Tom Kouwenhoven
PhD candidate
- Name
- T. Kouwenhoven MSc
- Telephone
- +31 71 527 4799
- t.kouwenhoven@liacs.leidenuniv.nl
- ORCID iD
- 0000-0003-2480-4073
I am a PhD candidate at the Creative Intelligence Lab who tries to improve communication between humans and Artificial Intelligence by co-creating shared vocabularies. Tom Kouwenhoven is a member of the interdisciplinary research programme Society, Artificial Intelligence and Life Sciences (SAILS).
My work is situated between Artificial Intelligence, Language evolution, and Cognitive psychology. I take inspiration from the field of Language Evolution and try to combine it with my background in AI to create adaptive machine learning algorithms which facilitate natural interactions between humans and machines. With this project, I aim to develop methods that result in mutual understanding about words and their corresponding meanings such that both, humans, and computers better understand each other.
PhD candidate
- Science
- Leiden Inst of Advanced Computer Science
- Kouwenhoven T., Verhoef T., Raaijmakers S.A. & Kleijn R.E. de (2023), Modeling human sequential behavior with deep neural networks in emergent communication. Goldwater M., Anggoro F.K., Hayes B.K. & Ong D.C. (Eds.), Proceedings of the 45th annual conference of the cognitive science society. 45th Annual Conference of the Cognitive Science Society 26 July 2023 - 29 July 2023. Proceedings of the Annual Meeting of the Cognitive Science Society no. 45: Cognitive Science Society. 1747-1754.
- Dijk B.M.A. van, Kouwenhoven T., Spruit M. & Duijn M.J. van (2023), Large language models: the need for nuance in current debates and a pragmatic perspective on understanding. Bouamor H., Pino J. & Bali K. (Eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023 Conference on Empirical Methods in Natural Language Processing 6 December 2023 - 10 December 2023. Singapore: Association for Computational Linguistics. 12641–12654.
- Duijn M.J. van, Dijk B.M.A. van, Kouwenhoven T., Valk W. de, Spruit M. & Putten P.W.H. van der (2023), Theory of mind in large language models: examining performance of 11 state-of-the-art models vs. children aged 7-10 on advanced tests. Jiang J., Reitter D. & Deng S. (Eds.), Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL). 27th Conference on Computational Natural Language Learning (CoNLL) 6 December 2023 - 7 December 2023. Singapore: Association for Computational Linguistics. 389–402.
- Kouwenhoven T., Kleijn R.E. de, Raaijmakers S.A. & Verhoef T. (2022), Need for structure and the emergence of communication. Culbertson J., Perfors A., Rabagliati H. & Ramenzoni V. (Eds.). 44th Proceedings of the Annual Meeting of the Cognitive Science Society 27 July 2022 - 30 July 2022 no. 44: eScholarship Publishing. 549-555.
- Kouwenhoven T., Verhoef T., De Kleijn R.E. & Raaijmakers S.A. (2022), Emerging grounded shared vocabularies between human and machine, inspired by human language evolution, Frontiers in Artificial Intelligence 5: 886349.
- Kouwenhoven T., Towns R.J. & Verhoef T. (2022), Modelling the emergence of vocal grooming. Ravignani A., Asano R., Valente D., Ferreti F., Hartmann S., Hayashi M., Jadoul Y., Martins M., Oseki Y., Rodrigues E.D., Vasileva O. & Wacewicz S. (Eds.), Proceedings of the joint conference on language evolution (JCoLE). Joint Conference on Language Evolution (JCoLE) 5 September 2022 - 5 September 2022. Joint Conference on Language Evolution. Nijmegen: Max Planck Institute for Psycholinguistics. 434-436.
- Peeperkorn M. Kouwenhoven T. Duijn M. van (2019), Displaced Grooming Events: An agent-based model investigating displaced social bonding activities. The Cogntition, Behavior & Evolution Network, Amsterdam. 14 November 2019 - 15 November 2019. [conference poster].