Drive for Creativity

We advance a hypothesis that creativity has evolved with evolution of internal representations, possibly from amniotes to primates, and further in human cultural evolution. Representations separated sensing from acting and gave “internal room” for creativity. To see (or perform any sensing), creatures with internal representations had to modify these representations to fit sensor signals. Therefore the knowledge instinct, KI, the drive to fit representations to the world, had to evolve along with internal representations. Until primates, it remained simple, without language internal representations could not evolve from perceptions to abstract representations, and abstract thoughts were not possible. We consider creative vs. non-creative decision making, and compare KI with Kahneman-Tversky's heuristic thinking. We identify higher, conscious levels of KI with the drive for creativity (DC) and discuss the roles of language and music, brain mechanisms involved, and experimental directions for testing the advanced hypotheses.

[1]  Leonid I. Perlovsky,et al.  Cognitive high level information fusion , 2007, Inf. Sci..

[2]  S. Pinker,et al.  The Language Instinct: How the Mind Creates Language , 1994 .

[3]  L. Perlovsky Symbols: Integrated Cognition and Language , 2007 .

[4]  L. Perlovsky Toward physics of the mind: Concepts, emotions, consciousness, and symbols , 2006 .

[5]  Leonid I. Perlovsky,et al.  Evolving Compositionality in Evolutionary Language Games , 2007, IEEE Transactions on Evolutionary Computation.

[6]  Angelo Cangelosi,et al.  Language and Cognition Integration Through Modeling Field Theory: Category Formation for Symbol Grounding , 2006, ICANN.

[7]  Leonid I. Perlovsky,et al.  Language and emotions: Emotional Sapir-Whorf hypothesis , 2009, Neural Networks.

[8]  A. Tversky,et al.  The framing of decisions and the psychology of choice. , 1981, Science.

[9]  L.I Perlovsky,et al.  Neurally and Mathematically Motivated Architecture for Language and Thought , 2010, The open neuroimaging journal.

[10]  Leonid I. Perlovsky,et al.  Maximum likelihood neural networks for sensor fusion and adaptive classification , 1991, Neural Networks.

[11]  Leonid I. Perlovsky,et al.  Concurrent multi-target localization, data association, and navigation for a swarm of flying sensors , 2007, Inf. Fusion.

[12]  Leonid Perlovsky,et al.  Robust detection and spectrum estimation of multiple sources from rotating-prism spectrometer images , 2006, SPIE Remote Sensing.

[13]  I. Kant,et al.  Critique of judgment , 2000 .

[14]  Leonid Perlovsky,et al.  Simplifying heuristics versus careful thinking: Scientific analysis of millennial spiritual issues , 2008 .

[15]  Moses Maimonides,et al.  A Guide for the Perplexed , 1954 .

[16]  Victor Lyle Dowdell,et al.  Anthropology From a Pragmatic Point of View , 1978 .

[17]  Leonid Perlovsky,et al.  Neural Networks and Intellect: Using Model-Based Concepts , 2000, IEEE Transactions on Neural Networks.

[18]  Leonid I. Perlovsky,et al.  Curiosity and pleasure , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

[19]  William M. Kelley,et al.  Neuroanatomical Evidence for Distinct Cognitive and Affective Components of Self , 2006, Journal of Cognitive Neuroscience.

[20]  Leonid I. Perlovsky,et al.  Language and cognition , 2009, Neural Networks.

[21]  R. Linnehan,et al.  On the design of SAR apertures using the Cramer-Rao bound , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[22]  Leonid Perlovsky,et al.  Intersections of mathematical, cognitive, and aesthetic theories of mind. , 2010 .

[23]  Leonid I. Perlovsky,et al.  Cognitively Inspired Neural Network for Recognition of Situations , 2010, Int. J. Nat. Comput. Res..

[24]  Leonid I. Perlovsky,et al.  Neural Mechanisms of the Mind, Aristotle, Zadeh, and fMRI , 2010, IEEE Transactions on Neural Networks.

[25]  Leonid I. Perlovsky,et al.  A game theoretical approach to the evolution of structured communication codes , 2008, Theory in Biosciences.

[26]  Daniel S. Levine,et al.  How Does the Brain Create, Change, and Selectively Override its Rules of Conduct? , 2007 .

[27]  Leonid I. Perlovsky,et al.  “Vague-to-Crisp” Neural Mechanism of Perception , 2009, IEEE Transactions on Neural Networks.

[28]  Daniel Kahneman,et al.  The Framing of Decisions and the Rationality of Choice. , 1980 .

[29]  A. Tversky,et al.  Judgment under Uncertainty , 1982 .

[30]  J. Mehler,et al.  LANGUAGE AND COGNITION , 1998 .

[31]  S. Grossberg,et al.  Neural dynamics of attentionally modulated Pavlovian conditioning: blocking, interstimulus interval, and secondary reinforcement. , 1987, Applied optics.

[32]  Leonid Perlovsky,et al.  Musical emotions: functions, origins, evolution. , 2010, Physics of life reviews.

[33]  Leonid Perlovsky Music and Consciousness , 2008, Leonardo.

[34]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[35]  Angelo Cangelosi,et al.  2009 Special Issue: Cross-situational learning of object-word mapping using Neural Modeling Fields , 2009 .

[36]  Leonid I. Perlovsky,et al.  How language can help discrimination in the Neural Modelling Fields framework , 2008, Neural Networks.

[37]  E. Halgren,et al.  Top-down facilitation of visual recognition. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[38]  Leonid I. Perlovsky,et al.  Conundrum of Combinatorial Complexity , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[39]  Leonid I. Perlovsky,et al.  Neural Networks for Improved Tracking , 2007, IEEE Transactions on Neural Networks.

[40]  L.i. Perlovsky,et al.  Evolution of Languages, Consciousness and Cultures , 2007, IEEE Computational Intelligence Magazine.

[41]  J. Barnes The Complete Works of Aristotle , 1984 .

[42]  D. Levine Value Maps, Drives, and Emotions , 2011 .

[43]  Leonid Perlovsky,et al.  Modeling Field Theory of Higher Cognitive Functions , 2007 .