Organization profile

Organisational unit profile

The Cognitive Science & Artificial Intelligence research program concerns itself with the computational modelling of cognitive processes in the visual, linguistic, and ludological domains. Research in the program is predominantly empirical and automatic; through machine learning, computers induce models from data. By manipulating the representation of the tasks to be learned, the experimenter can use the experiments to induce new theories (by using knowledge-free representations) as well as validate existing theories (by adopting theory-driven representations). Although research in the group fully adopts the entire toolbox of machine learning methods, there is also a longstanding home-grown interest in the usage and development of memory-based (example-based, k-nearest neighbour) learning algorithms.

In the visual domain, highlight interests are the recognition of the "fingerprint" of master painters, texture classification, object and face recognition, facial dynamics analysis, and the detection of outliers through dimension reduction and dissimilarity metrics. In the linguistic domain, work is performed in automatic machine translation, word sense disambiguation, paraphrasing, text analytics, and text correction. In the ludological domain (games studies), research focuses on opponent modeling, developing artificially intelligent computer players, and measuring entertainment in games.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Linguistics Engineering & Materials Science
Semantics Engineering & Materials Science
language Social Sciences
Labeling Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science
Computational linguistics Engineering & Materials Science
linguistics Social Sciences
Robots Engineering & Materials Science

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Research Output 2001 2019

Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop

Alishahi, A., Chrupala, G. & Linzen, T., 2019, (Submitted) In : Natural Language Engineering.

Research output: Contribution to journalArticleScientific

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement

oshi, R., Gupta, V., Li, X., Cui, Y., Wang, Z., Norouzzadeh Ravari, Y., Klabjan, D., Sifa, R., arsaeian, A., Drachen, A. & Demeduik, S., 29 Jan 2019, ACSW 2019 Proceedings of the Australasian Computer Science Week Multiconference.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Brain-Computer Interfaces for Enhanced Human-Robot Interaction

Alimardani, M. & Hiraki, K., 2019, In : Frontiers in Robotics and AI.

Research output: Contribution to journalArticleScientificpeer-review

Cortisol associated with hypometabolism across the Alzheimer's disease spectrum

Wirth, M., Lange, C. & Huijbers, W., 2019, In : BioRxiv. p. 514968

Research output: Contribution to journalArticleScientific

Alzheimer Disease
Cross-Sectional Studies

Non-invasive neurophysiological measures of learning: A meta-analysis

Tinga, A., de Back, T. & Louwerse, M., 2019, In : Neuroscience and Biobehavioral Reviews.

Research output: Contribution to journalArticleScientificpeer-review

On the difficulty of a distributional semantics of spoken language

Chrupała, G., Gelderloos, L., Kádár, Á. & Alishahi, A., 2019, Proceedings of the Society for Computation in Linguistics. Vol. 2.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
Unsupervised learning
Speech processing

Activities 2017 2018

Hints spelen met een robot

Paul Vogt (Participant), Emiel Krahmer (Participant), Jan de Wit (Participant), Mirjam de Haas (Participant), Bram Willemsen (Participant)

Activity: Other activity typesOtherPopular

Tax & Technology - Data Quality Lecture

Chris Emmery (Speaker)
28 Sep 2018

Activity: Talk or presentation typesInvited talkProfessional

University of Technology Sydney

M.A. Conijn (Visiting researcher)
29 Jan 201811 Jun 2018

Activity: Visiting an external institution typesVisiting an external academic institutionScientific

Robots for Language Learnnig

Paul Vogt (Organiser), Tony Belpaeme (Organiser)
2018 → …

Activity: Participating in or organising an event typesOrganising a workshop, seminar, course etc.Scientific

Symbol grounding in modeling language acquisition and evolution

P.A. Vogt (Speaker)
17 Jan 2018

Activity: Talk or presentation typesInvited talkScientific

Hints spelen met een robot

Paul Vogt (Participant), Emiel Krahmer (Participant), Mirjam de Haas (Participant), Jan de Wit (Participant), Bram Willemsen (Participant)
23 Jul 20185 Aug 2018

Activity: Other activity typesOtherPopular

Projects 2018 2021

Prizes / Recognition

Science Live @DRONGO award

Paul Vogt (Recipient), 9 Dec 2017