Dennis Shasha
Abstract
The intersection of biology and computer science is pushing computation beyond its traditional limits---forget algorithms think evolution.
- Shasha, D., Lazere, C. Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines. W. W. Norton, 2010. Google Scholar
Digital Library
- Koza, J. R., Bennett III, F. H., Andre, D., Keane, M. A. Genetic Programming III---Darwinian Invention and Problem Solving. Morgan Kaufman, San Francisco, 1999. Google ScholarDigital Library
- Stoica, A., Zebulum, R., Keymeulen, D., Tawel, R. Daud. T., Thakoor, A. Reconfigurable VLSI architectures for evolvable hardware: From experimental field programmable transistor arrays to evolution-oriented chips. IEEE Transactions on Very Large Scale Integration Systems 9, 1 {2001}, 227--32. Google ScholarDigital Library
- Mason, L., Poston, D., Qualls, L. System concepts for affordable fission surface power. Paper presented at STAIF-2008, Space Technology and Applications International Forum {Albuquerque, NM, Feb. 2008}.Google Scholar
- Adleman, L. M. Computing with DNA. Scientific American 279, 2 {1998}, 54--61.Google Scholar
- Coleman, J. R., Papamichail, D., Skiena, S., Futcher, B., Wimmer, E., Mueller, S. Virus attenuation by genome-scale changes in codon pair bias. Science 320, 5884 {2008}, 1784--87.Google ScholarCross Ref
- Weiss, R., Knight Jr., T. F., Sussman, G. Genetic process engineering. In Cellular Computing, M. Amos {Ed}. Oxford University Press, 2004.Google Scholar
- Nagpal, R., Sussman, G. Robust engineering using biologically-inspired models of cell differentiation and morphogenesis; http://groups.csail.mit.edu/mac/projects/amorphous/Robust/Google Scholar
Index Terms
- Future of computing: inspiration from nature
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