Amorphous computing
By H. Abelson, Don Allen, D. Coore, Chris Hanson, G. Homsy, Thomas F. Knight, R. Nagpal, Erik Rauch, Gerald J. Sussman, R. Weiss. Communications of the ACM, 2000
598 citations recorded by the source corpus.
Subfields: Condensed Matter Physics, Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/20254153bc0d3a5dcd7dec1f5ceb17109a7555d5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Condensed Matter Physics
- Michael Lewis
- Nilanjan Chakraborty
- Dana Hughes
- Andreas Kolling
- Nikolaus Correll
- Phillip M. Walker
- Katia P. Sycara
In Electrical and Electronic Engineering
- J. Stankovic
- Bhaskar Krishnamachari
- Jennifer C. Hou
- David E. Culler
- Deepak Ganesan
- Tarek F. Abdelzaher
- Friedemann Mattern
- Alec Woo
In Mechanical Engineering
- Deepak Ganesan
- Erol Sahin
- Michael Lewis
- Deborah Estrin
- Nilanjan Chakraborty
- Dana Hughes
- Bhaskar Krishnamachari
- Andreas Kolling
Citations in the corpus
- Post-compiler software optimization for reducing energy (2014, background): “As mentioned earlier, there is increasing willingness to trade guarantees of exact semantic preservation for other desired system properties [1, 2, 5, 6, 8, 39, 40, 50, 58, 59].”
- Engineering Self-Adaptive Systems through Feedback Loops (2009, background): “While some current work deals with building biologically inspired self-adapting software systems [40,41], even more work has gone into studying biological systems to inspire the design of software and hardware systems in robotics [1,42,43,44].”
- A Synthetic Genetic Edge Detection Program (2009, background): “This strategy is also an example of ‘‘Amorphous Computing’’ (Abelson et al., 2000) whereby a computation is performed as the emergent result of many spatially distributed processors working together locally without the need for global coordination.”
- Collaborative signal and information processing: an information-directed approach (2003, background): “for expressing and reasoning about geometries of physical data in distributed sensing and control applications; various biologically inspired computational models [1], [6] study how complex collaborative behaviors can be built from simple components.”
- Pheromone Robotics (2001, background): “Another area of related work is amorphous computing [1].”
- Human Interaction With Robot Swarms: A Survey (2016, background): “Amorphous computing [40] refers to the programming of many small computers distributed irregularly throughout some surface or volume, with no a priori knowledge of their location or neighbors [41].”
- Swarm Robotics: From Sources of Inspiration to Domains of Application (2004, background): “Amorphous computing, proposed by Abelson [19], sets its challenge as " How can pre-specified, coherent behavior be engineered from the cooperation of vast numbers of unreliable parts interconnected in unknown, and time-varying ways?”
- Advances in Computational Intelligence (2003, unknown): “For instance, amorphous computing [1], evolvable matter [130], nanocell [205], DNA [3] and bacteriorhodopsin [54] could be the examples we can imagine right now.”
- Complex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks (2002, background): “Laboratory studies have demonstrated nodes of a few cubic millimeters in volume, and we can certainly imagine many scenarios of computational fabrics, surfaces, and floating dust [5], [6].”