Computational semiotics

Computational semiotics is an interdisciplinary field that applies, conducts, and draws on research in logic, mathematics, the theory and practice of computation, formal and natural language studies, the cognitive sciences generally, and semiotics proper. The term encompasses both the application of semiotics to computer hardware and software design and, conversely, the use of computation for performing semiotic analysis. The former focuses on what semiotics can bring to computation; the latter on what computation can bring to semiotics.

Semiotics
 
General concepts
Fields
Methods
Semioticians
Related topics

See also

References
  1. Shackell, Cameron; Sitbon, Laurianne (2020-01-29). "Computational opposition analysis using word embeddings: A method for strategising resonant informal argument". Argument & Computation. 10 (3): 301–317. doi:10.3233/AAC-190467.
  2. Neuman, Yair; Danesi, Marcel; Cohen, Yochai; Assaf, Dan (2015). "Opposition theory and computational semiotics". Σημειωτκή - Sign Systems Studies. 43 (2–3): 159–172. doi:10.12697/SSS.2015.43.2-3.01. ISSN 1406-4243.
  3. Chartier, Jean-François; Pulizzotto, Davide; Chartrand, Louis; Meunier, Jean-Guy (2019-10-25). "A data-driven computational semiotics: The semantic vector space of Magritte's artworks". Semiotica. 2019 (230): 19–69. doi:10.1515/sem-2018-0120. ISSN 0037-1998.
  4. Shackell, C. (26 July 2019). "Finite semiotics: Cognitive sets, semiotic vectors, and semiosic oscillation". Semiotica. 2019 (229): 211–235. doi:10.1515/sem-2017-0127.

Further reading
  • Andersen, P.B. (1991). A Theory of Computer Semiotics, Cambridge University Press.
  • de Souza, C.S., The Semiotic Engineering of Human-Computer Interaction, MIT Press, Cambridge, MA, 2005.
  • Tanaka-Ishii, K. (2010), "Semiotics of Programming", Cambridge University Press.
  • Hugo, J. (2005), "The Semiotics of Control Room Situation Awareness", Fourth International Cyberspace Conference on Ergonomics, Virtual Conference, 15 Sep – 15 Oct 2005. Eprint
  • Gudwin, R.; Queiroz J. (eds) - Semiotics and Intelligent Systems Development - Idea Group Publishing, Hershey PA, USA (2006), ISBN 1-59904-063-8 (hardcover), 1-59904-064-6 (softcover), 1-59904-065-4 (e-book), 352 ps. Link to publisher
  • Gudwin, R.; Queiroz, J. - Towards an Introduction to Computational Semiotics - Proceedings of the 2005 IEEE International Conference on Integration of Knowledge Intensive Multi-Agent Systems - KIMAS'05, 18–21 April 2005, Waltham, MA, USA, pp. 393–398.IEEExplore
  • Mili, A., Desharnais, J., Mili, F., with Frappier, M., Computer Program Construction, Oxford University Press, New York, NY, 1994. — Introduction to Tarskian relation theory and its applications within the relational programming paradigm.
  • Rieger, Burghard B.: Computing Granular Word Meanings. A fuzzy linguistic approach to Computational Semiotics, in: Wang, Paul P. (ed.): Computing with Words. [Wiley Series on Intelligent Systems 3], New York (John Wiley & Sons) 2001, pp. 147–208.
  • Rieger, Burghard B.: Computing Fuzzy Semantic Granules from Natural Language Texts. A computational semiotics approach to understanding word meanings, in: Hamza, M.H. (ed.): Artificial Intelligence and Soft Computing, Proceedings of the IASTED International Conference, Anaheim/ Calgary/ Zürich (IASTED/ Acta Press) 1999, pp. 475–479.
  • Rieger, Burghard B.: A Systems Theoretical View on Computational Semiotics. Modeling text understanding as meaning constitution by SCIPS, in: Proceedings of the Joint IEEE Conference on the Science and Technology of Intelligent Systems (ISIC/CIRA/ISAS-98), Piscataway, NJ (IEEE/Omnipress) 1998, pp. 840–845. IEEExplore
  • Shackell, C. (2019). "Computational opposition analysis using word embeddings: A method for strategising resonant informal argument". Argument & Computation. doi:10.3233/AAC-190467.
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