Biol. Computer Life
Author | : Geoffrey Leslie Simons |
Publisher | : Birkhäuser |
Total Pages | : 256 |
Release | : 1985 |
Genre | : Computers |
ISBN | : |
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Author | : Geoffrey Leslie Simons |
Publisher | : Birkhäuser |
Total Pages | : 256 |
Release | : 1985 |
Genre | : Computers |
ISBN | : |
Author | : SIMONS |
Publisher | : Springer Science & Business Media |
Total Pages | : 258 |
Release | : 2012-12-06 |
Genre | : Science |
ISBN | : 1468480502 |
The doctrine of computer life is not congenial to many people. Often they have not thought in any depth about the idea, and it necessarily disturbs their psychological and intellectual frame of reference: it forces a reappraisal of what it is to be alive, what it is to be human, and whether there are profound, yet un expected, implications in the development of modern com puters. There is abundant evidence to suggest that we are wit nessing the emergence of a vast new family of life-forms on earth, organisms that are not based on the familiar metabolic chemistries yet whose manifest 'life credentials' are accumulating year by year. It is a mistake to regard biology as a closed science, with arbitrarily limited categories; and we should agree with Jacob (1974) who observed that 'Contrary to what is imagined, biology is not a unified science'. Biology is essentially concerned with living things, and we should be reluctant to assume that at anyone time our concept and understanding of life are complete and incapable of further refinement. And it seems clear that much of the continuing refinement of biological categories will be stimulated by advances in systems theory, and in particular by those advances that relate to the rapidly expanding world of computing and robotics. We should also remember what Pant in (1968) said in a different context: 'the biological sciences are unrestricted . . . and their investigator must be prepared to follow their problems into any other science whatsoever.
Author | : Geoffrey Leslie Simons |
Publisher | : |
Total Pages | : 236 |
Release | : 1985 |
Genre | : Bionics |
ISBN | : 9780710811899 |
Author | : Panos M. Pardalos |
Publisher | : Springer Science & Business Media |
Total Pages | : 265 |
Release | : 2013-12-01 |
Genre | : Technology & Engineering |
ISBN | : 1461302595 |
In the quest to understand and model the healthy or sick human body, re searchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is pushing the envelope of a new field we call Biomedical Computing, as an exciting frontier among signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine. A conference on Biocomputing was held during February 25-27, 2001 at the University of Florida. The conference was sponsored by the Center for Applied Optimization, the Computational Neuroengineering Center, the Biomedical En gineering Program (through a Whitaker Foundation grant), the Brain Institute, the School of Engineering, and the University of Florida Research & Graduate Programs. The conference provided a forum for researchers to discuss and present new directions in Biocomputing. The well-attended three days event was highlighted by the presence of top researchers in the field who presented their work in Biocomputing. This volume contains a selective collection of ref ereed papers based on talks presented at this conference. You will find seminal contributions in genomics, global optimization, computational neuroscience, FMRI, brain dynamics, epileptic seizure prediction and cancer diagnostics. We would like to take the opportunity to thank the sponsors, the authors of the papers, the anonymous referees, and Kluwer Academic Publishers for making the conference successful and the publication of this volume possible. Panos M. Pardalos and Jose C.
Author | : Geoff Simons |
Publisher | : |
Total Pages | : 236 |
Release | : 1985 |
Genre | : |
ISBN | : 9780671449995 |
Author | : Geoffrey Leslie Simons |
Publisher | : Boston, [Mass.] : Birkhäuser |
Total Pages | : 230 |
Release | : 1983 |
Genre | : Artificial intelligence |
ISBN | : |
Today computers and robots are rapidly developing behavioral and intellectual skills - they acquire and manipulate knowledge, take creative initiative, modify their surrounds and more and more they are acting autonomously to achieve particular goals. Have the capabilities of intelligent machines advance the point where the contemplation of the computer as a life form is no longer exclusively the stuff of science fiction? Has fact overtaken fiction?....These are the questions which propel this high controversial and probing study of computers, their accomplishments and their potential, and their rapidly evolving forms. Drawing upon recent research cybernetics, artificial intelligence, robotics, biology and philosophy, the author presents a compelling case of the existence of computer life - an argument which forces us to reappraise our criterial for dining life and to consider anew what it is be human." -- back cover
Author | : P. J. Bentley |
Publisher | : Simon and Schuster |
Total Pages | : 286 |
Release | : 2001 |
Genre | : Computers |
ISBN | : 0743204476 |
A leading scientist's visionary work explains the next revolution in computers: following the principles of the biological universe, they will yield profound insights into the world of nature. "Digital Biology" takes readers on a groundbreaking and entertaining journey into a universe where nature is transforming technology, just on the other side of our computer screens.
Author | : William Siler |
Publisher | : Springer Science & Business Media |
Total Pages | : 250 |
Release | : 2013-11-11 |
Genre | : Science |
ISBN | : 1475705468 |
45 certainty about Federal policy concern the University of Alabama cardiac in ing the support of training contribute tensive care monitoring system on "ob to these difficulties. The problems are solete 1800 computers." Another re too broad and too complex to address sponded most efficaciously pointing out here. They are difficult for both aca that it is too bad that people lose sight of demia and government, and warrant the fact that a system on which a pro the active concern of the entire research gram is developed will always be able community. to do the job; change is not indicated Dr. Robert Macey introduced to the until the system ceases to be appropri ate. conference the exciting world of model development describing an application In another vein, the question opens to the area of membrane transport. The up a wide range of problems that can be discussion of his paper exposed the prob summarized as problems in the diffusion lern the modeler has of gaining ac of computer-based technology. At this ceptance of his particular approach, but juncture biomedical computing joins all mainly it provided a taste of the intellec the rest of biomedicine. The problems of tual excitement that modeling generates diffusion of advances in health research, among both doers and observers.
Author | : Nancy Forbes |
Publisher | : National Geographic Books |
Total Pages | : 0 |
Release | : 2005-09-23 |
Genre | : Science |
ISBN | : 0262562154 |
How scientists are using nature as model and metaphor to reinvent computing: a survey of an emerging field. As computers and the tasks they perform become increasingly complex, researchers are looking to nature—as model and as metaphor—for inspiration. The organization and behavior of biological organisms present scientists with an invitation to reinvent computing for the complex tasks of the future. In Imitation of Life, Nancy Forbes surveys the emerging field of biologically inspired computing, looking at some of the most impressive and influential examples of this fertile synergy. Forbes points out that the influence of biology on computing goes back to the early days of computer science—John von Neumann, the architect of the first digital computer, used the human brain as the model for his design. Inspired by von Neumann and other early visionaries, as well as by her work on the "Ultrascale Computing" project at the Defense Advanced Research Projects Agency (DARPA), Forbes describes the exciting potential of these revolutionary new technologies. She identifies three strains of biologically inspired computing: the use of biology as a metaphor or inspiration for the development of algorithms; the construction of information processing systems that use biological materials or are modeled on biological processes, or both; and the effort to understand how biological organisms "compute," or process information. Forbes then shows us how current researchers are using these approaches. In successive chapters, she looks at artificial neural networks; evolutionary and genetic algorithms, which search for the "fittest" among a generation of solutions; cellular automata; artificial life—not just a simulation, but "alive" in the internal ecosystem of the computer; DNA computation, which uses the encoding capability of DNA to devise algorithms; self-assembly and its potential use in nanotechnology; amorphous computing, modeled on the kind of cooperation seen in a colony of cells or a swarm of bees; computer immune systems; bio-hardware and how bioelectronics compares to silicon; and the "computational" properties of cells.
Author | : Steven Levy |
Publisher | : |
Total Pages | : 390 |
Release | : 1993 |
Genre | : Artificial intelligence |
ISBN | : 9780140231052 |
This book looks at artificial life science - A-Life, an important new area of scientific research involving the disciplines of microbiology, evolutionary theory, physics, chemistry and computer science. In the 1940s a mathematician named John von Neumann, a man with a claim to being the father of the modern computer, invented a hypothetical mathematical entity called a cellular automaton. His aim was to construct a machine that could reproduce itself. In the years since, with the development of hugely more sophisticated and complex computers, von Neumann's insights have gradually led to a point where scientists have created, within the wiring of these machines, something that so closely simulates life that it may, arguably, be called life. This machine reproduces itself, mutates, evolves through generations and dies.