30 July 2021
on course website
Human AI: Modelling, Simulation and Analysis of Adaptive Human Mental, Social and Health-Related Processesonline course
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.
This course introduces a network-oriented modelling approach based on adaptive networks. This approach is useful for modelling social interactions and mental and health-related processes within their respective networks. It also extends to integrated physical, mental, social, and health processes.
These network models cover the dynamics of causal effects, changing causal connections and excitability or sensitivity thresholds.
Higher-order adaptiveness is another topic covered in the course, which includes the role of metaplasticity and the extent to which plasticity occurs in the field of cognitive neuroscience.
prof. dr. Jan Treur
This course is intended for students or professionals interested in learning more about modelling and the computer simulation of mental, social, and health-related processes. We believe the course will be of particular interest to Ph.D., Master’s, or Bachelor students, though students from any discipline can appreciate the contents of the course. No prior programming or modelling experience is required.
If you have doubts about your eligibility for the course, please let us know. Our courses are multi-disciplinary and therefore are open to students with a wide variety of backgrounds.
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.
Contact Hours: 45
Do you want to make the most out of your summer? You can combine this course with a course in session 1 to create a 4-week Summer School in Amsterdam.
EUR 700: The tuition fee of a two-week course depends on your situation and ranges from €700-950. The tuition fee includes:
- exclusive content for a limited number of students;
- 3 ECTS (European study credits) and a certificate;
- individual/group guidance from professor;
- online, interactive classes;
- possibilities to expand your international network;
- full support from the summer school team;
- optional social programme to meet fellow students and professionals.
on course website