MOLECULAR FUZZY INFERENCE ENGINES - Development of Chemical Systems to Process Fuzzy Logic at the Molecular Level

Pier Luigi Gentili

Abstract

Current Information Technology is pursuing a revolution in the design of computing machines: it is trying to pass from macroscopic processors miniaturized through top-down approaches, to microscopic processors made of single molecules assembled through bottom-up approaches. When computations are carried out by single atoms and molecules, quantum logic can be processed. It is difficult to devise a quantum computer due to the decoherent effects exerted by the surrounding environment. However, it is still possible to work out with molecules, by abandoning the lure of quantum logic and processing classical logic. Single molecules make binary computations, whereas ensembles of molecules can be used to implement either Boolean logic gates or Fuzzy inference engines. The behaviours of two chemical compounds after photo-excitation are described as examples of quantum systems whereby Fuzzy logic can be processed by exploiting the decoherent effects exerted by the surrounding microenvironment.

References

  1. Adlemann, L. M., 1994. Molecular Computation of solutions to combinatorial problems. In Science. 266, 1021-1024.
  2. Arkin, A., Ross, J., 1994. Computational Functions in Biochemical Reaction Networks. In Biophys. J. 67, 560-578.
  3. Bennet, C. H., DiVincenzo, D. P., 2000. Quantum information and computation. In Nature. 404, 247- 255.
  4. Deaton, R., Garzon, M., 2001. Fuzzy logic with biomolecules. In Soft Computing. 5, 2-9.
  5. Feynman, R. P., 1960. There's plenty of room at the bottom. In Eng. Sci. 23, 22-36.
  6. Gentili, P. L., Ortica, F., Romani, A., Favaro, G., 2007a. Effects of proximity on the relaxation dynamics of Flindersine and 6(5H)-Phenanthridinone. In J. Phys. Chem. A. 111, 193-200.
  7. Gentili, P. L., 2007b. Boolean and Fuzzy logic implemented at the molecular level. In Chem. Phys. 336, 64-73.
  8. Gentili, P. L., 2008a. Boolean and Fuzzy Logic Gates Based on the Interaction of Flindersine with Bovine Serum Albumin and Tryptophan. In J. Phys. Chem. A. 112, 11992-11997.
  9. Gentili, P. L., Ortica, F., Favaro, G., 2008b. Static and Dynamic Interaction of a Naturally Occurring Photochromic Molecule with Bovine Serum Albumin studied by UV-Visible Absorption and Fluorescence Spectroscopy. In J. Phys. Chem. B. 112, 16793-16801.
  10. Gentili, P. L., 2009. Fuzzy Logic in Molecular Computing. In Fuzzy Logic: Theory, Programming and Applications, Editor R. E. Vargas, Nova Science Publishers, Hauppauge, NY.
  11. Jurvetson, S. T., 2004. Transcending Moore's Law with Molecular Electronics and Nanotechnology. In Nanotech. L. and Business. 1, 70-90.
  12. Lim, E. C., 1986. Proximity Effect in Molecular Photophysics: Dynamical Consequences of PseudoJahn-Teller Interaction. In J. Phys. Chem.90, 6770- 6777.
  13. Plenio, M. B., Virmani, S., 2007. An introduction to entanglement measures. Quant. Inf. Comp. 7, 1-51.
  14. Schumacher, B., 1995. Quantum Coding. Phys. Rev. A. 51, 2738-2747.
  15. Siebrand, W., Zgierski, M. Z., 1980. Radiationless decay of vibronically coupled electronic states. In J. Chem. Phys. 72, 1641-1646.
  16. Szacilowski, K., 2008. Digital Information Processing in Molecular Systems. In Chem. Rev. 108, 3481-3548.
  17. Zadeh, L. A., 1994. Soft Computing and Fuzzy Logic. In IEEE Software. 11, 48-56.
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Paper Citation


in Harvard Style

Gentili P. (2011). MOLECULAR FUZZY INFERENCE ENGINES - Development of Chemical Systems to Process Fuzzy Logic at the Molecular Level . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 205-210. DOI: 10.5220/0003125102050210


in Bibtex Style

@conference{icaart11,
author={Pier Luigi Gentili},
title={MOLECULAR FUZZY INFERENCE ENGINES - Development of Chemical Systems to Process Fuzzy Logic at the Molecular Level},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={205-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003125102050210},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - MOLECULAR FUZZY INFERENCE ENGINES - Development of Chemical Systems to Process Fuzzy Logic at the Molecular Level
SN - 978-989-8425-40-9
AU - Gentili P.
PY - 2011
SP - 205
EP - 210
DO - 10.5220/0003125102050210