Modeling Meaning and Knowledge, Spring 2016

Special course “Modeling Meaning and Knowledge”

Mondays at 14.15-16.00

University of Helsinki, main building, Fabianinkatu 33 / Unioninkatu 34, hall IV

AGENDA

Jan 25 (14.15-16.00):
Complexity of meaning and knowledge
dynamic semiotics, prof. Pirjo Kukkonen
linguistic variation, prof. Terttu Nevalainen
Tutorial: A story of syntax, semantics and pragmatics from Syntax I to phenomenology and Google

Feb 1 (14.15-16.00):
Knowledge representation
networks of knowledge, prof. Eero Hyvönen (Aalto) (TBC)
spaces of knowledge, prof. Timo Honkela
Tutorial: An introduction to artificial intelligence

Feb 8 (14.15-16.00): Conceptual change
cognitive view, prof. Ismo Koponen
historical view, prof. Mikko Tolonen
Tutorial: Study of words and concepts – Qualitative and quantitative approaches

Feb 15 (14.15-16.00): Knowledge over language borders
prof. Jörg Tiedemann
prof. Liisa Tiittula
Tutorial: An intellectual obituary of Melissa Bowerman

Feb 22 (14.15-16.00): Interactive session
Tutorial: Independent component analysis of signals and texts

Feb 29 (14.15-16.00): From data to knowledge with machine learning
prof. Tapani Raiko (Aalto)
Tutorial: A history of machine learning and neural networks research

Mar 14 (14.15-16.00): Studying understanding and emotions
prof. Mikko Sams (Aalto)
prof. Arto Mustajoki
Tutorial: An introduction to ambiguity and vagueness

Mar 21 (14.15-16.00): Interactive session among participants

Apr 4 (14.15-16.00): Creating scientific knowledge as a social process
Dr. Arho Toikka
Tutorial: Kuhn’s Structure of Scientific Revolutions and Gärdenfors’ Conceptual Spaces

Apr 11 (14.15-16.00): Understanding future and modeling creativity
Dr. Mikko Rask: Uncertain knowledge of the future
Prof. Hannu Toivonen: Automating literary creativity
Tutorial: Metaphors, analogies and conceptual blending

Apr 18 (14.15-16.00): Knowledge of society
prof. Mika Pantzar
Sakari Virkki (Competence Map Solutions)
Tutorial: Modeling evolutionary and dynamical systems

Apr 25 (14.15-16.00): Legal and wellbeing knowledge
Anna Ronkainen (TrademarkNow)
Dr. Krista Lagus
Tutorial: Text mining of document collections and social media discussions

Small changes are possible.

Timo Honkela

Professor, Department of Modern Languages

honkela_professoriksi

One of the long-term objectives for the professorship is to generate new research that promotes the use of digital resources. The resources include digitized traditional publications such as books and newspapers, and modern internet-based conversations. Using statistical machine learning and pattern matching methods, it has become possible to analyze complex phenomena from multiple perspectives. For humanities and social sciences, these developments provide new opportunities to strengthen their position.