Mind and Brain

Book Chapters

Perlovsky, L., Kozma, R. (2007). Editorial - Neurodynamics of Cognition and Consciousness, Chapter in Neurodynamics of Cognition and Consciousness, Perlovsky, L., Kozma, R. (eds), ISBN 978-3-540-73266-2, Springer Verlag, Heidelberg, Germany

Perlovsky, L.I. (2007). Neural Dynamic Logic of Consciousness: the Knowledge Instinct. In Eds. L.I. Perlovsky, R. Kozma, Neurodynamics of High Cognitive Functions, Springer. Preprint.

Perlovsky, L.I. (2007). Sapience, Consciousness, and the Knowledge Instinct (Prolegomena to a physical theory). In Eds. Mayorga, R., Perlovsky, L.I. (2007). Sapient Systems. Springer, London, UK.

Perlovsky, L.I. (2007). Modeling Field Theory of Higher Cognitive Functions. Chapter in A. Loula, R. Gudwin, J. Queiroz, eds., Artificial Cognition Systems. Idea Group, Hershey, PA, pp.64-105.

Perlovsky, L.I. (2007). Neural Networks, Fuzzy Models and Dynamic Logic. Chapter in R. Köhler and A. Mehler, eds., Aspects of Automatic Text Analysis (Festschrift in Honor of Burghard Rieger), Springer, Germany, pp.363-386.

Perlovsky, L.I. (2007). Symbols: Integrated Cognition and Language. Chapter in A. Loula, R. Gudwin, J. Queiroz, eds. Semiotics and Intelligent Systems Development. Idea Group, Hershey, PA, pp.121-151.

Perlovsky, L.I. (2005). Evolving Agents: Communication and Cognition. Chapter in Autonomous Intelligent Systems: Agents and Data Mining, eds:  V. Gorodetsky, J. Liu, V.A. Skormin. Springer-Verlag GmbH.

Review Papers

Perlovsky, L. & Ilin, R. (2009).Computational Foundations for Perceptual Symbol System. Submitted for publication, 10-Sep-2009

Perlovsky, L.I. (2007). Evolution of Languages, Consciousness, and Cultures. IEEE Computational Intelligence Magazine, 2(3), pp.25-39

Perlovsky, L.I. (2006). Toward Physics of the Mind: Concepts, Emotions, Consciousness, and Symbols. Phys. Life Rev. 3(1), pp.22-55.

Perlovsky, L.I. (2005). Music – The First Principle. Role of music in evolution of consciousness. J. Dimitrin web page Musical Theater, http://www.ceo.spb.ru/libretto/kon_lan/ogl.shtml.

Journal and Conference Papers

Perlovsky, L.I. (2009). Neural Mechanisms of the Mind, Aristotle, Zadeh, & fMRI, World Congress on Computational Intelligence (WCCI). Hong Kong, China, IEEE Trans. Neural Networks, submitted 27-Jun-2008.

Perlovsky, L.I. (2009). ‘Vague-to-Crisp’ Neural Mechanism of Perception. IEEE Trans. Neural Networks, in print.

Kozma, R., Puljic, M., and Perlovsky, L. (2008). Modeling goal-oriented decision making through cognitive phase transitions, New Mathematics and Natural Computation, in print.

Levine, D.S., Perlovsky, L.I. (2008). Neuroscientific Insights on Biblical Myths: Simplifying Heuristics versus Careful Thinking: Scientific Analysis of Millennial Spiritual Issues. Zygon, Journal of Science and Religion, 43(4), 797-821.

Perlovsky, L.I. (2007). The Mind vs. Logic: Aristotle and Zadeh. Society for Mathematics of Uncertainty, Critical Review, 1(1), pp. 30-33.

Perlovsky, L.I. (2006). Fuzzy Dynamic Logic. New Math. and Natural Computation, 2(1), pp.43-55.

Perlovsky, L.I. and Fontanari, J.F. (2006). How Language Can Guide Intelligence. Evolution of Languages, 6th Int. Conf, Rome, Italy, 12-15 April 2006. (Abstract)

Perlovsky, L.I. (2002). Physical Theory of Information Processing in the Mind: concepts and emotions. SEED On Line Journal, 2002, 2(2), pp. 36-54.

Psychology, Cognitive Science 1:

Cognition, Philosophy, Aesthetics, Science & Religion

Review Papers

Perlovsky, L.I. (2009). Science and Religion: Scientific Understanding of Emotions of Religiously Sublime. Preprint.

Perlovsky, L.I. (2008). Religion from Scientific Point of View. Invited Lecture. Center for the Study of Religion and Conflict. Arizona State University, 14 Oct 2008.

Perlovsky, L.I. (2002). Aesthetics and mathematical theory of intellect. Russian Academy of Sciences, Moscow, Russia: Iskusstvoznanie, Journal of History and Theory of Art, 2, 558-594. Translated to English 2008.

Invited Lecture

Perlovsky, L.I. (2008). Religion from scientific point of view. Invited Lecture at Science and Religion Seminar, University of Arizona, Tempe AZ.

Journal and Conference Papers

Perlovsky, L.I. (2009). Intersections of Mathematical, Cognitive, and Aesthetic Theories of Mind. Psychology of Aesthetics, Creativity, and Art, in print.

Levine, D.S., Perlovsky, L.I. (2008). Neuroscientific Insights on Biblical Myths: Simplifying Heuristics versus Careful Thinking: Scientific Analysis of Millennial Spiritual Issues. Zygon, Journal of Science and Religion, 43(4), 797-821.

Perlovsky, L.I. (2007). The Mind vs. Logic: Aristotle and Zadeh. Society for Mathematics of Uncertainty, Critical Review, 1(1), pp. 30-33.

Perlovsky, L.I. (2006). Fuzzy Dynamic Logic. New Math. and Natural Computation, 2(1), pp.43-55.

Psychology, Cognitive Science 2:

Language, Music, Symbols,

Origin and Evolution of Languages, Music, and Cultures

Book Chapters

Perlovsky, L.I. (2006). Symbols: Integrated Cognition and Language . Chapter in R. Gudwin, J. Queiroz, Eds. Semiotics and Intelligent Systems Development. Idea Group, Hershey, PA, pp.121-151.

Review Papers

Perlovsky, L.I. (2010). The Role of Music in Evolution of the Mind and Consciousness. Phys. Life Rev. Submitted.

Perlovsky, L. & Ilin, R. (2009).Computational Foundations for Perceptual Symbol System. Submitted for publication, 10-Sep-2009

Perlovsky, L.I. (2007). Evolution of Languages, Consciousness, and Cultures. IEEE Computational Intelligence Magazine, 2(3), pp.25-39

Perlovsky, L.I. (2006). Toward Physics of the Mind: Concepts, Emotions, Consciousness, and Symbols. Phys. Life Rev. 3(1), pp.22-55.

Perlovsky, L.I. (2005). Music – The First Principle. Role of music in evolution of consciousness. Musical Theater, E-journal, http://www.ceo.spb.ru/libretto/kon_lan/ogl.shtml

Journal and Conference Papers

Perlovsky, L.I. (2009). Language and Cognition. Neural Networks, 22(3), 247-257. doi:10.1016/j.neunet.2009.03.007.

Perlovsky, L.I. (2009). Language and Emotions: Emotional Sapir-Whorf Hypothesis. Neural Networks, in print. doi:10.1016/j.neunet.2009.06.034

Fontanari, J.F., Tikhanoff , V., Cangelosi, A., Ilin, R., and Perlovsky, L.I. (2009). Cross-situational learning of object-word mapping using Neural Modeling Fields. Neural Networks, 22, pp. 579-585.

Perlovsky, L.I. (2008). Music and Consciousness, Leonardo, Journal of Arts, Sciences and Technology, 41(4), pp.420-421.

Fontanari, J.F. and Perlovsky, L.I. (2008). How language can help discrimination in the Neural Modeling Fields framework. Neural Networks, 21(2-3), pp. 250–256

Fontanari, J.F. and Perlovsky, L.I. (2008). A game theoretical approach to the evolution of structured communication codes, Theory in Biosciences, 127, pp.205-214.
e-version:
http://dx.doi.org/10.1007/s12064-008-0024-1.

Levine, D.S. and Perlovsky, L.I. (2008). A Network Model of Rational versus Irrational Choices on a Probability Maximization Task. World Congress on Computational Intelligence (WCCI). Hong Kong, China.

Fontanari, J.F. and Perlovsky, L.I. (2007). Evolving Compositionality in Evolutionary Language Games. IEEE Transactions on Evolutionary Computations, 11(6), pp. 758-769; doi:10.1109/TEVC.2007.892763 (2006).

Tikhanoff. V., Fontanari, J. F., Cangelosi, A. & Perlovsky, L. I. (2006). Language and cognition integration through modeling field theory: category formation for symbol grounding. In Book Series in Computer Science, v. 4131, Heidelberg: Springer.

Perlovsky, L.I. and Fontanari, J.F. (2006). How Language Can Guide Intelligence. Evolution of Languages, 6th Int. Conf, Rome, Italy, 12-15 April 2006. (Abstract)

Fontanari, J.F. and Perlovsky, L.I. (2004). Solvable null model for the distribution of word frequencies. Physical Review E 70, 042901 (2004).

Logic

Journal and Conference Papers

Kovalerchuk, B. & Perlovsky, L.I. (2009). Dynamic Logic of Phenomena and Cognition. IJCNN 2009, Atlanta; Submitted for journal publication.

Perlovsky, L.I. (2007). The Mind vs. Logic: Aristotle and Zadeh. Society for Mathematics of Uncertainty, Critical Review, 1(1), pp. 30-33.

Engineering

Book Chapters

Perlovsky, L.I. (2005). Evolving Agents: Communication and Cognition. Chapter in Autonomous Intelligent Systems: Agents and Data Mining, Eds: V. Gorodetsky, J. Liu, V.A. Skormin. Springer-Verlag GmbH, pp.37-49.

Journal and Conference Papers

Ilin, R. & Perlovsky, L. (2009). Learning to Recognize Situations in Unsupervised and Partially Supervised Fashion with Neural Modeling Fields Theory, The Int. Conf. on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS’09), St. Louis, MO, Oct. 11-14, 2009. Submitted for journal publication.

Perlovsky, L.I. (2009). Maximum Likelihood Joint Tracking and Association in a Strong Clutter. IEEE Transactions on AES, submitted 22 July 2009.

Perlovsky L.I & Deming R. (2009). GMTI tracking improved by 18 dB using cognitive algorithm. IEEE Radar Conference, Pasadena, CA.

Kozma, R., Puljic, M., and Perlovsky, L. (2008). Modeling goal-oriented decision making through cognitive phase transitions, New Mathematics and Natural Computation, in print.

Perlovsky, L.I. (2009). ‘Vague-to-Crisp’ Neural Mechanism of Perception. IEEE Trans. Neural Networks, in print.

Perlovsky, L.I. (2008). Bio-Inspired NMF Object Perception. World Congress on Computational Intelligence (WCCI). Hong Kong, China.

Kozma, R., Ankishetty, J., and Perlovsky, L.I. (2008). Model Field Theory for Detection of EEG Phase Cones Using Non-Gaussian Mixture Components. World Congress on Computational Intelligence (WCCI). Hong Kong, China.

Deming, R., and Perlovsky, L.I. (2008). Multi-target/multi-sensor tracking from optical data using Modeling Field Theory. World Congress on Computational Intelligence (WCCI). Hong Kong, China.

Perlovsky, L.I. (2007). Cognitive high level information fusion, Information Sciences, 177, pp. 2099-2118.

Perlovsky, L.I. and Deming, R.W. (2007). Neural Networks for Improved Tracking, IEEE Trans. Neural Networks, 18(6), pp. 1854-1857.

Deming R., Schindler J., Perlovsky L. (2009). Multitarget/Multisensor Tracking using only Range and Doppler Measurements, IEEE Transactions on Aerospace and Electronic Systems, 45 (2), pp. 593-611.

Deming, R.W. and Perlovsky, L.I. (2007). Concurrent multi-target localization, data association, and navigation for a swarm of flying sensors, Information Fusion, 8, pp.316-330.

Perlovsky, L.I. (2007). Fusion of Sensor and Language Signals at Pre-Conceptual Level, Information Sciences, 177, pp. 2099-2118.

Robert Linnehan, David Brady, John Schindler, Leonid Perlovsky, Muralidhar Rangaswamy. (2007). On the Design of SAR Apertures Using the Cram´er-Rao Bound. IEEE Transactions on Aerospace and Electronic Systems, 43(1), pp. 344-355.

Perlovsky, L.I. (2006). Fuzzy Dynamic Logic. New Math. and Natural Computation, 2(1), pp.43-55.

Perlovsky, L.I. and Fontanari, J.F. (2006). How Language Can Guide Intelligence. Evolution of Languages, 6th Int. Conf, Rome, Italy, 12-15 April 2006. (Abstract)

Other

Perlovsky, L.I. (2002). Statistical Limitations on Molecular Evolution. Journal of Biomolecular Structure & Dynamics, 19(6), pp.1031-43.

Perlovsky, L.I. (1998). Conundrum of Combinatorial Complexity. IEEE Trans. PAMI, 20(6) pp. 666-670.

Lectures and Tutorials

Perlovsky, L.I. (2011). DYNAMIC LOGIC: a process-logic: from vague to crisp. Algorithms for data mining, financial prediction, tracking, fusion, language. Cognitive functions of emotions, beautiful, music, and cultural evolution. Tutorial lecture at International Joint IEEE and INNS Conference on Neural Networks (IJCNN’11). San Jose, CA.

Perlovsky, L.I. (2009). Cognitive computational intelligence: data mining, financial prediction, tracking, fusion, language, cognition, and cultural evolution. Tutorial, the IASTED International Conference on Computational Intelligence (CI 2009). Aug 2009 17-19, Honolulu, HI.

Perlovsky, L.I. (2009). Maximum likelihood joint tracking and association in clutter without combinatorial complexity. Invited lecture, University of Connecticut in Storrs.

Perlovsky, L.I. (2009). Modeling evolution of the mind and cultures, SPIE Defense and Security Conference, Orlando, FL.

Perlovsky, L.I. (2008). The knowledge instinct, cognitive algorithms, modeling of language and cultural evolution, Proceedings SPIE Defense and Security Conference, volume "Evolutionary and Bio-Inspired Computation: Theory and Applications II", SPIE Digital Library.

Perlovsky, L.I. (2007). Neural Modeling Fields, Evolution of Consciousness and Cultures. International Joint Conference on Neural Networks, Orlando, FL.

Perlovsky, L.I. (2006). Bio-inspired and Cognitive Algorithms - for Recognition, Data Mining, Tracking, Fusion, Prediction, And Language Understanding. IEEE fall course, Central New England Council.

Perlovsky, L.I. (2006). Joint Evolution of Cognition, Consciousness, and Music. Lectures in Musicology, School of Music, University of Ohio, Columbus.

Perlovsky, L.I. (2005). Integrating Language and Cognition. Tutorial lecture at International Joint IEEE and INNS Conference on Neural Networks (IJCNN’05). Montreal, Quebec, Canada.