Titlebook: Unconventional Programming Paradigms; International Worksh Jean-Pierre Banatre,Pascal Fradet,Olivier Michel Conference proceedings 2005 Spr

淘氣

Programming an Amorphous Computational Mediumbors. To program such a system, we need a high-level description language for desired global behaviors, and a system to compile such descriptions into locally executing code which robustly creates and maintains the desired global behavior. I survey existing amorphous computing primitives and give de

匯總

Computations in Space and Space in Computationsena” as “problem solving devices” or more generally, as a fruitful source of inspiration to develop new programming paradigms. It is the latter topic which interests us here. The idea of numerical experiment can be reversed and, instead of using computers to simulate a fragment of the real world, th

冥想后

Bio-inspired Computing Paradigms (Natural Computing)briefly discussing the main areas of natural computing (genetic algorithms–evolutionary computing, neural computing, DNA computing, and membrane computing), we mention some of the hopes and the difficulties/limits of this enterprise.

Heresy

Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigmputation has already been known in computer science since more than 40 years, but their utilization to program other algorithms is a more recent invention. In this paper, we outline the approach by giving an example where evolutionary algorithms serve to program cellular automata by designing rules

幻影

Design, Simulation, and Experimental Demonstration of Self-assembled DNA Nanostructures and Motorstarity of DNA bases renders DNA an ideal material for programmable self-assembly of nanostructures. DNA self-assembly is the most advanced and versatile system that has been experimentally demonstrated for programmable construction of patterned systems on the molecular scale. The methodology of DNA

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paragon

exhilaration

新娘

0302-9743 interacting with programs. They are implemented by embedding new sophisticated data structures in a classical programming model (API), by extending an existing 978-3-540-27884-9978-3-540-31482-0Series ISSN 0302-9743 Series E-ISSN 1611-3349