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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dittrich, P. Matsumaru, N. |
| Copyright Year | 2007 |
| Description | Author affiliation: Friedrich Schiller Univ. Jena, Jena (Dittrich, P.; Matsumaru, N.) |
| Abstract | Chemical information processing posseses a variety of valuable properties, such as, robustness, concurrency, fault- tolerance, and evolvability. However, it is difficult to predict and program a chemical system, because the computation emerges as a global phenomenon from microscopic reactions. Here, we will present design principles for chemical programs. We focus on programs that should compute a qualitative and not quantitative result. The design principles are based on chemical organization theory, which defines a chemical organization as a closed and self- maintaining set of molecular species. The fundamental assumption of so called organization-oriented programming is that computation should be understood as a movement between chemical organizations. In this case we expect that the resulting system is more robust, and fine-tuning of the kinetic laws will be less important. |
| Starting Page | 18 |
| Ending Page | 23 |
| File Size | 159601 |
| Page Count | 6 |
| File Format | |
| DOI | 10.1109/HIS.2007.57 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-17 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Chemical analysis Microscopy Information processing Computer architecture Robustness Kinetic theory Chemical processes Chemical elements Hybrid intelligent systems Mathematical programming |
| Content Type | Text |
| Resource Type | Article |
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