Buch, Englisch, Band 888, 268 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
Advanced Course, Stockholm, Sweden, August 9 - 14, 1993. Proceedings
Buch, Englisch, Band 888, 268 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-58843-6
Verlag: Springer Berlin Heidelberg
The volume contains eight carefully revised full versions of the invited three-to-four hour presentations as well as two abstracts. As a consequence of the interdisciplinary topic, several aspects of dynamical and cognitive systems are addressed: there are three papers on computability and undecidability, five tutorials on diverse aspects of universal cellular neural networks, and two presentations on dynamical systems and complexity.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Technische Informatik Externe Speicher & Peripheriegeräte
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik Mathematik Mathematik Allgemein Grundlagen der Mathematik
- Naturwissenschaften Biowissenschaften Biowissenschaften
Weitere Infos & Material
The limits of mathematics course outline and software.- Historical background of Gödel's theorem.- A formal scheme for avoiding undecidable problems. Applications to chaotic behavior characterization and parallel computation.- Cellular neural networks — A tutorial on programmable nonlinear dynamics in space.- Neural coding: A theoretical vista of mechanisms, techniques, and applications.- Hebbian unlearning.- Mapping discounted and undiscounted Markov Decision Problems onto Hopfield neural networks.- “Blob” analysis of biomedical image sequences: A model-based and an inductive approach.- Simplicity criteria for dynamical systems.- Analysis of dynamical systems using predicate transformers: Attraction and composition.
