Buch, Englisch, Band 4135, 270 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g
5th International Conference, UC 2006, York, UK, September 4-8, 2006, Proceedings
Buch, Englisch, Band 4135, 270 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-38593-6
Verlag: Springer Berlin Heidelberg
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Naturwissenschaften Biowissenschaften Biowissenschaften
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
Weitere Infos & Material
Invited Papers.- Graph Machines and Their Applications to Computer-Aided Drug Design: A New Approach to Learning from Structured Data.- Rational Models of Cognitive Control.- Fault-Tolerance in Biochemical Systems.- Optical Computing and Computational Complexity.- Regular Papers.- If a Tree Casts a Shadow Is It Telling the Time?.- Peptide Computing – Universality and Theoretical Model.- Handling Markov Chains with Membrane Computing.- Approximation Classes for Real Number Optimization Problems.- Physical Systems as Constructive Logics.- On Spiking Neural P Systems and Partially Blind Counter Machines.- Chemical Information Processing Devices Constructed Using a Nonlinear Medium with Controlled Excitability.- Flexible Versus Rigid Tile Assembly.- On Pure Catalytic P Systems.- Mapping Non-conventional Extensions of Genetic Programming.- The Number of Orbits of Periodic Box-Ball Systems.- The Euclid Abstract Machine: Trisection of the Angle and the Halting Problem.- 1/f Noise in Elementary Cellular Automaton Rule 110.- A Light-Based Device for Solving the Hamiltonian Path Problem.- Optimizing Potential Information Transfer with Self-referential Memory.- On the Power of Bio-Turing Machines.- Ergodic Dynamics for Large-Scale Distributed Robot Systems.