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| Research | Computer Vision | Intelligent Robotics Lab | Artificial Intelligence | Education | ||||
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Course Information Revolutions
Institute for Interdisciplinary Studies
This is the information of Spring 2020
Contents
Based on evolution, life and humans learned to learn in their own unique ways. This in turn allowed them to become significantly more complex than anything that had existed on Earth before.Will this happen again in the near future, or not? Is our current technology only step towards super-intelligence? What role will Artificial Intelligence play?
Learning objectives
See the course description for the full list of learning objectives; as Artificial Intelligence (AI) researcher it is my task:- to describe how information technology and AI are currently developing;
- demonstrating how genetic algorithms and multi-agent interactions allow the development of increasingly complex systems;
Schedule
The detailed schedule can be found at datanose.nl The material of the other lectures can be found at Canvas.
Literature
- Mitchell, M. (2001). Life and evolution in computers, History and Philosophy of the Life Sciences, 23, 361-383.
Links
- the multi-agent programmable modeling environment NetLogo
- the Sante Fe's Complexity Explorer courses.
Last updated March 4, 2020
This web-page and the list of participants to this course is maintained by