals think in action , 1983 .

[6]  David A. Cohn,et al.  Active Learning with Statistical Models , 1996, NIPS.

[7]  David Best,et al.  Intentionality and Art , 1981, Philosophy.

[8]  Donald A. Schön,et al.  Kinds of seeing and their functions in designing , 1992 .

[9]  D. Berlyne.  Curiosity and exploration. , 1966, Science.

[10]  John S. Gero,et al.  Interpretation-driven mapping: A framework for conducting search and rerepresentation in parallel for computational analogy in design , 2015, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

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

[12]  Kush R. Varshney,et al.  A Big Data Approach to Computational Creativity , 2013, ArXiv.

[13]  Julian Togelius,et al.  Transforming Exploratory Creativity with DeLeNoX, , 2021, ICCC.

[14]  R. Weisberg.  Creativity: Beyond the Myth of Genius , 1993 .

[15]  G. Goldschmidt.  The dialectics of sketching , 1991 .

[16]  Simon Colton,et al.  Automated Collage Generation - With Intent , 2010, ICCC.

[17]  Kazjon Grace,et al.  What to expect when you're expecting: The role of unexpectedness in computationally evaluating creativity , 2014, ICCC.

[18]  John S. Gero,et al.  Computational models of creative design IV , 1999 .

[19]  John S. Gero,et al.  Interpretation in design: modelling how the situation changes during design activity , 2014 .

[20]  Terri Gullickson.  The Creative Mind: Myths and Mechanisms. , 1995 .

[21]  Rob Saunders,et al.  Towards Autonomous Creative Systems: A Computational Approach , 2012, Cognitive Computation.

[22]  G. Ritchie.  Assessing Creativity , 2001 .

[23]  Rob Saunders,et al.  Artificial Creative Systems and the Evolution of Language , 2011, ICCC.

[24]  Jacob W. Getzets.  The Creative vision : a longitudinal study of problem finding in art / Jacob W. Getzels, Mihaly Csikszentmihalyi , 1976 .

[25]  Louisa Penfold.  Art as experience , 2017 .

[26]  Dan Ventura,et al.  Soup Over Bean of Pure Joy: Culinary Ruminations of an Artificial Chef , 2012, ICCC.

[27]  Masaki Suwa,et al.  Unexpected discoveries and S-invention of design requirements , 2000 .

[28]  Jürgen Schmidhuber,et al.  Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010) , 2010, IEEE Transactions on Autonomous Mental Development.

[29]  H. Simon,et al.  The Processes of Creative Thinking , 1959 .

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

[31]  Derek Partridge,et al.  Surprisingness and Expectation Failure: What's the Difference? , 1987, IJCAI.

[32]  R. J. Bogumil,et al.  The reflective practitioner: How professionals think in action , 1985, Proceedings of the IEEE.

[33]  M. Boden.  The creative mind : myths & mechanisms , 1991 .

[34]  Antoine Cully,et al.  Robots that can adapt like natural animals , 2014, ArXiv.

[35]  A. Cardoso,et al.  Modeling Forms of Surprise in an Artificial Agent , 2001 .

[36]  Simon Colton,et al.  On the Notion of Framing in Computational Creativity , 2012, ICCC.

[37]  Rob Saunders,et al.  Curious Design Agents and Artificial Creativity - A Synthetic Approach to the Study of Creative Behaviour , 2001 .

[38]  Geraint A. Wiggins,et al.  A preliminary framework for description, analysis and comparison of creative systems , 2006, Knowl. Based Syst..

[39]  Michael Mateas,et al.  Knowledge-level Creativity in Game Design , 2011, ICCC.

[40]  Martin Gebser,et al.  Solution Enumeration for Projected Boolean Search Problems , 2009, CPAIOR.