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Human AI

This course invites you to connect your findings with those of your peers and collaborate on research-based projects.

Course description

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.

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. 

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.

Assessment is based on the assignments. In the second week of the course, a final assignment is addressed, which might be worked out to a paper that may be submitted to an international conference, where it could be presented and provided a publication. For this, support is provided also after the course.
 

About this course

Course level

  • Master / Advanced

Course coordinator

  • Jan Treur

Credits

  • 3 ECTS

Contact hours

  • 60

Language

  • English

Tuition fee

  • €650 - €1150

Additional course information

  • Learning objectives

    By the end of the course, students will be able to:

    • Identify different types of mental, social and health-related processes 
    • Understand how individual and social behaviour emerges from mechanisms known from Cognitive, Affective and Social Neuroscience, and from Cognitive and Social Sciences, and Health Sciences
    • Design network models for adaptive mental, social and health-related processes
    • Perform simulations based on these models using the provided Network-Oriented Modeling software environment
  • Course schedule

    Take a look at the preliminary course schedule here.

    Classes will take place from Monday 18 July until Friday 29 July. In general classes will be during the week between 9am and 17pm. Wednesday afternoons and weekends will be off for optional social activities or personal time. Good to be aware that self-study will be required in your private time (nights and weekends). Sunday 17 July and Sunday 31 July are arrival and departure days (in case you arrange accommodation via our housing service). More details will be shared in the course syllabus which will be shared with the participants in June. 

  • About the Course Coordinator

    Jan Treur works as a full-time professor in Artificial Intelligence. He is an internationally well-recognized expert in human-directed AI and cognitive and social modelling. The research of Jan Treur during the past 10 years is multidisciplinary and concerns both fundamental and application-directed aspects of human-directed AI. This covers methods and techniques for modelling and analysis of human-directed AI approaches in a number of application areas, including Cognitive, Health-related and Social modelling and simulation. He has been and still is active both by author and PC member roles in practically all relevant conferences and journals in these AI and application areas. Currently his research has a multidisciplinary focus and addresses Network-Oriented Modeling approaches based on adaptive networks to model cognitive, affective and social interactions. 

Team VU Amsterdam Summer School

We are here to help!

+31 20 59 86429

Skype: by appointment via amsterdamsummerschool@vu.nl

Contact

  • Bianca
  • Programme Coordinator
  • Celia
  • Summer and Winter School Officer
Celia VU Amsterdam Summer & Winter School
  • Helena
  • Summer and Winter School Support Assistant
Helena VU Amsterdam Summer and Winter School