計算符號學

計算符號學（computational semiotics）是一個跨學科領域，其研究、應用和借鑑領域涵蓋了邏輯、數學、計算理論和實踐、形式和自然語言研究、一般認知科學，以及符號學本身。該術語既涵蓋了符號學在計算機硬件和軟件設計中的應用，也包括使用計算來執行符號學分析。前者側重於符號學可以為計算帶來什麼；後者與計算能給符號學帶來什麼有關。

**計算符號學**
該領域的一個共同主題是以符號理論視角看待人工智能和知識表示的問題。其許多應用場景是人機交互和基本識別裝置。
代數符號學是該領域的一部分，它結合了代數規範和社會符號學的各個方面，已應用於用戶界面設計和數學證明的呈現。

**符號學的計算方法**
欲進行符號學的計算，需要將符號學分析方法形式化，並以計算機算法來實現，以之來處理大型數據集。這些數據集通常是文本，但符號學也為分析其他類型的數據開闢了道路。現有研究已提供自動化的對立分析和語義方陣生成、隱喻識別和圖像分析的方法。 Shackell提議，應該開闢自然符號處理的一個新領域，將自然語言處理擴展到具有重要的文化意義的或語言學之外的領域，例如應用於說服技術、營銷和品牌分析等。另一方面，Meunier認為符號學和計算是兼容的，二者結合可以在理解意義的形式上提供更好的邏輯一致性。

**參見**
 人工智能- 計算語言學- 人機交互- 形式語言- 信息論- 知識表示- 計算語義學- 信息邏輯- 語意- 自然語言- 關係數據庫- 符號工程學- 用戶界面

**參考文獻**

**延伸閱讀**
 Meunier, J.G. (2021). Computational Semiotics, Bloomsburry Academic.- Andersen, P.B. (1991). A Theory of Computer Semiotics,  Cambridge University Press date=20230530071920 .- 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 date=20230530071918 .- Hugo, J. (2005), "The Semiotics of Control Room Situation Awareness", Fourth International Cyberspace Conference on Ergonomics, Virtual Conference, 15 Sep – 15 Oct 2005.   Eprint date=20051128053632 - Gudwin, R.; Queiroz J. (eds) - Semiotics and Intelligent Systems Development - Idea Group Publishing, Hershey PA, USA (2006), 1-59904-063-8 (hardcover), 1-59904-064-6 (softcover), 1-59904-065-4 (e-book), 352 ps.  Link to publisher date=20090714095554 - 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 date=20131203051824 - doi-access=free 

**外部鏈接**
 Goguen, J.,  Algebraic Semiotics date=20090609112451 - Gudwin, R.R.,  Computational Semiotics date=20230530071936 - Gudwin, R.R.,  List of Publications in Computational Semiotics and other fields date=20221129075048 -  International Computational Semiotics Group-  UNICAMP Computational Semiotics Group date=20230530133647