Amorphous Computing
Amorphous computing is the development of organizational principles and programming languages for obtaining coherent behaviors from the cooperation of myriads of unreliable parts that are interconnected in unknown, irregular, and time-varying ways. The impetus for amorphous computing comes fro...
| Main Authors: | , , , , , , , , , |
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| Other Authors: | |
| Language: | en_US |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/5929 |
| _version_ | 1826214836633075712 |
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| author | Abelson, Harold Allen, Don Coore, Daniel Hanson, Chris Homsy, George Knight, Thomas F., Jr. Nagpal, Radhika Rauch, Erik Sussman, Gerald Jay Weiss, Ron |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Abelson, Harold Allen, Don Coore, Daniel Hanson, Chris Homsy, George Knight, Thomas F., Jr. Nagpal, Radhika Rauch, Erik Sussman, Gerald Jay Weiss, Ron |
| author_sort | Abelson, Harold |
| collection | MIT |
| description | Amorphous computing is the development of organizational principles and programming languages for obtaining coherent behaviors from the cooperation of myriads of unreliable parts that are interconnected in unknown, irregular, and time-varying ways. The impetus for amorphous computing comes from developments in microfabrication and fundamental biology, each of which is the basis of a kernel technology that makes it possible to build or grow huge numbers of almost-identical information-processing units at almost no cost. This paper sets out a research agenda for realizing the potential of amorphous computing and surveys some initial progress, both in programming and in fabrication. We describe some approaches to programming amorphous systems, which are inspired by metaphors from biology and physics. We also present the basic ideas of cellular computing, an approach to constructing digital-logic circuits within living cells by representing logic levels by concentrations DNA-binding proteins. |
| first_indexed | 2024-09-23T16:12:12Z |
| id | mit-1721.1/5929 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2025-03-10T13:43:05Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/59292025-02-27T21:05:22Z Amorphous Computing Abelson, Harold Allen, Don Coore, Daniel Hanson, Chris Homsy, George Knight, Thomas F., Jr. Nagpal, Radhika Rauch, Erik Sussman, Gerald Jay Weiss, Ron Massachusetts Institute of Technology. Department of Biological Engineering AI MIT Artificial Intelligence biological computing scellular computing nanotechnology amorphous computings Amorphous computing is the development of organizational principles and programming languages for obtaining coherent behaviors from the cooperation of myriads of unreliable parts that are interconnected in unknown, irregular, and time-varying ways. The impetus for amorphous computing comes from developments in microfabrication and fundamental biology, each of which is the basis of a kernel technology that makes it possible to build or grow huge numbers of almost-identical information-processing units at almost no cost. This paper sets out a research agenda for realizing the potential of amorphous computing and surveys some initial progress, both in programming and in fabrication. We describe some approaches to programming amorphous systems, which are inspired by metaphors from biology and physics. We also present the basic ideas of cellular computing, an approach to constructing digital-logic circuits within living cells by representing logic levels by concentrations DNA-binding proteins. 2004-10-04T14:15:23Z 2004-10-04T14:15:23Z 1999-08-29 AIM-1665 http://hdl.handle.net/1721.1/5929 en_US AIM-1665 20 p. 16128599 bytes 3094080 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | AI MIT Artificial Intelligence biological computing scellular computing nanotechnology amorphous computings Abelson, Harold Allen, Don Coore, Daniel Hanson, Chris Homsy, George Knight, Thomas F., Jr. Nagpal, Radhika Rauch, Erik Sussman, Gerald Jay Weiss, Ron Amorphous Computing |
| title | Amorphous Computing |
| title_full | Amorphous Computing |
| title_fullStr | Amorphous Computing |
| title_full_unstemmed | Amorphous Computing |
| title_short | Amorphous Computing |
| title_sort | amorphous computing |
| topic | AI MIT Artificial Intelligence biological computing scellular computing nanotechnology amorphous computings |
| url | http://hdl.handle.net/1721.1/5929 |
| work_keys_str_mv | AT abelsonharold amorphouscomputing AT allendon amorphouscomputing AT cooredaniel amorphouscomputing AT hansonchris amorphouscomputing AT homsygeorge amorphouscomputing AT knightthomasfjr amorphouscomputing AT nagpalradhika amorphouscomputing AT raucherik amorphouscomputing AT sussmangeraldjay amorphouscomputing AT weissron amorphouscomputing |