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TDDC17 Artificial Intelligence

Seminars


2018 Fall Seminars!

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

Last Changed: 02 Oct, 2018 12:55


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: sem1:4sl/page (updated 18-09-02)
  • 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: sem2:4sl/page (updated 18-09-07)

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: sem3:4sl/page (updated 18-09-07)
  • 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: sem4:4sl/page (updated 18-09-12)
  • Fri. 09/14 15-17 C1
    • Seminar 5: Knowledge Representation II
    • Hour 1: Logic-based Agents, Wumpus World
    • Hour 2: Propositional Logic
    • Reading: ch7
    • Slides: sem5:4sl/page

Week 38

  • Mon. 09/17 10-12 C1
    • Seminar 6: Knowledge Representation III
    • Hour 1: DPPL and WalkSAT, Satisfiability
    • Hour 2: 1st-order logic and other logics
    • Reading: ch8, ch9, ch12
    • Slides: see seminar 5 & 6 slides!
  • Tue. 09/18 13-15 C1
    • Seminar 7 : Knowledge Representation IV
    • Hour 1:
    • Knowledge Representation Techniques
    • Hour 2:
    • Knowledge Representation Techniques
    • Reading:
    • Slides: sem6:4sl/page
  • 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
    • Slides: sem8:4sl/page

Week 39

  • Tue. 09/25 13-15 A2
    • Seminar 9: Planning I (Guest lecturer: Dr. Jonas Kvarnström)
    • Introduction to Planning
    • Concepts in Classical Planning
    • Planning as State Space Search
    • Relaxation and General Admissible Heuristics
    • Reading: ch10
    • Slides: sem9:1sl/page
  • Fri. 09/27 08-10 C4
    • Seminar 10: Planning II (Guest lecturer: Dr. Jonas Kvarnström)
    • Heuristics, Continued
    • Partial Order Planning (Plan Space Search)
    • Beyond Classical Planning: An overview
    • Reading: ch11
    • Slides: sem9-10:1sl/page

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: sem11:2sl/page
  • 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: sem12:2sl/page
  • Fri. 10/05 15-17 A2
    • Seminar 13: Deep Learning (Guest lecturer: Olov Andersson)
    • Slides: sem13:2sl/page

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: sem14:2sl/page
  • Tue. 10/09 13-15 A2
    • Seminar 15: Robotics/Perception II (Guest lecturer: Mariusz Wzorek)
    • Hour 1:
    • Hour 2:
    • Reading: Chap 25
    • Slides: sem15:2sl/page

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: 2018-10-08