
Philosophy of Language
Code: 100313Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Philosophy | OB | 3 |
Contact lecturer
- Name :
- Jordi Vallverdu Segura
- Email :
- jordi.vallverdu@uab.cat
Group languages
You can consult this information at the end of the document.
Prerequisites
None. The course has no prerequisites.
Objectives
Philosophy of Language is a course that approaches language not as a single object, but as a phenomenon that is simultaneously semiotic, biological, social, technical and metaphysical. Rather than starting from the classical question "what have analytic philosophers said about meaning?", the course is structured around a broader and more operational question: when, how and why does a system produce, interpret, stabilise, transform or impose meaning?
This framework allows the course to address, within a single conceptual architecture, human language, animal communication, biosemiotics, formal and scientific languages, computational code and multi-agent artificial intelligence systems, without reducing human language to pure syntax or naively anthropomorphising bacteria or language models. The methodological hallmark is doing philosophy with data: every major claim is tested, wherever possible, against empirical evidence, corpora, models and reproducible experiments. The analytic tradition (Frege, Russell, Wittgenstein, Austin, Grice) is fully present, but as one region of a much larger continent.
Learning objectives:
- To provide students with a scalar ontology of the sign that distinguishes signal, sign, code, symbol, language, discourse, formal language and artificial protocol.
- To develop the capacity to analyse human and non-human systems of signification using philosophical and empirical criteria.
- To compare natural, scientific, logical and computational language, and to critically assess their claims to meaning and reference.
- To understand the production of meaning as a biological, cultural, material, social and technical phenomenon, and to situate within it the major contemporary debates on AI and language.
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Learning outcomes
- CM20 (Compare different paradigms of knowledge, recognising the complexity and plurality of contemporary philosophical thought in its relationship with science and technology.) Compare different paradigms of knowledge, recognising the complexity and plurality of contemporary philosophical thought in its relationship with science and technology.
- CM21 (Value the uses of knowledge, questioning its forms of legitimation, exclusion or manipulation today.) Value the uses of knowledge, questioning its forms of legitimation, exclusion or manipulation today.
- CM22 (Develop a critical, articulated and reflective vision of knowledge in its multiple dimensions: epistemic, linguistic, scientific and technological and evaluate the challenges that these imply.) Develop a critical, articulated and reflective vision of knowledge in its multiple dimensions: epistemic, linguistic, scientific and technological and evaluate the challenges that these imply.
- KM23 (Cite the philosophical foundations of knowledge, as well as the historical, linguistic, scientific and technological conditions that shape it, identifying the relations and power structures that result in epistemological biases. .) Cite the philosophical foundations of knowledge, as well as the historical, linguistic, scientific and technological conditions that shape it, identifying the relations and power structures that result in epistemological biases. .
- KM24 (Identify the role of language and technology in the production, circulation and legitimisation of knowledge.) Identify the role of language and technology in the production, circulation and legitimisation of knowledge.
- KM25 (Explain the main contemporary theories and debates about truth, justification, rationality, meaning, objectivity and progress.) Explain the main contemporary theories and debates about truth, justification, rationality, meaning, objectivity and progress.
- SM24 (Evaluate scientific and technical discourses from a philosophical perspective, detecting assumptions, tensions and social effects in human and post-human viewpoints.) Evaluate scientific and technical discourses from a philosophical perspective, detecting assumptions, tensions and social effects in human and post-human viewpoints.
- SM25 (Analyse philosophical texts and arguments on knowledge, science, language and technology and the social impact of their development with conceptual rigour.) Analyse philosophical texts and arguments on knowledge, science, language and technology and the social impact of their development with conceptual rigour.
- SM26 (Use diverse philosophical approaches in the interpretation of current problems related to truth, communication, epistemic authority and technological innovation.) Use diverse philosophical approaches in the interpretation of current problems related to truth, communication, epistemic authority and technological innovation.
Contents
The syllabus is organised into an introductory block and three main blocks (Nature, Culture and Artefact), conceived as thematic units. Five transversal dimensions run through all blocks: (i) semiotics and information; (ii) body, gesture and multimodality; (iii) sociality, cooperation and conflict; (iv) power, normativity and institution; and (v) the failure and excess of language (silence, noise, gibberish, ambiguity, metaphor, hallucination).
Block 0. What counts as language?
Construction of a scalar ontology of signification: the difference between reaction, signal, sign, code, symbol, language, discourse, protocol and metalanguage. Can there be meaning without intention? Language without a subject? The distinction between causal information and meaningful information is established here as an anti-anthropomorphic tool for the entire course. Key references: Peirce (icon, index, symbol), Saussure, Jakobson, Eco, Shannon's information theory, Millikan's naturalist theories of meaning and Deacon's symbolic species hypothesis.
Block I. Nature: languages before (and beyond) the human
Biosemiotics and Umwelt (Uexküll, Hoffmeyer): cells and organisms as interpreters of signals. Communication without mind: bacterial quorum sensing, microbial consortia and gene regulatory networks, and fungal and plant communication —mycelia and mycorrhizal networks connecting trees, the "Wood Wide Web"—, treated as a case study in philosophy with data, contrasting the popular narrative (Simard) with empirical criticism of citation bias and overinterpretation (Karst et al.). Animal communication: reference, intentionality, compositionality and combinatorial syntax in primates, birds, cetaceans and elephants (individual vocal labels in marmosets, signature whistles in dolphins), with a counterpoint without a vocal channel —ants, pheromones, stigmergy and swarm intelligence. The evolution of language: continuity or ontological leap? Gesture and multimodality (Goldin-Meadow), cooperation (Tomasello), evolution (Fitch, Deacon), embodied thought before words (Tversky) and the recent debate on communicating with non-human systems (Levin).
Block II. Culture: languages, worlds and forms of life
Language, world and categories: linguistic relativity tested with data (Sapir–Whorf, Berlin & Kay, World Color Survey, Boroditsky) and prototype categorisation (Rosch), with Everett's Pirahã case in dialogue with the rebuttal by Nevins, Pesetsky and Rodrigues —presented as a debate, not a dogma. How meaning is generated: the turn from the first to the second Wittgenstein (from the Tractatus to the Investigations, language games and forms of life), Austin, Grice and Searle, with the weight of context taken to its extreme by the playful case of "Smurfing"; the canonical analytic core (Frege and Russell). Non-analytic and non-European traditions: India (Bhartṛhari and sphoṭa, Nyāya, Buddhist apoha, Mīmāṃsā), China (rectification of names, Daoist limits of saying), Islamic kalām, orality and ritual speech in African and Amerindian traditions, and the European line (Plato, Humboldt, Herder, Cassirer, Benjamin). Language, power and symbolic violence: standard language, linguistic colonialism, minoritised languages, accent, class, gender, silencing, hate speech and propaganda (Bourdieu, Foucault, Butler, Fanon, Spivak, Ngũgĩ wa Thiong'o).
Block III. Artefact: constructed, formal and machinic languages
Formal languages (logic and mathematics): formal syntax and semantics, calculus, proof, computability and metalanguage (Tarski, Gödel, Church, Turing, Montague), with the question of whether a formal language eliminates ambiguity or merely displaces it. Code and operational ontology: programming languages do not merely represent —they make things happen; performative, executable and infrastructural languages— compared with code, law, liturgy and formula. LLMs and meaning: language as distributional statistics, the debate on form and meaning (stochastic parrot; Bender and Koller's "octopus" argument) and the claim that language does not directly describe reality, in contrast with universal grammar and the critique of the "false promise" of models (Chomsky et al.); gibberish as a frontier (the "hidden vocabulary" of DALL·E-2, Daras and Dimakis). Emergent language and multi-agent systems: conventions and collective biases in model populations (Ashery, Aiello and Baronchelli), language as a "cognitive tool" in autotelic agents (Colas et al.) versus the world-models thesis. Final synthesis: language as human property, cultural technology, biological function, formal structure, social practice or ecology of signs —all of these at once, but in different degrees, scales and regimes.
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Exposition of concepts and theories. | 30 | 1.2 | |
| Autonomous study of the concepts and theories introduced in class. | 50 | 2 | |
| Readings of selected texts and writing of the research paper | 25 | 1 | |
| Clarification of doubts. | 23 | 0.92 | |
| Prompting and academic writing workshops | 19 | 0.76 |
The course is organised around two elements that alternate throughout the semester:
- Lectures. The instructor presents the content of the thematic blocks in class. No notes, summaries or support materials prepared by the instructor will be distributed: this is a deliberate decision and forms part of the pedagogical design of the course. Research in the cognitive science of learning consistently shows that the active process of listening, selecting, reformulating and completing information through independent study produces deeper conceptual understanding than the passive reception of ready-made materials. Students are expected to keep their own class notes, supplemented by independent reading of the compulsory texts.
- Reading seminars and critical prompting workshop. Collective commentary in class on the texts from the compulsory reading list, distributed in advance on the Virtual Campus. The critical prompting and academic writing workshop, held in a dedicated session, provides technical and methodological support for the research article: article structure and templates, citation systems, argument construction and journal selection criteria.
The compulsory reading list is the only material distributed by the instructor. All other documentation and research work is the student's responsibility.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Synthesis exam. | 40% | 1 | 0.04 | CM20, CM22, KM23 |
| Compulsory readings test | 30% | 1 | 0.04 | KM24, SM24, SM25, SM26 |
| Research Paper | 30% | 1 | 0.04 | CM21, KM25, SM26 |
Continuous assessment consists of three activities of different types; none exceeds 50% of the final grade, in accordance with Faculty regulations. The rules below are strictly applied and admit no exceptions beyond those provided for in the regulations.
Activity / Type / Weight
Synthesis test / Written test / 40%
Research article / Research work + oral defence / 30%
Readings test / Written test / 30%
Requirements to pass: a final grade of 5.0 or above is required. A minimum of 3.5 must be obtained in each of the three activities in order to calculate the average. If any activity falls below 3.5, the final grade will be capped at 4.5 (fail) until the activity is retaken.
- Synthesis test (40%). In-person written test at mid-semester covering the content of Blocks 0, I and II. Maximum duration: 1 hour 30 minutes.
- Research article (30%) Individual writing of a fully academic article on a topic from the course, following the structure of a journal article (abstract, literature review, argumentation, discussion and references). The topic and approach must be agreed in writing with the instructor within the deadlines provided in class; the exact submission processes and formats established must be followed. Prepared with the support of the critical prompting and academic writing workshop (templates, citations, argumentation and journal selection). Mandatory conditions: (i) the complete set of AI threads used must be attached as an annex, with the transparency declaration —without this annex, the article receives a grade of 0; (ii) the article includes a brief individual oral defence. If the student is unable to justify the authorship, sources and decisions in the text, the activity is treated as an irregularity, graded 0 and is not retakeable.
- Readings test (30%) Written test on the compulsory reading list, which will be published on the Virtual Campus at the start of the course. Assessment criteria: comprehension of the texts, conceptual analysis and ability to draw connections between them. Maximum duration: 1 hour 30 minutes.
Submissions, deadlines and authorship: deadlines published on the Virtual Campus are fixed. A late submission without documentary justification receives a grade of 0. A change of date is only possible for a serious accredited cause, requested at least 7 days in advance (or within 3 working days if the cause is unforeseen). Any irregularity results in a 0 for that assessment activity, which is not retakeable; multiple irregularities result in a final grade of 0 for the course.
Non-assessable: a student will receive a "Non-assessable" grade if they have submitted evidence worth 30% or less of the total. A student who has only submitted the research article (30%) or sat the readings test (30%) will be recorded as Non-assessable; a student who has sat the synthesis test (40%) already exceeds the threshold and will receive a numerical grade.
Resit: two conditions must be met simultaneously: having been assessed on activities worth at least 2/3 of the total grade, and having an average of 3.5 or above. All three activities are retakeable: the synthesis test and the readings test through a single global synthesis exam (maximum duration 2 hours) and the article through resubmission of a revised version with a new oral defence. The resit only allows students to pass failed activities, not to improve already passing grades; the same minimum grades apply.
Single assessment: this course offers the single assessment option. Requesting it constitutes a definitive waiver of continuous assessment and must be submitted within the official deadline. The research article must be submitted in advance within the established deadline; the global exam takes place on a single date, with a maximum total duration of 4 hours.
Evidence / Type / Weight
Global exam (syllabus + readings) / Written exam / 70%
Research article, submitted in advance and defended on the day of the exam / Research work + defence / 30%
Minimum grades, resit, non-assessable and grade review: the same criteria as for continuous assessment apply.
- Publication of results and grade review: results will be published within a maximum of three weeks. The average grade for retakeable activities will be published at least 72 hours before the resit. Scale 0–10 with one decimal place. Grade review will be personal and individual, and will begin at least 24 hours after publication of results.
Bibliography
The bibliography is organized by thematic blocks. References may be in languages other than the language of instruction.
Block 0 — Sign, semiotics and information
Deacon, T. W. (1997). The Symbolic Species: The Co-evolution of Language and the Brain. Norton.
Eco, U. (1976). A Theory of Semiotics. Indiana University Press.
Jakobson, R. (1960). «Linguistics and Poetics». A T. Sebeok (ed.), Style in Language. MIT Press.
Peirce, C. S. (1931–1958). Collected Papers. Harvard University Press.
Saussure, F. de (1916). Cours de linguistique générale. Payot.
Shannon, C. E. (1948). «A Mathematical Theory of Communication». Bell System Technical Journal, 27, 379–423.
Block I — Nature: biosemiotics, animal communication and evolution
Bonabeau, E., Dorigo, M. & Theraulaz, G. (1999). Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press.
Fitch, W. T. (2010). The Evolution of Language. Cambridge University Press.
Goldin-Meadow, S. (2003). Hearing Gesture: How Our Hands Help Us Think. Harvard University Press.
Grassé, P.-P. (1959). «La reconstruction du nid et les coordinations interindividuelles chez Bellicositermes natalensis et Cubitermes sp.». Insectes Sociaux, 6, 41–80.
Hoffmeyer, J. (2008). Biosemiotics: An Examination into the Signs of Life and the Life of Signs. University of Scranton Press.
Karst, J., Jones, M. D. & Hoeksema, J. D. (2023). «Positive citation bias and overinterpreted results lead to misinformation on common mycorrhizal networks in forests». Nature Ecology & Evolution, 7, 501–511.
Millikan, R. G. (1984). Language, Thought, and Other Biological Categories. MIT Press.
Simard, S. W. et al. (1997). «Net transfer of carbon between ectomycorrhizal tree species in the field». Nature, 388, 579–582.
Tomasello, M. (2008). Origins of Human Communication. MIT Press.
Tversky, B. (2019). Mind in Motion: How Action Shapes Thought. Basic Books.
Uexküll, J. von (1934/2010). A Foray into the Worlds of Animals and Humans. University of Minnesota Press.
Zhang, Y. & Levin, M. (2026). «Language Game: Talking to Non-Human Systems». arXiv:2605.16321.
Stanford Encyclopedia of Philosophy. «Animal Communication».
Block II — Culture: categories, relativity, use and power
Austin, J. L. (1962). How to Do Things with Words. Oxford University Press.
Berlin, B. & Kay, P. (1969). Basic Color Terms: Their Universality and Evolution. University of California Press.
Boroditsky, L. (2001). «Does Language Shape Thought? Mandarin and English Speakers' Conceptions of Time». Cognitive Psychology, 43(1), 1–22.
Bourdieu, P. (1982). Ce que parler veut dire: l'économie des échanges linguistiques. Fayard.
Everett, D. L. (2005). «Cultural Constraints on Grammar and Cognition in Pirahã». Current Anthropology, 46(4), 621–646.
Frege, G. (1892). «Über Sinn und Bedeutung». Zeitschrift für Philosophie und philosophische Kritik, 100, 25–50.
Grice, H. P. (1989). Studies in the Way of Words. Harvard University Press.
Matilal, B. K. (1990). The Word and the World: India's Contribution to the Study of Language. Oxford University Press.
Nevins, A., Pesetsky, D. & Rodrigues, C. (2009). «Pirahã Exceptionality: A Reassessment». Language, 85(2), 355–404.
Ngũgĩ wa Thiong'o (1986). Decolonising the Mind. James Currey.
Rosch, E. (1978). «Principles of Categorization». A E. Rosch & B. B. Lloyd (eds.), Cognition and Categorization. Lawrence Erlbaum.
Russell, B. (1905). «On Denoting». Mind, 14(56), 479–493.
Searle, J. R. (1969). Speech Acts. Cambridge University Press.
Wittgenstein, L. (1921). Tractatus Logico-Philosophicus. Routledge & Kegan Paul.
Wittgenstein, L. (1953). Philosophische Untersuchungen. Blackwell.
Block III — Artefact: formal languages, code and AI
Ashery, A. F., Aiello, L. M. & Baronchelli, A. (2025). «Emergent social conventions and collective bias in LLM populations». Science Advances, 11(20), eadu9368.
Bender, E. M. & Koller, A. (2020). «Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data». Proceedings of ACL 2020, 5185–5198.
Bender, E. M., Gebru, T., McMillan-Major, A. & Shmitchell, S. (2021). «On the Dangers of Stochastic Parrots». FAccT '21, 610–623.
Chomsky, N., Roberts, I. & Watumull, J. (2023). «The False Promise of ChatGPT». The New York Times, 8 de març.
Colas, C., Karch, T., Moulin-Frier, C. & Oudeyer, P.-Y. (2022). «Language and culture internalization for human-like autotelic AI». Nature Machine Intelligence, 4(12), 1068–1076.
Daras, G. & Dimakis, A. G. (2022). «Discovering the Hidden Vocabulary of DALLE-2». arXiv:2206.00169.
Lazaridou, A. & Baroni, M. (2020). «Emergent Multi-Agent Communication in the Deep Learning Era». arXiv:2006.02419.
LeCun, Y. (2022). «A Path Towards Autonomous Machine Intelligence». OpenReview (versió 0.9.2).
Montague, R. (1974). Formal Philosophy: Selected Papers. Yale University Press.
Steels, L. (2015). The Talking Heads Experiment: Origins of Words and Meanings. Language Science Press.
Tarski, A. (1944). «The Semantic Conception of Truth». Philosophy and Phenomenological Research, 4(3), 341–376.
Turing, A. M. (1950). «Computing Machinery and Intelligence». Mind, 59(236), 433–460.
Instructor's resources (computational philosophy)
Vallverdú, J. (2024). Causality for Artificial Intelligence: From a Philosophical Perspective. Springer.
Vallverdú, J. (2025). Prompting Causal Events. Springer.
Software
Standard text editors and large language model (LLM) tools of the student's choice. No specific software or prior computing knowledge is required.
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 1 | Catalan | first semester | morning-mixed |
| (PAUL) Classroom practices | 1 | Catalan | first semester | morning-mixed |