Syllabus/achievement requirements

Syllabus

1. The lecture notes (you can find them in the Schedule where they are being added right before or after each lecture)
2. A.E. Eiben and J.E. Smith: Introduction to Evolutionary Computing, Second Edition (ISBN 978-3-662-44873-1, available online here when on the UiO network) OR 2nd printing, 2007 (ISBN: 978-3-540-40184-1). Springer. 
   • ??Chapters being syllabus is specified in the Schedule.
3.  S. Marshland: Machine learning: An Algorithmic Perspective. SECOND EDITION (2015), ISBN: 978-1-4665-8328-3, available online here when on the UiO network BUT only for TWO concurrent users  
   • ??Chapters being syllabus s specified in the Schedule.
4. On-line papers (available for download when on the UiO network)
   • Particle Swarm Optimization (only the section about PSO in the pdf) 
   • Cartesian Genetic Programming chapter (chapter 2 only, you can skip section 2.5)
   • Human-level control through deep reinforcement learning. Nature vol 518, pages 529¨C533, (26 February 2015) 
5. On-line document (English translated excerpt from Chapter 6 in the book hva er KUNSTIG INTELLIGENS):
   • ??Future Perspectives on Artificial Intelligence (AI) - What to expect and should we worry?

Supporting literature (not syllabus, in Norwegian)

Jim T?rresen: hva er KUNSTIG INTELLIGENS, 2013, Universitetsforlaget, ISBN: 9788215020211

Obligatory Mid-Term Exercises (each exercise is PASS/FAIL):

1. Two exercises on evolutionary algorithm and machine learning.
2. Students registered for INF4490 will be given additional excercises within area of the course.