Intertext

The references listed below should not be viewed as a comprehensive bibliography as such, even if such a bibliography were possible (given the cross-disciplinary charting that is required). To borrow Roland Barthes’ use of the term ‘intertext’, the following ‘is nothing more than a list of the texts whose reading, in various ways, has punctuated the preparation of this [research]’.

For convenience, the materials have been divided into the following sections (where overlap is significant items can appear under more than one category:
> Artificial Intelligence, Information Theory, Cybernetics | > Lévi-Strauss | > Structuralism, Linguistics, Semiotics | > Models, Generators, Techniques | > Psychoanalytic. NB. Items marked with an asterisk were set for the Reading Group.

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Artificial Intelligence, Information Theory, Cybernetics _^[TOP]

Andreas Beinsteiner (2020) ‘Conviviality, the Internet, and AI. Ivan Illich, Bernard Stiegler, and the Question Concerning Information-technological Self-limitation’, Open Cultural Studies, No. 1, pp.131-142. 

Nick Bostrom (2014) Superintelligence: Paths, Dangers, Strategies. Oxford University Press.

Ellen Broad (2018) Made by Humans: The AI Condition. Melbourne University Press.

Christophe Bruchansky (2019) ‘Machine Learning: A Structuralist Discipline?‘, AI & Society, Vol. 34, pp.931-938.

M. Burgin (2008) ‘Foundations of Information Theory‘, arXiv, August 2008.

Italo Calvino (1986) ‘Cybernetics and Ghosts’, in The Uses of Literature. Harcourt Brace & Company, pp. 3-27.

Peter Chonka, Stephanie Diepeveen, Yidnekachew Haile (2022) ‘Algorithmic power and African indigenous languages: search engine autocomplete and the global multilingual Internet‘, Media Culture & Society (Online First).

Kate Crawford (2021) Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press.

Nachum Dershowitz and Ephraim Nissan (eds.) (2014) Language, Culture, Computation, Vols. 1-3. London: Springer.

Stefanos Geroulanos and Leif Weatherby (2020) ‘Cybernetics and the human sciences‘, History of the Human Sciences, Vol. 33, No. 1, pp.3-11. [NB. Introduction of special issue, ‘Cybernetics and the Human Sciences‘]

Tula Giannini and Jonathan Peter Bowen (2017) ‘Life in Code and Digits: When Shannon Met Turing‘, Proceedings of EVA London 2017: Electronic Visualisation and the Arts, London, UK.

Geoghegan, B. D. (2011) ‘From Information Theory to French Theory: Jakobson, Le ́vi-Strauss, and the Cybernetic Apparatus’, Critical Inquiry, Vol. 38, No. 1, pp. 96–126.

Bernard Dionysius Geoghegan (2020) ‘Textocracy, or, the cybernetic logic of French theory‘, History of the Human Sciences, Vol. 33, No. 1, pp.52-79.

James Gleick (2012) The Information: A History, a Theory, a Flood. Vintage.

Christopher Johnson (2015) ‘“French” Cybernetics‘, French Studies, Volume 69, Issue 1, pp.60–78.

Steven Johnson (2022) ‘A.I. Is Mastering Language. Should We Trust What It Says?‘, The New York Times Magazine, April 15 2022.

Anders Kristian Munk, Asger Gehrt Olesen, Mathieu Jacomy (2022) ‘The Thick Machine: Anthropological AI between explanation and explication‘, Big Data & Society [online first].

Melanie Mitchell (2019) Artificial Intelligence: A Guide for Thinking Humans. Farrar, Straus and Giroux.

Ephraim Nissan (1991) ‘Artificial Intelligence as a Dialectic of Science and Technology, in M. Negrotti (ed.) Understanding the Artificial: On the Future Shape of Artificial Intelligence. London: Springer, pp. 77-90.

Cathy O’Neil (2016) Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Books.

Caroline Criado Perez (2020) Invisible Women: Exposing the Gender Bias Women Face Every Day. Vintage.

Ted Stiphas (2015) ‘Algorithmic Culture‘, European Journal of Cultural Studies, Vol. 18, No. 4-5, pp.395-412.

Rich Sutton (2019) ‘The Bitter Lesson‘ [on scale in machine learning], Richard S. Sutton website: http://incompleteideas.net

Wooldridge, Michael (2020) The Road to Conscious Machines: The Story of AI. London: Penguin Books. 

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Lévi-Strauss _^[TOP]

Philippe Descola (2009) ‘The two natures of Lévi-Strauss’, in The Cambridge Companion to Lévi-Strauss, edited by Boris Wiseman. Cambridge University Press, pp. 103-117.

Albert Doja (2008) ’Claude Lévi-Strauss at his Centennial: toward a future anthropology’, Theory, Culture and Society, Vol. 25, 7-8), pp.321-340.

Albert Doja, Laurent Capocchi, Jean-François Santucci (2021) ‘Computational challenges to test and revitalize Claude Lévi-Strauss transformational methodology‘, Big Data & Society [online first].

Claude Lévi-Strauss (1977) Myth and Meaning (Massey Lectures).
→ Listen to recordings

* Claude Lévi Strauss (1963) ‘The Structural Study of Myth’, in Structural Anthropology, trans. by Claire Jacobson and Brooke Grundfest Schoepf. New York: Basic Books, pp. 206-231.

* Claude Lévi Strauss (2001 [1978]) Myth and Meaning. London: Routledge.

Claude Lévi-Strauss (1993 [1966]) Look, Listen, Read, trans. by Brian C. J. Singer. Basic Books.

Jean-François Santucci, Albert Doja and Laurent Capocchi (2020) ‘A Discrete-Event Simulation of Claude Lévi-Strauss’ Structural Analysis of Myths Based on Symmetry and Double Twist Transformations‘, Symmetry, Vol. 12 (10), 1706.

Lucien Scubla (2011) ‘Lévi-Strauss, Lacan, and the Symbolic Order’, Revue du MAUSS, Vol. 37, Issue 1, pp. 253-269.

Lucien Scubla (2016) Giving Life, Giving Death: Psychoanalysis, Anthropology, Philosophy. Michigan State University Press

Boris Wiseman (ed.) (2009) The Cambridge Companion to Lévi-Strauss. Cambridge University Press.

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Structuralism, Linguistics, Semiotics _^[TOP]

* Roland Barthes (1975) ‘Introduction to the Structural Analysis of Narratives’, trans. by Lionel Duisit, in New Literary History, Vol. 6, No. 2, ‘On Narrative and Narratives’, pp. 237-272. (Originally published in the French as ‘Introduction a 1’analyse structurale des recits’, Communications 8, 1966).

* Roland Barthes (1972) ‘Myth Today’ in Mythologies, trans. by Annette Lavers. Mythologies. London, Paladin (Originally published in French, Editions du Seuil, 1957).

* Roland Barthes (2000) ‘Inaugural Lecture, Collège de France’ [1977], in A Barthes Reader, ed. by Susan Sontag. Vintage. pp.457-478.

François Dosse (1997) History of Structuralism: Volume 1 – The Rising Sign, 1945-1966, trans. by Deborah Glassman. University of Minnesota Press.

François Dosse (1997) History of Structuralism: Volume 2 – The Sign Sets, 1967-present, trans. by Deborah Glassman. University of Minnesota Press.

Bernard Dionysius Geoghegan (2021) ‘Nine Pails of Ashes: Social Networks, Genocide, and the Structuralists’ Database of Language,’ History of Anthropology Review, No. 45.

* Roman Jakobson and Morris Halle (1956) Fundamentals of Language, Part II, ‘Two Aspects of Language and Two Types of Aphasic Disturbance’, The Hague/Paris: Mouton, pp. 55-82.

* Roman Jakobson (1966 [1960]) ‘Closing Statement: Linguistics and Poetics’, in Thomas Sebook (ed.) Style in Language (Proceedings of the Conference on Style, held at Indiana University, 1958). Cambridge, Mass.: MIT Press, pp. 350-377.

Timothy Lenoir (1994) ‘Was That Last Turn A Right Turn?
The Semiotic Turn and A.J. Greimas’, Configurations, Vol.2, 119-136.

Jean Petitot (2009) ‘Morphology and structural aesthetics: from Goethe to Lévi-Strauss’, in in The Cambridge Companion to Lévi-Strauss, edited by Boris Wiseman. Cambridge University Press, pp. 275-295.

Steven Pinker (1999) Words and Rules: The Ingredients of Language. New York: Basic Books. (see also: ‘Words and Rules‘)

Heinz-Juergen Schmidt (2019) ‘Structuralism in Physics’ [First published Sun Nov 24, 2002; substantive revision Fri Oct 4, 2019], Stanford Encyclopedia of Philosophy.

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Models, Generators, Techniques _^[TOP]

Emily M. Bender et al. (2021) ‘On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜’, FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, pp.610–623.
→ Listen to Alan Turing Institute Presentation | View Slides.

Anette Hagen and Kathy A. Mills (2022) ‘Rhythm in Literary Apps‘, Visual Communication [online first], pp.1-21.

Minh Hua and Rita Raley (2020) ‘Playing with Unicorns: AI Dungeon and Citizen NLP‘, Digital Humanities Quarterly, Vol. 14, No.4.

Harsh Jhamtani, et al. (2021) ‘Investigating Robustness of Dialog Models to Popular Figurative Language Constructs’, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 7476–7485, November 7–11, 2021. Association for Computational Linguistics.

Kyle Mahowald and Anna A. Ivanova (2020) ‘Google’s powerful AI spotlights a human cognitive glitch: Mistaking fluent speech for fluent thought’, The Conversation, June 24, 2022.

Steven Johnson (2022) ‘A.I. Is Mastering Language. Should We Trust What It Says?‘, The New York Times Magazine, April 15 2022.

Alex Krizhevsky Ilya Sutskever Geoffrey E. Hinton (DATE) ‘ImageNet Classification with Deep Convolutional Neural Networks‘, NIPS Proceedings, Advances in Neural Information Processing Systems 25 (NIPS 2012).

Daniel D. Lee & H. Sebastian Seung (1999) ‘Learning the parts of objects by non-negative matrix factorization‘, Nature, Vol. 401, 21 October, pp. 788-791.

Daniel D. Lee & H. Sebastian Seung (2001). Algorithms for Non-negative Matrix Factorization. Advances in Neural Information Processing Systems 13: Proceedings of the 2000 Conference. MIT Press. pp. 556–562.

Xiaochang Li (2017) Divination Engines: A Media History of Text Prediction [Doctoral Thesis]. Steinhardt School of Culture, Education and Human Development, New York University.

Sunil Manghani (2017) ‘The Art of Paolo Cirio: Exposing New Myths of Big Data Structures’, Theory, Culture & Society, Vol. 34, No. 7-8, pp.197-214.

Pierre Maranda (ed.) (2001) The Double Twist: From Ethnography to Morphodynamics. University of Toronto Press.

Michel, J. – B., Shen, Y. K., Aiden, A. P., Veres, A., Gray, M. K., Team, T. G. B., Pickett, J. P., et al. (2011). Quantitative analysis of culture using millions of digitized books. Science, 331, 176-182.

Pentti Paatero and Unto Tapper (1994) ‘Positive Matrix Factorization: A Non-Negative Factor Model with Optimal Utilization of Error Estimates of Data Values‘, Environmetrics, Vol. 5, pp.111-126.

Sven Bambach, David J. Crandall, Linda B. Smith, Chen Yu (2018) ‘Toddler-Inspired Visual Object Learning‘, Proceedings, 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada.