In order to grasp complex wholes (see Complexity thinking in TS), like the solar system, scientists formulate simplified idealizations or models for them. Scientific models represent such complex wholes to different degrees, but they will only work if (we believe that) there is some correspondence with their counterparts in the world. Such correspondence need not be based on physical or structural resemblance. Scientists may strip away everything they do not deem essential for their interests, or even introduce deliberate distortions they can control and correct later on. Models only need to fit empirical data.

References

Adams, Frederick, and Kenneth Aizawa

2007 The Bounds of Cognition. Oxford: Blackwell.

Arumí Ribas, Marta, and Mireia Vargas-Urpi

2017 “Strategies in Public Service Interpreting.” Interpreting 19 (1): 118–141.

Chen, Sijia

2017 “Note-taking in Consecutive Interpreting: New data from pen recording.” Translation & Interpreting 9 (1): 4–23.

Clark, Andy

2008 Supersizing the Mind: Embodiment, action, and cognitive extension. Oxford: Oxford University Press.

Clancey, William J.

1997 Situated Cognition: On human knowledge and computer representations. Cambridge: Cambridge University Press.

Damásio, António

[1994] 2005 Descartes’ Error: Emotion, reason, and the human brain. Revised edition. New York: Penguin.

Gibson, James J.

1979 The Ecological Approach to Visual Perception. Boston: Houghton Mifflin.

Hutchins, Edwin

1994 Cognition in the Wild. Cambridge, MA: MIT Press.

Hutto, Daniel H., and Erik Myin

2017 Evolving Enactivism. Basic minds meet content. Cambridge, MA: MIT Press.

Jeannerod, Marc

2006 Motor Cognition. What actions tell the self. Oxford: Oxford University Press.

Jiménez Crespo, Miguel Ángel

2017 Crowdsourcing and Online Collaborative Translations: Expanding the limits of Translation Studies. Amsterdam: John Benjamins.

Ketola, Anne

2016 “Towards a multimodally oriented theory of translation: A cognitive framework for the translation of illustrated technical texts.” Translation Studies 9 (1): 67–81.

Korpal, Paweł, and Aleksandra Jasielska

2019 “Investigating interpreters’ empathy: Are emotions in simultaneous interpreting contagious?” Target 31 (1): 2–24.

Lakoff, George, and Mark Johnson

1999 Philosophy in the Flesh. New York: Basic Books.

Muñoz Martín, Ricardo

2010 “On Paradigms and Cognitive Translatology”. In Translation and Cognition, ed. by Gregory M. Shreve and Erik Angelone, 169–187. Amsterdam: John Benjamins.

Noë, Alva

2004 Action in Perception. Cambridge, MA: MIT Press.

Nurminen, Mari

2020 “Raw machine translation use by patent professionals. A case of distributed cognition.” Translation, Cognition & Behavior 3 (1): 100–121.

O'Hagan, Minako, and Marian Flanagan

2018 “Gamer emotions in laughter: Towards affect-oriented game localisation.” Translation, Cognition & Behavior 1 (2): 299–318.

Port, Robert F., and Timothy Van Gelder

1995 Mind as Motion. Explorations in the dynamics of cognition. Cambridge, MA: MIT Press.

Further essential reading

Ehrensberger-Dow, Maureen

2019 “Ergonomics and the translation process.” Slovo.ru: Baltic accent 10 (1): 37–51.

Halverson, Sandra L.

2018 “Metalinguistic Knowledge/Awareness/Ability in Cognitive Translation Studies: Some questions.” Hermes 57: 11–28.

O’Brien, Sharon

2012 “Translation as Human–Computer Interaction.” Translation Spaces 1 (1): 101–122.

Risku, Hanna, and Regina Rogl

2020 “Translation and Situated, Embodied, Distributed, Embedded and Extended Cognition.” In Routledge Handbook on Translation and Cognition, ed. by Arnt Lykke Jakobsen & Fabio Alves, 478–499. London: Routledge.

Shreve, Gregory M.

2020 “Translation as a Complex Adaptive System. A framework for theory building in cognitive translatology”. In Routledge Handbook on Translation and Cognition. ed. by Arnt Lykke Jakobsen & Fabio Alves, 69–87. London: Routledge.