The Artists who Forged Themselves: Detecting Creativity in Art

Creativity and the understanding of cognitive processes involved in the creative process are relevant to all of human activities. Comprehension of creativity in the arts is of special interest due to the involvement of many scientic and non scientic disciplines. Using digital representation of paintings, we show that creative process in painting art may be objectively recognized within the mathematical framework of self organization, a process characteristic of nonlinear dynamic systems and occurring in natural and social sciences. Unlike the artist identication process or the recognition of forgery, which presupposes the knowledge of the original work, our method requires no prior knowledge on the originality of the work of art. The original paintings are recognized as realizations of the creative process which, in general, is shown to correspond to self-organization of texture features which determine the aesthetic complexity of the painting. The method consists of the wavelet based statistical digital image processing and the measure of statistical complexity which represents the minimal (average) information necessary for optimal prediction. The statistical complexity is based on the properly dened causal states with optimal predictive properties. Two dierent time concepts related to the works of art are introduced: the internal time and the artistic time. The internal time of the artwork is determined by the

[1]  V. Nalimov Self-Organization as a Creative Process Philosophical Aspects , 1994 .

[2]  James Ze Wang,et al.  Studying digital imagery of ancient paintings by mixtures of stochastic models , 2004, IEEE Transactions on Image Processing.

[3]  Karl J. Friston The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.

[4]  Quantifying self-organization in fusion plasmas , 2017 .

[5]  Karl J. Friston Models of brain function in neuroimaging. , 2005, Annual review of psychology.

[6]  Karl J. Friston,et al.  Predictive coding: an account of the mirror neuron system , 2007, Cognitive Processing.

[8]  Jia Li,et al.  Image processing for artist identification , 2008, IEEE Signal Processing Magazine.

[9]  James P. Crutchfield,et al.  Observing Complexity and the Complexity of Observation , 1994 .

[10]  J. Wagemans,et al.  Gestalts as predictions: Some reflections and an application to art , 2011 .

[11]  R. Arnheim Entropy and Art: An Essay on Disorder and Order , 1971 .

[12]  H. Maturana,et al.  Autopoiesis and Cognition : The Realization of the Living (Boston Studies in the Philosophy of Scie , 1980 .

[13]  Siwei Lyu,et al.  A digital technique for art authentication , 2004, Proc. Natl. Acad. Sci. USA.

[14]  K. Svozil Aesthetic complexity , 2005, physics/0505088.

[15]  J. Wagemans,et al.  Putting reward in art: A tentative prediction error account of visual art , 2011, i-Perception.

[16]  E. Jantsch The self-organizing universe : scientific and human implications of the emerging paradigm of evolution , 1980 .

[17]  Eric O. Postma,et al.  Computerized visual analysis of paintings , 2005 .

[18]  P. Grassberger Toward a quantitative theory of self-generated complexity , 1986 .

[19]  Etienne Souriau Time in the Plastic Arts , 1949 .

[20]  Robert D. Nowak,et al.  Wavelet-based statistical signal processing using hidden Markov models , 1998, IEEE Trans. Signal Process..

[21]  Milos Milovanovic,et al.  Quantifying self-organization with optimal wavelets , 2012, 1206.4893.

[22]  R. Feynman The Development of the Space-Time View of Quantum Electrodynamics , 1966 .

[23]  T. Zausner Process and meaning: nonlinear dynamics and psychology in visual art. , 2007, Nonlinear dynamics, psychology, and life sciences.

[24]  Grégoire Nicolis,et al.  Self-Organization in nonequilibrium systems , 1977 .

[25]  Young,et al.  Inferring statistical complexity. , 1989, Physical review letters.

[26]  Shannon M. Hughes,et al.  Stylistic analysis of paintings usingwavelets and machine learning , 2009, 2009 17th European Signal Processing Conference.

[27]  J. Wheeler,et al.  Classical Electrodynamics in Terms of Direct Interparticle Action , 1949 .

[28]  R. Feynman The development of the space-time view of quantum electrodynamics. , 1966, Science.

[29]  G. Weiss,et al.  A First Course on Wavelets , 1996 .