Free Will and Advances in Cognitive Science
Leonid Perlovsky
Harvard University, Charlestown, USA.
DOI: 10.4236/ojpp.2012.21005   PDF    HTML     7,662 Downloads   14,497 Views   Citations


Freedom of will is fundamental to morality, intuition of self, and normal functioning of society. However, science does not provide a clear logical foundation for this idea. This paper considers the fundamental argument against free will, so called reductionism, and why the choice for dualism against monism, follows logically. Then, the paper summarizes unexpected conclusions from recent discoveries in cognitive science. Classical logic turns out not to be a fundamental mechanism of the mind. It is replaced by dynamic logic. Mathematical and experimental evidence are considered conceptually. Dynamic logic counters logical arguments for reductionism. Contemporary science of mind is not reducible; free will can be scientifically accepted along with scientific monism.

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Perlovsky, L. (2012) Free Will and Advances in Cognitive Science. Open Journal of Philosophy, 2, 32-37. doi: 10.4236/ojpp.2012.21005.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Arbib, M. (2005). From monkey-like action recognition to human language: An evolutionary framework for neurolinguistics. Behavioral and Brain Sciences, 28, 105-167. doi:10.1017/S0140525X05000038
[2] Bar, M. et al. (2006). Top-down facilitation of visual recognition. PNAS, 103, 449-454. doi:10.1073/pnas.0507062103
[3] Barsalou, L. (1999). Perceptual symbol systems. Behavioral and Brain Sciences, 22, 577-660.
[4] Bellman, R. (1961). Adaptive control processes. Princeton, NJ: Princeton University Press.
[5] Bering, J. (2010). Scientists say free will probably doesn’t exist, but urge: “Don’t stop believing!” Scientific American Mind. URL (last checed 6 April 2010).
[6] Bielfeldt, D. (2009). Freedom and neurobiology: Reflections on free will, language, and political power. Zygon, 44, 999-1002. doi:10.1111/j.1467-9744.2009.01048.x
[7] Chalmers, D. J. (1995). Facing up to the problem of consciousness. Journal of Consciousness Studies, 2, 200-219.
[8] Deming, R., & Perlovsky, L. (2007). Concurrent multi-target localization, data association, and navigation for a swarm of flying sensors, Information Fusion, 8, 316-330. doi:10.1016/j.inffus.2005.11.001
[9] Fontanari, J., & Perlovsky, L. (2007). Evolving compositionality in evolutionary language games. IEEE Transactions on Evolutionary Computations, 11, 758-769. doi:10.1109/TEVC.2007.892763
[10] Fontanari, J., & Perlovsky, L. (2008a). How language can help discrimination in the neural modeling fields framework. Neural Networks, 21, 250-256. doi:10.1016/j.neunet.2007.12.007
[11] Fontanari, J., & Perlovsky, L. (2008b). A game theoretical approach to the evolution of structured communication codes. Theory in Biosciences, 127, 205-214. doi:10.1007/s12064-008-0024-1
[12] Glassman, R. (1983). Free will has a neural substrate: Critique of Joseph F. Rychlak’s discovering free will and personal responsibility. Zygon, 18, 17-82. doi:10.1111/j.1467-9744.1983.tb00498.x
[13] G?del, K. (1934). Kurt G?del collected works, I. In S. Feferman et al, (Ed.), Cambridge, MA: Oxford University Press.
[14] Grossberg, S. (1988). Neural networks and natural intelligence. Cambridge, MA: MIT Press.
[15] Jaynes, J. L. (1976). The origin of consciousness in the breakdown of the bicameral mind. Boston, MA: Houghton Mifflin Co.
[16] Levine, D., & Perlovsky, L. (2008). Neuroscientific insights on biblical myths: Simplifying heuristics versus careful thinking: Scientific analysis of millennial spiritual issues. Zygon, Journal of Science and Religion, 43, 797-821.
[17] Libet B. (1999). Do we have free will? Journal of Consciousness Studies, 6, 47-57.
[18] Lim, D. (2008). Did my neurons make me do it? Philosophical and neurobiological perspectives on moral responsibility and free will. Zygon, 43, 748-753. doi:10.1111/j.1467-9744.2008.00953.x
[19] Mayorga, R., & Perlovsky, L. (Eds.) (2008). Sapient systems. London: Springer.
[20] Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision. New York: McGraw-Hill Book.
[21] Perlovsky, L. (1987). Multiple sensor fusion and neural networks. DARPA Neural Network Study.
[22] Perlovsky, L. (1989). Cramer-rao bounds for the estimation of normal mixtures. Pattern Recognition Letters, 10, 141-148. doi:10.1016/0167-8655(89)90079-2
[23] Perlovsky, L. (1994). A model based neural network for transient signal processing. Neural Networks, 7, 565-572. doi:10.1016/0893-6080(94)90113-9
[24] Perlovsky, L. (1996). G?del theorem and semiotics. Proceedings of the Conference on Intelligent Systems and Semiotics ’96, Gaithersburg, 2, 14-18.
[25] Perlovsky, L. (1998). Conundrum of combinatorial complexity. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 666-670. doi:10.1109/34.683784
[26] Perlovsky, L. (2001). Neural networks and intellect: Using model based concepts. New York: Oxford University Press.
[27] Perlovsky, L. (2004). Integrating language and cognition. IEEE Connections, 2, 8-12.
[28] Perlovsky, L. (2006a). Toward physics of the mind: Concepts, emotions, consciousness, and symbols. Physics of Life Reviews, 3, 23-55. doi:10.1016/j.plrev.2005.11.003
[29] Perlovsky, L. (2006b). Neural networks, fuzzy models and dynamic logic. In R. K?hler, & A. Mehler (Ed.), Aspects of automatic text analysis (Festschrift in Honor of Burghard Rieger) (pp. 363-386). Heidelberg: Springer. doi:10.1007/978-3-540-37522-7_17
[30] Perlovsky, L. (2006c). Music—The first principle. Musical Theater.
[31] Perlovsky, L. (2006d). Joint evolution of cognition, consciousness, and music. Lectures in Musicology, School of Music. Columbus: Ohio State University.
[32] Perlovsky, L. (2007a). Neural dynamic logic of consciousness: The knowledge instinct. In R. Kozma, & L. Perlovsky (Ed.), Neurodynamics of higher-level cognition and consciousness. Heidelberg: Springer-Verlag. doi:10.1007/978-3-540-73267-9_5
[33] Perlovsky, L. (2007b). Cognitive high level information fusion. Information Sciences, 177, 2099-2118. doi:10.1016/j.ins.2006.12.026
[34] Perlovsky, L. (2007c). Modeling field theory of higher cognitive functions. In A. Loula, R. Gudwin, & J. Queiroz (Ed.), Artificial cognition systems (pp. 64-105). Hershey, PA: Idea Group.
[35] Perlovsky, L. (2007d). Evolution of languages, consciousness, and cultures. IEEE Computational Intelligence Magazine, 2, 25-39. doi:10.1109/MCI.2007.385364
[36] Perlovsky, L. (2007e). Symbols: Integrated cognition and language. In R. Gudwin, & J. Queiroz (Eds.), Semiotics and intelligent systems development (pp. 121-151). Hershey, PA: Idea Group.
[37] Perlovsky, L. (2008). Sapience, consciousness, and the knowledge instinct. (Prolegomena to a physical theory). In R. Mayorga, & L. I. Perlovsky, (Eds.), Sapient systems. London: Springer.
[38] Perlovsky, L. (2009a). Language and cognition. Neural Networks, 22, 247-257. doi:10.1016/j.neunet.2009.03.007
[39] Perlovsky, L. (2009b). Language and emotions: Emotional sapir-whorf hypothesis. Neural Networks, 22, 518-526. doi:10.1016/j.neunet.2009.06.034
[40] Perlovsky, L. (2009c). “Vague-to-crisp” neural mechanism of perception. IEEE Transactions on Neural Networks, 20, 1363-1367. doi:10.1109/TNN.2009.2025501
[41] Perlovsky, L. (2010a). Intersections of mathematical, cognitive, and aesthetic theories of mind. Psychology of Aesthetics, Creativity, and the Arts, 4, 11-17. doi:10.1037/a0018147
[42] Perlovsky, L. (2010b). Neural mechanisms of the mind, aristotle, zadeh, & fMRI. IEEE Transactions on Neural Networks, 21, 718-733. doi:10.1109/TNN.2010.2041250
[43] Perlovsky, L. (2010c). The mind is not a kludge. Skeptic, 15, 50-55.
[44] Perlovsky, L. (2010d).
[45] Perlovsky, L., Bonniot, C., Marie, C., & Cabanac, M. (2010). Curiosity and pleasure. Webmed Central Psychology, 1, WMC001275.
[46] Perlovsky, L., Chernick, J. l., & Schoendorf, W. (1995). Multi-sensor ATR and identification friend or foe using MLANS. Neural Networks, 8, 1185-1200. doi:10.1016/0893-6080(95)00078-X
[47] Perlovsky, L., & Deming, R. (2007). Neural networks for improved tracking. IEEE Transactions on Neural Networks, 18, 1854-1857. doi:10.1109/TNN.2007.903143
[48] Perlovsky, L., & Ilin, R. (2010a). Neurally and mathematically motivated architecture for language and thought. Special issue “brain and language architectures: Where we are now?” The Open Neuroimaging Journal, 4, 70-80. doi:10.2174/1874440001004020070
[49] Perlovsky, L., & Ilin, R. (2010b). Grounded symbols in the brain, computational foundations for perceptual symbol system. WebmedCentral Psychology, 1, WMC001357.
[50] Perlovsky, L., & Kozma, R. (Eds.) (2007). Neurodynamics of higher- level cognition and consciousness. Heidelberg: Springer-Verlag.
[51] Perlovsky, L., & Mayorga, R. (2008). Preface. In R. Mayorga, & L. I. Perlovsky (Eds.), Sapient systems. London: Springer.
[52] Perlovsky, L., & McManus, M. (1991). Maximum likelihood neural networks for sensor fusion and adaptive classification. Neural Networks, 4, 89-102. doi:10.1016/0893-6080(91)90035-4
[53] Perlovsky, L., Plum, C., Franchi, P., Tichovolsky, E., Choi, D., & Weijers, B. (1997). Einsteinian neural network for spectrum estimation. Neural Networks, 10, 1541-1546. doi:10.1016/S0893-6080(97)00081-6
[54] Perlovsky, L., Schoendorf, W., Burdick, B., & Tye, D. (1997). Model-based neural network for target detection in SAR images. IEEE Transactions on Image Processing, 6, 203-216. doi:10.1109/83.552107
[55] Rychlak, J. (1983). Free will as transcending the unidirectional neural substrate. Zygon, 18, 439-442. doi:10.1111/j.1467-9744.1983.tb00527.x
[56] Tikhanoff, V., Fontanari, J., Cangelosi, A., & Perlovsky, L. (2006). Language and cognition integration through modeling field theory: category formation for symbol grounding. Book Series in Computer Science, 4131. Heidelberg: Springer.
[57] Tversky, A., & Daniel, K. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124-1131. doi:10.1126/science.185.4157.1124
[58] Tversky, A,, and Daniel, K. (1981). The framing of decisions and the rationality of choice. Science, 211, 453-458. doi:10.1126/science.7455683
[59] Velmans, M. (2003). Preconscious free will. Journal of Consciousness Studies, 10, 42-61.
[60] Velmans, M. (2008). Reflexive monism. Journal of Consciousness Studies, 15, 5-50.
[61] Wikipedia (2010a). Free will.
[62] Wikipedia (2010b). Baruch spinoza.
[63] Wikipedia (2010c). René descartes.
[64] Wikipedia (2010d). David chalmers. David_Chalmers
[65] Winston, P. (1984) Artificial intelligence (2nd ed.). Reading, MA: Addison-Wesley.

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