Name
Abstract | ||
|---|---|---|
Over the course of billions of years, under evolutionary pressure, Nature has evolved solutions to various problems. As our ability to understand the biological mechanisms that are intrinsic in these solutions continues to improve, we have the opportunity to apply this knowledge when solving our challenging problems, in fields such as medicine and the environment. This paper discusses an approach, in which biological systems are investigated as information processing systems, and the understanding of how these systems process information is then applied to engineering systems. Two examples are presented. The first one discusses how the heart's fault-tolerant information processing can be implemented in an electronic system. The second example discusses a cellular biochemical reaction network and how its property of robustness can be implemented in a chemical system. Finally, three different applications, in which this approach is already being applied with promising results, are briefly reviewed. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-28792-3_24 | IPCAT |
Keywords | Field | DocType |
chemical system,biological mechanism,bio-inspired information processing,electronic system,cellular biochemical reaction network,information processing system,engineering system,challenging problem,biological system,systems process information,fault-tolerant information processing,information processing | System of systems engineering,Information processing,Systems engineering,Computer science,System of systems,Robustness (computer science),Mechanism (biology),Electronic systems,Artificial intelligence,Information engineering | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristina Costa Santini | 1 | 41 | 8.12 |