Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis

An emotional version of Sapir-Whorf hypothesis suggests that differences in language emotionalities influence differences among cultures no less than conceptual differences. Conceptual contents of languages and cultures to significant extent are determined by words and their semantic differences; these could be borrowed among languages and exchanged among cultures. Emotional differences, as suggested in the paper, are related to grammar and mostly cannot be borrowed. Conceptual and emotional mechanisms of languages are considered here along with their functions in the mind and cultural evolution. A fundamental contradiction in human mind is considered: language evolution requires reduced emotionality, but "too low" emotionality makes language "irrelevant to life," disconnected from sensory-motor experience. Neural mechanisms of these processes are suggested as well as their mathematical models: the knowledge instinct, the language instinct, the dual model connecting language and cognition, dynamic logic, neural modeling fields. Mathematical results are related to cognitive science, linguistics, and psychology. Experimental evidence and theoretical arguments are discussed. Approximate equations for evolution of human minds and cultures are obtained. Their solutions identify three types of cultures: "conceptual"-pragmatic cultures, in which emotionality of language is reduced and differentiation overtakes synthesis resulting in fast evolution at the price of uncertainty of values, self doubts, and internal crises; "traditional-emotional" cultures where differentiation lags behind synthesis, resulting in cultural stability at the price of stagnation; and "multi-cultural" societies combining fast cultural evolution and stability. Unsolved problems and future theoretical and experimental directions are discussed.

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

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

[3]  I. I. Rushakov,et al.  Computed Tomography , 2019, Compendium of Biomedical Instrumentation.

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

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

[6]  D. Layzer,et al.  Arrow of time , 1975 .

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

[8]  Jules Davidoff,et al.  Similarity and categorisation: neuropsychological evidence for a dissociation in explicit categorisation tasks , 1999, Cognition.

[9]  Leonid I. Perlovsky,et al.  Probabilistic Dynamic Logic of Phenomena and Cognition , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

[10]  Jenefer Robinson.  Music and Emotions , 2008 .

[11]  Leonid I. Perlovsky,et al.  A model-based neural network for transient signal processing , 1994, Neural Networks.

[12]  Leonid I. Perlovsky,et al.  Cramer-Rao bound for tracking in clutter and tracking multiple objects , 1997, Pattern Recognit. Lett..

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

[14]  P. Kay,et al.  What is the Sapir-Whorf hypothesis? , 1983 .

[15]  Leonid I. Perlovsky,et al.  Grounded symbols in the brain , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

[16]  S. Grossberg.  Neural Networks and Natural Intelligence , 1988 .

[17]  J. Schindler,et al.  Multi-Target/Multi-Sensor Tracking using Only Range and Doppler Measurements , 2009, IEEE Transactions on Aerospace and Electronic Systems.

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

[19]  Winfred P. Lehmann,et al.  Author's NoteOn the online publication of 'A Reader in Nineteenth Century Historical Indo-European Linguistics' , 2014 .

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

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

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

[23]  Jerzy Tiuryn,et al.  Dynamic logic , 2001, SIGA.

[24]  J. Gleason,et al.  Taboo words and reprimands elicit greater autonomic reactivity in a first language than in a second language , 2003, Applied Psycholinguistics.

[25]  John A. Lucy.  Sapir–Whorf Hypothesis , 2001 .

[26]  S. Grossberg,et al.  Neural dynamics of autistic behaviors: cognitive, emotional, and timing substrates. , 2006, Psychological review.

[27]  S. Pinker.  The Stuff of Thought: Language as a Window into Human Nature , 2007 .

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

[29]  P. Kay,et al.  Categorical perception of color is lateralized to the right hemisphere in infants, but to the left hemisphere in adults , 2008, Proceedings of the National Academy of Sciences.

[30]  Leonid I. Perlovsky,et al.  Dynamic logic of phenomena and cognition , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[31]  Wilhelm von Humboldt.  Über die Verschiedenheit des menschlichen Sprachbaues und ihren Einflu§ auf die geistige Entwickelung des Menschengeschlechts: Und ihren Einfluβ auf die geistige Entwickelung des Menschengeschlechts , 2009 .

[32]  D. Västfjäll,et al.  Emotional responses to music: the need to consider underlying mechanisms. , 2008, The Behavioral and brain sciences.

[33]  Leonid I. Perlovsky,et al.  Cramer-Rao bounds for the estimation of means in a clustering problem , 1988, Pattern Recognit. Lett..

[34]  Leonid Perlovsky,et al.  A MATHEMATICAL THEORY FOR LEARNING, AND ITS APPLICATION TO TIME-VARYING COMPUTED TOMOGRAPHY , 2005 .

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

[36]  Boris Kovalerchuk,et al.  Modeling of Phenomena and Dynamic Logic of Phenomena , 2010 .

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

[38]  J.F. Fontanari,et al.  Meaning creation and modeling field theory , 2005, International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005..

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

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

[41]  Harry F. Harlow,et al.  The human model : primate perspectives , 1979 .

[42]  L. Perlovsky.  Joint Acquisition Of Language And Cognition , 2010 .

[43]  H. Akaike.  A new look at the statistical model identification , 1974 .

[44]  Denise Brandão de Oliveira e Britto,et al.  The faculty of language , 2007 .

[45]  James R. Hurford,et al.  The evolution of human communication and language , 2008 .

[46]  Leonid I. Perlovsky,et al.  SCIENCE AND RELIGION: Scientific Understanding and Mathematical Modeling of Emotions of the Spiritually Sublime , 2010, 1010.3059.

[47]  D. Guttfreund,et al.  Effects of language usage on the emotional experience of Spanish-English and English-Spanish bilinguals. , 1990, Journal of consulting and clinical psychology.

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

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

[50]  J. Cacioppo,et al.  DISPOSITIONAL DIFFERENCES IN COGNITIVE MOTIVATION : THE LIFE AND TIMES OF INDIVIDUALS VARYING IN NEED FOR COGNITION , 1996 .

[51]  P. Lieberman.  Human Language and Our Reptilian Brain , 2002 .

[52]  J. Carroll,et al.  Language, Thought and Reality , 1957 .

[53]  Robert Kozma,et al.  MODELING GOAL-ORIENTED DECISION MAKING THROUGH COGNITIVE PHASE TRANSITIONS , 2009 .

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

[55]  Mithen,et al.  The Singing Neanderthals , 2005 .

[56]  Noam Chomsky,et al.  वाक्यविन्यास का सैद्धान्तिक पक्ष = Aspects of the theory of syntax , 1965 .

[57]  Chris Knight,et al.  The cradle of language , 2009 .

[58]  Leonid I. Perlovsky,et al.  Model-based neural network for target detection in SAR images , 1997, IEEE Trans. Image Process..

[59]  Leonid I. Perlovsky,et al.  Computational concepts in classification: Neural networks, statistical pattern recognition, and model-based vision , 2005, Journal of Mathematical Imaging and Vision.

[60]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[61]  Noam Chomsky,et al.  The faculty of language: what is it, who has it, and how did it evolve? , 2002, Science.

[62]  Bernhard Beckert,et al.  Dynamic Logic , 2007, The KeY Approach.

[63]  David P. Hughes,et al.  Sociobiology of communication : an interdisciplinary perspective , 2008 .

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

[65]  Kenneth Foster,et al.  New math , 2009, IEEE Spectrum.

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

[67]  Leonid Perlovsky,et al.  Grounded Symbols In The Brain, Computational Foundations For Perceptual Symbol System , 2010, 1010.4222.

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

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

[70]  S. Grossberg,et al.  Neural dynamics of attentionally modulated Pavlovian conditioning: Conditioned reinforcement, inhibition, and opponent processing , 1987, Psychobiology.

[71]  Kevin Sharpe.  Inventing the English , 1998 .

[72]  Leonid I. Perlovsky,et al.  Einsteinian neural network for spectrum estimation , 1997, Neural Networks.

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

[74]  Leonid Perlovsky,et al.  Physical Theory of Information Processing in the Mind: Concepts and Emotions , 2002 .

[75]  Zdeněk Salzmann.  Unravelling the Evolution of Language (review) , 2006 .

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

[77]  J. Fontanari,et al.  Solvable null model for the distribution of word frequencies. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[78]  Leonid I. Perlovsky,et al.  Multi-sensor ATR and identification of friend or foe using MLANS , 1995, Neural Networks.

[79]  Leonid Perlovsky,et al.  FUZZY DYNAMIC LOGIC , 2006 .

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

[81]  L. Festinger,et al.  A Theory of Cognitive Dissonance , 2017 .

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

[83]  Leonid I. Perlovsky,et al.  Maximum likelihood adaptive neural controller , 1994, Neural Networks.

[84]  Thomas L. Marzetta,et al.  Estimating a covariance matrix from incomplete realizations of a random vector , 1992, IEEE Trans. Signal Process..

[85]  J.F. Fontanari,et al.  Integrating Language and Cognition: A Cognitive Robotics Approach , 2007, IEEE Computational Intelligence Magazine.

[86]  C. W. Chang,et al.  Beauty and art. , 2006, Facial plastic surgery : FPS.

[87]  Lawrence W Barsalou,et al.  Simulation, situated conceptualization, and prediction , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[88]  Leonid I. Perlovsky,et al.  Neural Networks, Fuzzy Models and Dynamic Logic , 2007, Aspects of Automatic Text Analysis.

[89]  Elizabeth Prettejohn,et al.  Beauty and Art , 2005 .

[90]  D. Signorini,et al.  Neural networks , 1995, The Lancet.

[91]  S. Kosslyn,et al.  Neural foundations of imagery , 2001, Nature Reviews Neuroscience.

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

[93]  Xiaoping P. Hu,et al.  fMRI evidence for word association and situated simulation in conceptual processing , 2008, Journal of Physiology-Paris.

[94]  Leonid I. Perlovsky,et al.  Cramer-Rao bounds for the estimation of normal mixtures , 1989, Pattern Recognit. Lett..

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

[96]  E. Sapir,et al.  Culture, Language, and Personality: Selected Essays , 1949 .

[97]  Leonid I. Perlovsky,et al.  Improved relocatable over‐the‐horizon radar detection and tracking using the maximum likelihood adaptive neural system algorithm , 1998 .

[98]  Terrence W. Deacon,et al.  The neural circuitry underlying primate calls and human language , 1989 .

[99]  Michael C. Frank,et al.  Russian blues reveal effects of language on color discrimination , 2007, Proceedings of the National Academy of Sciences.

[100]  Leonid I. Perlovsky,et al.  Neural Dynamic Logic of Consciousness: the Knowledge Instinct , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

[101]  Leonid Perlovsky.  Modeling Field Theory of Higher Cognitive Functions , 2007 .

[102]  Leonid I. Perlovsky,et al.  Evolving Agents: Communication and Cognition , 2005, AIS-ADM.

[103]  Leonid I. Perlovsky,et al.  On the Design of SAR Apertures using the CramBound , 2007 .

[104]  Leonid I. Perlovsky,et al.  Statistical Limitations on Molecular Evolution , 2002, Journal of biomolecular structure & dynamics.

[105]  J. Cacioppo,et al.  DISPOSITIONAL DIFFERENCES IN COGNITIVE MOTIVATION : THE LIFE AND TIMES OF INDIVIDUALS VARYING IN NEED FOR COGNITION , 1996 .

[106]  Stephen Grossberg,et al.  SOVEREIGN: An autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal , 2008, Neural Networks.

[107]  S. Pinker.  The language instinct : how the mind creates language , 1995 .

[108]  Leonid Perlovsky,et al.  Sapience, Consciousness, and the Knowledge Instinct (Prolegomena to a Physical Theory) , 2008 .