Projecten per jaar
Persoonlijk profiel
Expertise
I am a PhD student at the AI Lab of the VUB, supervised by Bart de Boer. In my PhD project (start: 2019), I use agent-based models to study the social, cognitive and language-specific factors that drive language change. I apply my models to case studies from the languages of the world. In addition to agent-based models. My research is supported by an FWO PhD Fellowship Identifying drivers of language change using neural agent-based models. I was previously funded by the Flanders AI Programme.
Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop Peter Dekker actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
Projecten
- 1 Actief
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FWOTM1012: Het identificeren van de drijvende krachten achter taalverandering met behulp van neurale agent-gebaseerde modellen
1/11/20 → 31/10/24
Project: Fundamenteel
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Adaptive Resonance Theory as a computational model of learning inflection classes
Dekker, P., Rasilo, H. & De Boer, B., 2 sep 2023.Onderzoeksoutput: Poster
Open Access -
Demo: Languages competing in a city
Dekker, P., 1 mrt 2023Onderzoeksoutput: Digital or Visual Products
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Language-specific and universal factors behind morphological simplification: An agent-based modelling study of Alorese
Dekker, P., Klamer, M. & De Boer, B., 5 sep 2022, Proceedings of the Joint Conference on Language Evolution. 2022 redactie Joint Conference on Language Evolution, blz. 57-59 3 blz.Onderzoeksoutput: Conference paper
Open AccessBestand8 Downloads (Pure) -
Learning inflection classes using Adaptive Resonance Theory
Dekker, P. & De Boer, B., 5 sep 2022.Onderzoeksoutput: Poster
Open Access -
Computersimulaties laten zien hoe taal versimpelt
Dekker, P., 10 jun 2021, Wtnschp.be (wetenschapsblog).Onderzoeksoutput: Blog
Open Access
Prijzen
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FWO predoctoral fellowship fundamental research: Identifying drivers of language change using neural agent-based models
Dekker, Peter (Recipient), 8 okt 2020
Prijs: Fellowship awarded competitively
Activiteiten
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Explaining the processes of change behind a phylogenetic tree: Agent-based models and coalescent simulations
Peter Dekker (Speaker)
7 feb 2023Activiteit: Talk at an external academic organisation
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Thematic panel "Agent-based modelling in historical sociolinguistics" at Historical Sociolinguistics Network Conference (HiSoN) 2023
Peter Dekker (Organiser), Dirk Pijpops (Organiser) & Bart De Boer (Organiser)
31 mei 2023Activiteit: Participation in workshop, seminar
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Agent-based simulations of affix change: Interacting mechanisms under social dynamics
Peter Dekker (Speaker), Sonja Gipper (Speaker), Marian Klamer (Speaker) & Bart De Boer (Speaker)
18 aug 2023Activiteit: Talk or presentation at a conference
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Phonotactic influence on morphological simplification: Implications for theories of protolanguage
Peter Dekker (Speaker) & Bart De Boer (Speaker)
27 sep 2023Activiteit: Talk or presentation at a conference
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Agent-based simulations of language change provide insights for human-agent interaction: Two case studies of social dynamics
Peter Dekker (Speaker), Sonja Gipper (Speaker), Marian Klamer (Speaker) & Bart De Boer (Speaker)
30 sep 2023Activiteit: Talk or presentation at a conference
Bestand
Knipsels
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Gaat een steenoud sterrenbeeldverhaal helemaal terug naar de prehistorie?
27/02/21
1 Mediabijdrage
Pers / media: !!Expert Comment
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Scriptie
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Reconstructing language ancestry by performing word prediction with neural networks
Auteur: Dekker, P., 25 jan 2018Scriptie/Masterproef: Master's Thesis
Bestand