181.190 Problem Solving and Search in Artificial Intelligence
Diese Lehrveranstaltung ist in allen zugeordneten Curricula Teil der STEOP.
Diese Lehrveranstaltung ist in mindestens einem zugeordneten Curriculum Teil der STEOP.

2014S, VU, 2.0h, 3.0EC
TUWEL

Merkmale

  • Semesterwochenstunden: 2.0
  • ECTS: 3.0
  • Typ: VU Vorlesung mit Übung

Ziele der Lehrveranstaltung

The aim of this course is to teach main artificial intelligence search techniques used for problem solving in the past years. The emphasis of this course will be in:

  • Informed search techniques
  • Constraint satisfaction
  • Advanced (meta)heuristic search techniques
  • Learning and Search

 

Inhalt der Lehrveranstaltung

Topics:

  • Basic Concepts
  • Uninformed Search Strategies  
  • Heuristic Algorithms
  • Constraint Satisfaction Problems
  • Constraint Programming Techniques
  • Decomposition Techniques (Tree and Hypertree Decompositions)
  • Metaheuristic Algorithms (Simulated Annealing, Tabu Search, Genetic Algorithms…)
  • Adversarial Search and Game Playing
  • Application of Machine Learning in Search (Automated Algorithm Selection, Hyperheuristics)
  • Algorithm Configuration (Automated Parameter Tuning)

Didactical Concept

  • Lectures
  • Exercises/project: students will implement an exact or a metaheuristic method for a particular problem
  • Discussion for solving of different logical problems and puzzles
  • Presentation of solution methods from students
  • Demonstration of applications developed in research and industrial projects of our group

 

Weitere Informationen

ECTS Breakdown:

9 classes (including preparation): 25 h

project (including presentation): 25 h

exam: 25 h

---------------

total: 75 h

 

For latest information, please visit the website of this course: http://www.dbai.tuwien.ac.at/staff/musliu/ProblemSolvingAI/

Vortragende Personen

Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Do.10:00 - 12:0006.03.2014 - 26.06.2014Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Mo.12:30 - 14:0009.06.2014Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Problem Solving and Search in Artificial Intelligence - Einzeltermine
TagDatumZeitOrtBeschreibung
Do.06.03.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.13.03.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.20.03.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.27.03.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.03.04.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.10.04.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.08.05.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.15.05.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.22.05.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.05.06.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Mo.09.06.201412:30 - 14:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.12.06.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence
Do.26.06.201410:00 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) Problem Solving and Search in Artificial Intelligence

Leistungsnachweis

Assessment

  • Written exam(60%)
  • Assignments (Project) (40%)

LVA-Anmeldung

Von Bis Abmeldung bis
30.01.2014 23:00 09.03.2014 23:00 19.03.2014 18:00

Anmeldemodalitäten

Ort: TISS

 

Gruppen-Anmeldung

GruppeAnmeldung VonBis
Group A30.01.2014 10:0009.03.2014 23:59

Curricula

StudienkennzahlVerbindlichkeitSemesterAnm.Bed.Info
066 011 DDP Computational Logic (Erasmus-Mundus) Keine Angabe
066 931 Computational Intelligence Gebundenes Wahlfach
066 933 Information & Knowledge Management Pflichtfach
066 937 Software Engineering & Internet Computing Gebundenes Wahlfach

Literatur

Z. Michalewicz and D. B. Fogel. How to Solve It: Modern Heuristics, 2nd edition, Springer-Verlag, 2004

Artificial Intelligence: A Modern Approach (Third Edition) by Stuart Russell and Peter Norvig; Prentice Hall, 2010.

Different scientific papers

(slides: http://www.dbai.tuwien.ac.at/staff/musliu/ProblemSolvingAI/ )

 

Vorausgehende Lehrveranstaltungen

Begleitende Lehrveranstaltungen

Weitere Informationen

Sprache

Englisch