Towards Automation of Creativity: A Machine Intelligence Approach

This paper demonstrates emergence of computational creativity in the field of music. Different aspects of creativity such as producer, process, product and press are studied and formulated. Different notions of computational creativity such as novelty, quality and typicality of compositions as products are studied and evaluated. We formulate an algorithmic perception on human creativity and propose a prototype that is capable of demonstrating human-level creativity. We then validate the proposed prototype by applying various creativity benchmarks with the results obtained and compare the proposed prototype with the other existing computational creative systems.

[1]  M. Yazdani.  A computational model of creativity , 1988 .

[2]  John D. Roslansky.  Creativity : a discussion at the Nobel Conference organized by Gustavus Adolphus College, St. Peter, Minnesota, 1970 , 1970 .

[3]  Simon Colton,et al.  Creativity Versus the Perception of Creativity in Computational Systems , 2008, AAAI Spring Symposium: Creative Intelligent Systems.

[4]  Anna Jordanous,et al.  Four PPPPerspectives on computational creativity in theory and in practice , 2016, Connect. Sci..

[5]  Pablo Gervás,et al.  Reading and Writing as a Creative Cycle: the Need for a Computational Model , 2014, ICCC.

[6]  Pablo Gervás,et al.  WASP: Evaluation of Different Strategies for the Automatic Generation of Spanish Verse , 2002 .

[7]  Simon Colton,et al.  Evaluating Machine Creativity , 2001 .

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

[9]  Sarah Harmon,et al.  FIGURE8: A Novel System for Generating and Evaluating Figurative Language , 2015, ICCC.

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

[11]  Bipin Indurkhya,et al.  Poetry generation system with an emotional personality , 2014, ICCC.

[12]  Tarek Richard Besold,et al.  Generalize and Blend: Concept Blending Based on Generalization, Analogy, and Amalgams , 2015, ICCC.

[13]  John S. Gero,et al.  Multi-dimensional creativity: a computational perspective , 2016 .

[14]  Lidia Khmylko.  Supervised by : , 1991 .

[15]  Anna Jordanous,et al.  Defining Creativity: Finding Keywords for Creativity Using Corpus Linguistics Techniques , 2010, ICCC.