Abstract
Mentalization describes the process through which we understand the mental states of oneself and others. In this paper, I present a computational semiotic model of mentalization and illustrate it through a worked-out example. The model draws on classical semiotic ideas, such as abductive inference and hypostatic abstraction, but pours them into new ideas and tools from natural language processing, machine learning, and neural networks, to form a novel model of language-mediated-mentalization.
References
Clark, Herbert H. 1996. Using language. Cambridge: Cambridge University Press.Search in Google Scholar
Danesi, Marcel. 2014. Signs of crime: Introducing forensic semiotics. Berlin: Walter de Gruyter.10.1515/9781614513162Search in Google Scholar
Hoey, Michael. 1991. Patterns of lexis in text. Oxford: Oxford University Press.Search in Google Scholar
Kintsch, Walter. 1998. Comprehension: A paradigm for cognition. Cambridge: Cambridge University Press.Search in Google Scholar
Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard & David McClosky. 2014. The stanford CoreNLP natural language processing toolkit. In Kalina Bontcheva & Zhu Jingbo (eds.), Proceedings of the 52nd annual meeting of the association for computational linguistics: System demonstrations, 55–60. Baltimore: Association for Computational Linguistics.10.3115/v1/P14-5010Search in Google Scholar
Mikolov, Thomas, Ilya Sutskever, Kai Chen, Greg Corrado & Jeffrey Dean. 2013. Distributed representations of words and phrases and their compositionality. In C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani & K. Q. Weinberger (eds.), Advances in neural information processing systems, vol. 26, 3111–3119. Red Hook, NY: Curran.Search in Google Scholar
Nakashole, Ndapandula & Tom M. Mitchell. 2014. Micro reading with priors: Towards second generation machine readers. In Proceedings of the fourth workshop on Automated Knowledge Base Construction (AKBC), at NIPS. Montreal, CanadaSearch in Google Scholar
Neuman, Yair. 2003. Processes and boundaries of the mind: Extending the limit line. New York: Springer.10.1007/978-1-4419-9078-5Search in Google Scholar
Neuman, Yair. 2008. Reviving the living: Meaning making in living systems. Oxford: Elsevier.Search in Google Scholar
Neuman, Yair & Yochai Cohen. 2016. A novel methodology for automatically measuring psychological dimensions in textual data. Computer Journal 59(9). 1408–1414.10.1093/comjnl/bxv109Search in Google Scholar
Peirce, Charles. S. 1873. Description of a notation for the logic of relatives, resulting from an amplification of the conceptions of Boole’s calculus of logic. Memoirs of the American Academy of Arts and Sciences 9(2). 317–378.10.2307/25058006Search in Google Scholar
Peirce, Charles. S. 1897. The logic of relatives. The Monist 7(2). 161–217.10.5840/monist18977231Search in Google Scholar
Peirce, Charles S. 1931–1966. The collected papers of Charles S. Peirce. vol. 8 C. Hartshorne, P. Weiss & A. W. Burks (eds.). Cambridge: Harvard University Press. [Reference to Peirce’s papers will be designated CP followed by volume and paragraph number.].Search in Google Scholar
Peirce, Charles. S. 1985 [1901]. The proper treatment of hypotheses: A preliminary chapter, toward an examination of Hume’s argument against miracles, in its logic and in its history (ms 692). Historical Perspectives on Peirce’s Logic of Science 2. 898–899.Search in Google Scholar
Shukman, Ann. (ed.). 1983. Bakhtin school papers. vol. 10. Essex: RPT Publications in association with Dept. of Literature, University of Essex.Search in Google Scholar
Tomasello, Michael. 2010. Origins of human communication. Boston, MA: MIT press.Search in Google Scholar
Volosinov, Valentine. N. 1986 [1929]. Marxism and the philosophy of language. Cambridge, MA: Harvard University Press.Search in Google Scholar
Zipf, George. K. 2016 [1949]. Human behavior and the principle of least effort: An introduction to human ecology. Vantaa: Ravenio.Search in Google Scholar
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