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TDDC17 Artificial Intelligence

Seminars


2018 Fall Seminars! (currently under construction)

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

Last Changed: 19 July, 2018 15:03


Week 36

  • Tue. 09/04 13-15 C4
    • 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:
  • Thur. 09/06 08-10 C4
    • 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:

Week 37

  • Tue. 09/11 15-17 C1
    • 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:
  • Thur. 09/13 08-10 C4
    • Seminar 4: Knowledge Representation I
    • Hour 1: Constraint Satisfaction
    • Hour 2: Introduction to KR
    • Reading: ch6: 6.1-6.3
    • Slides:
  • Fri. 09/14 15-17 C1
    • Seminar 5: Knowledge Representation II
    • Hour 1: Logic-based Agents, Wumpus World
    • Hour 2: Propositional Logic and Resolution
    • Reading: ch7
    • Slides:

Week 38

  • Mon. 09/17 10-12 C1
    • Seminar 6: Knowledge Representation III
    • Hour 1: 1st-order logic and resolution
    • Hour 2: Knowledge Representation Techniques
    • Reading: ch8, ch9, ch12
    • Slides:
  • Tue. 09/18 13-15 C1
    • Seminar 7 : Knowledge Representation IV
    • Hour 1:
    • Hour 2:
    • Reading:
  • Thur. 09/20 08-10 C1
    • Seminar 8 : Uncertain Knowledge and Reasoning
    • Hour 1: Probablility Theory
    • Hour 2: Bayesian Networks
    • Reading: ch13, ch14: 14.1-14.4

Week 39

  • Tue. 09/25 13-15 A2
    • Seminar 9: Planning I (Guest lecturer: Dr. Jonas Kvarnström)
    • Introduction to Planning
    • Classical Planning and Domain Definition Languages
    • Planning as Search
    • Relaxation and General Admissible Heuristics
    • Reading: ch10
    • Slides:
  • Fri. 09/27 08-10 C4
    • Seminar 10: 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 40

  • Mon. 10/01 10-12 A2
    • Seminar 11: 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:
  • Tue. 10/02 13-15 A2
    • Seminar 12: Machine Learning II (Guest lecturer: Olov Andersson)
    • Hour 1-2: Reinforcement Learning
    • Reading: ch17: 17.1-17-2, ch21: 21.1-21.4
    • Slides:
  • Fri. 10/05 15-17 A2
    • Seminar 13: Deep Learning (Guest lecturer: Olov Andersson)
    • Slides:

Week 41

  • Mon. 10/08 10-12 A2
    • Seminar 14: Robotics/Perception I (Guest lecturer: Piotr Rudol)
    • Hour 1:
    • Hour 2:
    • Reading: Chapt. 24
    • Slides:
  • Tue. 10/09 13-15 A2
    • Seminar 15: Robotics/Perception II (Guest lecturer: Mariusz Wzorek)
    • Hour 1:
    • Hour 2:
    • Reading: Chap 25
    • Slides:

Week 42

  • Tue. 10/16 13-15 Ada Lovelace (B-Hus)
    • (The location of this seminar will be at ADA Lovelace in B-Hus across from the JAVA Cafe).
    • Seminar 16: AIICS Intelligent Unmanned Aerial Vehicle Research
    • Also short discussion about the Exam
    • Slides:


Page responsible: Patrick Doherty
Last updated: 2018-07-22