Human AI: Modeling, Simulation and Analysis of Adaptive Human Mental, Social and Health-Related Processes
Human processes of all kinds are complex and adaptive. Mental, social, and health-related processes can all change and adapt over time with human behaviour. Thought-based processes can change as a result of learning, social interactions can evolve over time, and health-related processes are susceptible to change too.
This course will present theories and findings from a wide range of disciplines, including various branches of cognitive, social, health and neuroscience, to gain insight into underlying mechanisms of human processes that can be exploited in human AI modeling and simulation. The various scientific theories form a factual basis for modelling the processes. We can understand these often adaptive mechanisms through causal relations and causal pathways, which we can model as networks. Using this theoretical framework and the software provided, students can easily simulate a variety of scenarios.
This course invites you to connect your findings with those of your peers and collaborate on research-based projects. During the second week, students will carry out activities that could lay the foundations for a publication that can be finished later on in the course.
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Who is it aimed at?
Bachelor, Master, PhD students and professionals
Apart from a good level of English, students are assumed to have completed undergraduate courses in linear algebra and analysis. Basic knowledge of probability theory is also required.
Does this course require proof of English proficiency?
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By the end of the course, students will be able to:
- Identify the different types of mental, social, and health-related processes.
- Understand how individual and social behaviour is influenced by the mechanisms identified in various fields of science (cognitive, social, and health) and neuroscience (affective and social).
- Design network models for adaptive mental, social and health-related processes.
- Perform simulations based on these models using the provided Network-Oriented modelling software.
Scholarships & funding
Several scholarship options are available. Please check the university website for more information.
EU and Non-EU students fee: 800 EUR
VU Amsterdam offers a variety of intensive, trans-disciplinary online short courses for students and professionals. By joining our Summer or Winter school you can improve your research and academic skills, and expand your knowledge whilst earning study credits. All our small-scale courses are designed to give you an intensive and in-depth look into the subject.
Vrije Universiteit Amsterdam strives to contribute to a better world through her education and research. Vrije Universiteit Amsterdam offers high-quality, meaningful and challenging (post) academic education. With her education, VU Amsterdam delivers a contribution to the society of today and tomorrow by educating students for meaningful positions in that society.
About this institute
Welcome to Vrije Universiteit Amsterdam
Vrije Universiteit Amsterdam (‘VU Amsterdam’) is an internationally renowned research university founded in 1880. The university offers over 175 English-taught programmes at Bachelor’s, Master’s and PhD level to more than 26,000 students from all over the world. Students and staff...
Why study at Vrije Universiteit Amsterdam
With more than 24,000 students, of which 4,088 are international, VU Amsterdam conducts cutting-edge research into problems of societal and scientific importance.
They distinguish themselves in research and education through four interdisciplinary themes:
- Human Health and Life Sciences
- Science for Sustainability
- Connected World
- Governance for Society
As a student this will help you to look beyond the boundaries of scientific disciplines, and to seek for tangible solutions for a better world.
In addition, VU Amsterdam regards diversity, whether in culture, conviction, nationality or prior education, as source of innovation and progress, and hence as special strength.
The Dutch higher education system has been ranked in the top 10 by Universitas 21. In the first Times Higher Education University Impact Ranking, VU Amsterdam is ranked 16th worldwide. In this ranking, universities are assessed based on Sustainable Development Goals (SDGs) in order to measure the impact of the universities on society. In the Academic Ranking of World Universities 2018 (Shanghai Ranking) VU Amsterdam holds the 104th position. The international QS World University ranking 2021 places the Vrije Universiteit at number 236 in the world, which means the Vrije Universiteit belongs to the top 20% of the world.
At VU Amsterdam, the teaching style can be described as student-centred: they encourage students to develop their own opinions through independent and creative thinking. This means that teaching is mainly conducted in small tutorials, where interactivity is the norm rather than the exception. At every opportunity, students are encouraged to engage in constructive dialogue with their professors.
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