184.722 Diagrams and Knowledge Representation
Diese Lehrveranstaltung ist in allen zugeordneten Curricula Teil der STEOP.
Diese Lehrveranstaltung ist in mindestens einem zugeordneten Curriculum Teil der STEOP.

2011W, VU, 2.0h, 3.0EC

Merkmale

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

Ziele der Lehrveranstaltung

This course is about computational models of reasoning involving diagrams. A diagram is a form of visual representation, a kind of picture, but unlike sketches, color drawings and paintings, that emphasize qualitative aspects of the represented objects, diagrams focus more on structural and schematic aspects of objects and spatial states of affairs, and are used mostly for analysis and problem solving. Diagrams are very ubiquitous forms of representation and they are present in mathematics, logic, physics, engineering, architecture, urban planning, and many other scientific disciplines and human practices. This topic can be studied from a philosophical, psychological, design and computational perspectives, among others. In the present course, the subject is addressed from a computational perspective, and the focus is on computational models of diagrammatic reasoning implemented as Artificial Intelligence (AI) programs: programs that use diagrams in reasoning and problem solving task. To clarify the sense in which a computer program can represent a diagram (i.e. the external representation on a piece of paper) and reason and solve problems using such representation is one of the main motivations of this course.

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Inhalt der Lehrveranstaltung

  1. Introduction to Diagrammatic Reasoning

  2. The Imagery Debate

  3. Propositional versus Analogical Representations in AI

  4. Diagrammatic Identity, Intentionality and Visualization

  5. Diagrammatic Representation and Interpretation

  6. Heterogeneous Reasoning

  7. Abstraction and the Expressivity of Diagrams

  8. Geometric Description and the Concept of Space

  9. Perceptual Inference and the Triangle of Imagery

  10. Diagrammatic Action Schemes

  11. Conservation Principles and Diagrammatic Derivations

  12. Diagrammatic Induction

  13. Applications of Diagrammatic Reasoning

  14. Diagrams and Knowledge Representation

Vortragende Personen

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Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Di.11:00 - 14:0011.10.2011 - 22.11.2011Seminarraum FAV EG B (Seminarraum von Neumann) Diagrams and Knowledge Representation
Di.11:00 - 14:0025.10.2011EI 6 Eckert HS Diagrams and Knowledge Representation
Di.11:00 - 14:0029.11.2011Seminarraum 8 Diagrams and Knowledge Representation
Di.11:00 - 14:0006.12.2011Seminarraum 8 Diagrams and Knowledge Representation
Diagrams and Knowledge Representation - Einzeltermine
TagDatumZeitOrtBeschreibung
Di.11.10.201111:00 - 14:00Seminarraum FAV EG B (Seminarraum von Neumann) Diagrams and Knowledge Representation
Di.18.10.201111:00 - 14:00Seminarraum FAV EG B (Seminarraum von Neumann) Diagrams and Knowledge Representation
Di.25.10.201111:00 - 14:00EI 6 Eckert HS Diagrams and Knowledge Representation
Di.08.11.201111:00 - 14:00Seminarraum FAV EG B (Seminarraum von Neumann) Diagrams and Knowledge Representation
Di.22.11.201111:00 - 14:00Seminarraum FAV EG B (Seminarraum von Neumann) Diagrams and Knowledge Representation
Di.29.11.201111:00 - 14:00Seminarraum 8 Diagrams and Knowledge Representation
Di.06.12.201111:00 - 14:00Seminarraum 8 Diagrams and Knowledge Representation

LVA-Anmeldung

Von Bis Abmeldung bis
10.10.2011 09:00 24.10.2011 11:00 24.10.2011 15:00

Curricula

StudienkennzahlSemesterAnm.Bed.Info
066 931 Computational Intelligence

Literatur

Es wird kein Skriptum zur Lehrveranstaltung angeboten.

Sprache

Englisch