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Cellular Automata Applications Provide Solutions to Biological Phenomena

By IGI Global Scientific Publishing on Jun 29, 2010
An international research team made up of scientists from the United States and Japan has created a molecular computer enabling it to think and react in a manner similar to the human brain. Just as brain cells cooperate concurrently, the computer uses the cellular automata of the molecules, interacting with each other, to form new patterns, as data is entered through the use of a scanning tunneling microscope. Further separating it from other computing systems, the molecules of this computer can rebuild and heal themselves through the continuous reorganization.

The researchers are hopeful that the molecular computing can assist future studies of cancer growth and heat diffusion. The unique capabilities of this computer also encourage never-before-possible analysis of "intractable problems that are considered impossible to finish within a finite time," said researcher Anirban Bandyopadhyay, a physicist at the Japanese National Institute for Materials Science in Tsukuba, Japan.

"This is brain-like computing," commented scientist Ranjit Pati, a researcher from Michigan Technological University, USA. The research team is still exploring options to provide the computer with faster data manipulation to create more complex working systems ( www.msnbc.msn.com/id/36788441/ns/technology_and_science-innovation/).

Delving deeper into the intricacies of cellular automata and its potential for research, Dr. Eleonora Bilotta, and Dr. Pietro Pantano, both professors from the University of Calabria, Italy, along with IGI Global release, "Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena." This reference presents the uses of cellular automata to provide important insights into a vast range of physical, biological, social, economic and psychological phenomena.



"The ultimate goal is to eliminate some of the intrinsic complexity of biological systems, and find what this complexity hides: general laws of self-organization common to a wide range of natural phenomena."

-Dr. Elenora Bilotta and Dr. Pietro Pantano, editors


The book explores one-dimensional and two-dimensional cellular automata, artificial self-reproducing systems, such as the molecular computers referenced above, as well as animals and virtual worlds created by using self-reproducers.

"The authors present new techniques relevant to many important areas of CA research. All told, I find this book to be most timely and challenging. Its high level of exposition should appeal to a broad readership," comments reviewer Dr. Leon Chua, Electrical Engineering and Computer Sciences Professor at the University of California, Berkeley, "It is a gem to behold and contemplate."

Cellular Automata and Complex Systems

To learn more, please visit www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=37350.

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