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TDDC17 Artificial Intelligence

Seminars


2016 Fall Seminars! (Under Update, not complete)

PDF files of slides will be accessible before each seminar. They may be updated incrementally as the course proceeds.

Last Changed: 25 July, 2016 12:31


Week 35

  • Mon. 29/8 08-10 A1
    • Seminar 1: Course Introduction, History of AI
    • Hour 1: What is AI? Philosophical and mathematical roots.
    • Hour 2: The Intelligent Agent Paradigm.
    • Reading: ch1, ch2, ch26. Turing article.
    • Slides:
  • Tue. 30/8 13-15 A2
    • Seminar 2: Search I
    • Hour 1: The physical symbol system hypothesis. Introduction to search.
    • Hour 2: Uninformed search.
    • Reading: ch3: 3.1-3.4, Newell and Simon article.
    • Slides:
  • Wed. 31/8 10-12 C4
    • Seminar 3: Search II
    • Hour 1: Informed Search
    • Hour 2: Beyond Classical Search, Adverserial Search
    • Reading: ch3:3.5-3.7, ch4: 4.1-4.3, 4.6, ch5: 5.1-5.3
    • Slides:

Week 36

  • Tue. 06/9 13-15 A1
    • Seminar 4: Knowledge Representation I
    • Hour 1: Constraint Satisfaction
    • Hour 2: Introduction to KR
    • Reading: ch6: 6.1-6.3
    • Slides:
  • Wed. 07/9 10-12 A1
    • Seminar 5 (FU): Knowledge Representation II
    • Hour 1: Logic-based Agents, Wumpus World
    • Hour 2: Propositional Logic and Resolution
    • Reading: ch7
    • Slides:

Week 37

  • Tue. 13/9 13-15 C4
    • Seminar 6: Knowledge Representation III
    • Hour 1: 1st-order logic and resolution
    • Hour 2: Knowledge Representation Techniques
    • Reading: ch8, ch9, ch12
    • Slides:
  • Wed. 14/9 10-12 A2
    • Seminar 7 : Uncertain Knowledge and Reasoning
    • Hour 1: Probablility Theory
    • Hour 2: Bayesian Networks
    • Reading: ch13, ch14: 14.1-14.4
    • Slides:

Week 38

  • Tue. 20/9 13-15 A1
    • Seminar 8: Planning I (Guest lecturer: Dr. Jonas Kvarnström)
    • Introduction to Planning
    • Classical Planning and Domain Definition Languages
    • Planning as Search
    • Reading: ch10
    • Slides: Hours 1-2:
  • Wed. 21/9 10-12 A1
    • Seminar 9: Planning II (Guest lecturer: Dr. Jonas Kvarnström)
    • Real World Planning
    • Time and Concurrency
    • TALplanner - Making use of domain knowledge
    • Reading: ch11
    • Slides: Hours 1-2:

Week 39

  • Tue. 27/09 13-15 A1
    • Seminar 10: Machine Learning I(Guest lecturer: Olov Andersson)
    • Hour 1-2: Introduction to Machine Learning, Supervised Learning
    • Reading: ch18: 18.1-18.4, 18.6-18.8, ch20: 20.2.2
    • Slides:
  • Wed. 28/09 10-12 A1
    • Seminar 11: Machine Learning II (Guest lecturer: Olov Andersson)
    • Hour 1-2: Reinforcement Learning
    • Reading: ch17: 17.1-17-2, ch21: 21.1-21.4
    • Slides:

Week 40

  • Tue. 04/10 13-15 A1
    • Seminar 12: Robotics/Perception I (Guest lecturer: Piotr Rudol)
    • Hour 1:
    • Hour 2:
    • Reading: Chapt. 24
    • Slides:
  • Wed. 05/10 10-12 A1
    • Seminar 13: Robotics/Perception II (Guest lecturer: Mariusz Wzorek)
    • Hour 1:
    • Hour 2:
    • Reading: Chap 25
    • Slides:

Week 41

  • Tue. 11/10 13-15 C1
    • Seminar 14: Topic to be specified at a later date.
  • Wed. 12/10 10-12 A2
    • (The location of this seminar will be changed from C4 to VISIONEN in B-Hus across from the JAVA Cafe).
    • Seminar 15: AIICS Intelligent Unmanned Aerial Vehicle Research


Page responsible: Patrick Doherty
Last updated: 2016-07-25