====== B4M36PUI/BE4M36PUI – Planning for Artificial Intelligence ======
  * Timetable for [[https://intranet.fel.cvut.cz/cz/education/rozvrhy-ng.B232/public/html/predmety/47/01/p4701306.html|B4M36PUI]] [[https://intranet.fel.cvut.cz/cz/education/rozvrhy-ng.B232/public/html/predmety/48/69/p4869906.html|BE4M36PUI]]
  * Discussion forum: [[https://cw.felk.cvut.cz/forum/forum-1866.html|BE4M36PUI/B4M36PUI Forum]] 

/*
===== News =====
**6.4.2023** -- The tutorial on **12.4.2023** will take place in **14:30 - 16:00 timeslot in room KN:311**. 

**6.4.2023** -- Deadline for the Assignment #1-3 has been extended to **14.4.2023 23:59**. 

**9.3.2023** -- Example for Assignment #1-2 has been fixed (including the PDDLs).

**6.3.2023** -- Assignment #1-2 - Grounding is ready. The description is complete and the automatic evaluation in BRUTE is up and running!

**27.2.2023** -- Lecture recordings can be accessed at [[https://www.youtube.com/playlist?list=PLQL6z4JeTTQll4teTGNcK7fzbpg1ZssIR | this link]]

**27.2.2023** -- PDDLs from the second tutorial are available at the tutorial's page 

**18.2.2023** -- Assignment #1-1 - PDDL description available. 

**17.2.2023** -- First week of the tutorials is canceled, all information regarding organization of the course will be given at the first lecture. 

**1.5.2023** -- Public holidays. Lecture moves to Thursday, May 4th (star wars date). 

**8.5.2023** -- Public holidays. Lecture moves to Tuesday, May 9th. 

*/
===== Lecturer =====
  * [[mailto:xhorcik@fel.cvut.cz|Rostislav Horčík]]
  
===== Tutorial lecturer =====
  * [[mailto:deckejin@fel.cvut.cz|Jindřiška Deckerová]]


===== Course evaluation =====
  * **[[courses:pui:assignments:start|Homework assignments]]:** There will be two homework assignments, together for 50 points. 
  * **Zápočet:** For receiving a Zápočet, assignments 1 and 2 must be successfully submitted before the deadline, and you have to obtain at least 25 points from them.
  * **[[courses:pui:exam|Exam]]:** Total number of points possible to get from the exam is 50, and you have to obtain at least 25 points to pass the course. 
  * **Final grade:** Final grade equals the sum of points from the tutorials (50 points max) and points from the exam (50 points max).

===== Homework assignments =====
Every part of the class has one assignment. The classical planning assignment has 3 separate parts.
  * **[[courses:pui:assignments:assignment1-1|Assignment 1]]**
    * points available: max 15 
    * deadlines: on assignment page

  * **[[courses:pui:assignments:assignment2|Assignment 2]]**
    * points available: max 35 
    * deadlines: on assignment page

/*
  * points available: max 30 (details on the Assignment 1 page)
    * [[courses:pui:assignments:assignment1-1|Part 1 - PDDL]] (5 points)
        * Deadline: week 3   
    * [[courses:pui:assignments:assignment1-2|Part 2 - Grounding]] (10 points)
        * Deadline: week 5
    * [[courses:pui:assignments:assignment1-3|Part 3 - Planner]] (15 points)
        * Deadline: week 8 
*/


===== Old lectures =====

Lectures from PUI 2022 given by Lukáš Chrpa can be found [[https://www.youtube.com/playlist?list=PLQL6z4JeTTQnvhtqkuD2w93EXZjaqXYjC|here]].

===== Literature =====

  * [[http://www.primaryobjects.com/2015/11/06/artificial-intelligence-planning-with-strips-a-gentle-introduction/|Artificial Intelligence Planning with STRIPS, A Gentle Introduction]]
  * Malik Ghallab,‎ Dana Nau,‎ Paolo Traverso: Automated Planning and Acting, Cambridge University Press, 2016.
  * Stefan Edelkamp Stefan Schroedl: Heuristic Search, Theory and Applications, Morgan Kaufmann, 2011.
  * Malik Ghallab, Dana Nau, Paolo Traverso: Automated Planning, Theory and Practice, Morgan Kaufmann, 2004.