Menü
Cognitive Computation
Search Site
only in current section
Advanced Search…
You are here:
Home
›
Teaching
›
teaching_files
›
2019-ws-classify-midterm
Info
2019-ws-classify-midterm
2019-ws-classify-midterm.pdf
— PDF document, 456 KB (467092 bytes)
Home
Quick Access
Research
Research Projects
Publications
Teaching
Cognitive Modeling (SS 2021)
Cognitive Modeling (SS 2020)
Cognitive Reasoning: Methods, Algorithms, and Statistics to Discern Human from Artificially Generated Data (WS 2019/20)
Working Memory and Cognitive Reasoning (WS 2019/20)
Cross-Domain Modeling of Human Cognition (SS 2019)
Ethics in AI (SS 2019)
Predicting Cognition via Machine Learning (WS 2018)
Spatial Cognition (WS 2018)
Logics in AI (SS 2018)
Seminar (WS 2017/18)
Seminar (SS 2017)
Seminar (WS 2016/17)
Staff
Daniel Brand
Hannah Dames (Tschannen)
Paulina Friemann
Barbara Kuhnert
Marco Ragni
Julia Wertheim
Nicolas Riesterer
Sara Todorovikj
Open Science
Modeling Challenge
Former
Syllogism Challenge 2017
Experiments
General Information
The Train Game
Syllogistic Reasoning
Relational Reasoning
Navigation
Research
Teaching
Cognitive Modeling (SS 2021)
Cognitive Modeling (SS 2020)
Cognitive Reasoning: Methods, Algorithms, and Statistics to Discern Human from Artificially Generated Data (WS 2019/20)
Working Memory and Cognitive Reasoning (WS 2019/20)
Cross-Domain Modeling of Human Cognition (SS 2019)
Ethics in AI (SS 2019)
Predicting Cognition via Machine Learning (WS 2018)
Spatial Cognition (WS 2018)
Logics in AI (SS 2018)
Seminar (WS 2017/18)
Seminar (SS 2017)
Seminar (WS 2016/17)
teaching_files
2019-ws-classify-midterm
Staff
Open Science
Modeling Challenge
Experiments
2019-ws-classify-midterm.pdf
—
PDF document,
456 KB (467092 bytes)
