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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.

2020S, VU, 2.0h, 3.0EC

Merkmale

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

Lernergebnisse

Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage...

After successful completion of the course, students are able to:

- Develop and apply uninformed and informed search methods

- Design and implement (meta)heuristic methods for various problems

- Model problems with constrsint programming (CP) modeling languages and SAT

- Use CP/SAT for solving various problems

- Understand concepts regarding tree/hypertree decompositions and be able to use (hyper)tree decompositions in problem solving

- Explain methods that are used for automated algorithm configuration and algorithm selection

- Apply automated algorithm selection and configuration for various problems/algorithms

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

 

Methoden

 

  • 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

 

Prüfungsmodus

Prüfungsimmanent

Weitere Informationen

The preliminary discussion (and the first lecture) will take place on 02.03.2020 (12:15 - 13:00) (FAV Hörsaal 1, Favoritenstr. 9-11, Erdgeschoß)

 

 ECTS Breakdown:

9 classes (including preparation): 25 h

project (including presentation): 25 h

exam: 25 h

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

total: 75 h

 

For latest information, please visit TUWEL

 

Vortragende

Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Mo.12:00 - 14:0002.03.2020 - 09.03.2020FAV Hörsaal 1 Lecture
Problem Solving and Search in Artificial Intelligence - Einzeltermine
TagDatumZeitOrtBeschreibung
Mo.02.03.202012:00 - 14:00FAV Hörsaal 1 Lecture
Mo.09.03.202012:00 - 14:00FAV Hörsaal 1 Lecture

Leistungsnachweis

Assessment

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

LVA-Anmeldung

Von Bis Abmeldung bis
01.12.2019 10:00 08.03.2020 23:00 09.03.2020 17:00

Anmeldemodalitäten:

Ort: TISS

 

Curricula

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: TUWEL

 

Begleitende Lehrveranstaltungen

Sprache

Englisch