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Amorphous computing
Open accessAbstract
O ver the next few decades, two emerging technologies-microfabrication and cellular engineering-will make it possible to assemble systems incorporating myriads of informationprocessing units at almost no cost, provided all units need not work correctly and that there is no need to manufacture precise geometrical arrangements among them.The shift to this technology will precipitate fundamental changes in methods for constructing and programming computers, and in our view computation itself.Microelectronic mechanical components have become so inexpensive to manufacture we can anticipate integrating logic circuits, microsensors, actuators, and communications devices on the same chip to produce particles that could be mixed with bulk materials, such as paints, gels, and concrete.Imagine coating bridges and buildings with smart paint that senses and reports on traffic and wind loads and monitors structural integrity.A smart-paint coating on a wall could sense vibrations, monitor the premises for intruders, and cancel noise.Even more striking is the amazing progress in understanding the biochemical mechanisms in individual cells, promising that we'll be able to harness these mechanisms to construct digital logic circuits. AMORPHOUSFor coherent behavior from vast numbers of unreliable microsensors, actuators, and communication devices interconnected in unknown ways, apply the lessons of cellular cooperation in biological organisms.
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Cited by
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Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522
The second wave of synthetic biology: from modules to systems
Purnick, P. E. M., & Weiss, R. (2009) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2698 · Cited by 1,181
Self-citationHuman Interaction With Robot Swarms: A Survey
Kolling, A., Walker, P., Chakraborty, N., Sycara, K., & Lewis, M. (2016) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2015.2480801 · Cited by 424
Biomolecular computing systems: principles, progress and potential
Benenson, Y. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3197 · Cited by 373
Developing pervasive multi-agent systems with nature-inspired coordination
Zambonelli, F., Omicini, A., Anzengruber, B., Castelli, G., De Angelis, F. L., Serugendo, G. D. M., Dobson, S., Fernandez-Marquez, J. L., Ferscha, A., Mamei, M., et al. (2015) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2014.12.002 · Cited by 96
Metadata
- Authors
- Abelson, H., Allen, D., Coore, D., Hanson, C., Homsy, G., Knight, T. F., Nagpal, R., Rauch, E., Sussman, G. J., & Weiss, R.
- Venue
- Communications of the ACM
- Published
- 2000-05
- Volume
- 43
- Issue
- 5
- Pages
- 74-82
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W1785874214
- Cited by
- 521
- References
- 0
- FWCI
- 92.75
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Abelson, H., Allen, D., Coore, D., Hanson, C., Homsy, G., Knight, T. F., Nagpal, R., Rauch, E., Sussman, G. J., & Weiss, R. (2000). Amorphous computing. Communications of the ACM. https://doi.org/10.1145/332833.332842
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