The Comparison Of Artificial Intelligence To Biological Life


The Comparison Of Artificial Intelligence To Biological Life
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The Comparison Of Artificial Intelligence To Biological Life


The Comparison Of Artificial Intelligence To Biological Life
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Author : Ian Beardsley
language : en
Publisher: Lulu.com
Release Date : 2018-07-06

The Comparison Of Artificial Intelligence To Biological Life written by Ian Beardsley and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-06 with Technology & Engineering categories.


A comparison of artificial intelligence to biological life reveals structure in both.



Steady States


Steady States
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Author : Ian Beardsley
language : en
Publisher: Lulu.com
Release Date : 2018-07-15

Steady States written by Ian Beardsley and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-15 with Technology & Engineering categories.


In my book The Comparison of Artificial Intelligence to Biological Life, I put forward my findings of how biological life has come into existence in such a way that it parallels the materials from which we make artificial intelligence, like computers and robots. In particular interest pertaining to this is the section in that book about the Miller-Urey Experiment, which is theory in biological evolution, and how it is connected with artificial intelligence. This book touches on subjects the author needs to clarify in order to solve this mystery.



Artificial Intelligence And Biological Life


Artificial Intelligence And Biological Life
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Author : Ian Beardsley
language : en
Publisher: Lulu.com
Release Date : 2019-01-12

Artificial Intelligence And Biological Life written by Ian Beardsley and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-12 with Education categories.


The author presents his theory that biological life has a dynamic connection to artificial intelligence and that from this we might be able to figure out the origins of biological life. The theory is presented with several different starting points or premises, so it becomes a study in logical systems as well.



Artificial Intelligence Biological Life And Evolution


Artificial Intelligence Biological Life And Evolution
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Author : Ian Beardsley
language : en
Publisher:
Release Date : 2019-04-13

Artificial Intelligence Biological Life And Evolution written by Ian Beardsley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-13 with categories.


This marks the completion of a study in the connection of artificial intelligence to biological life.



The Equivalence Of Artificial Intelligence To Biological Life


The Equivalence Of Artificial Intelligence To Biological Life
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Author : Ian Beardsley
language : en
Publisher:
Release Date : 2019-09

The Equivalence Of Artificial Intelligence To Biological Life written by Ian Beardsley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09 with categories.


The equivalence between artificial intelligence and biological life is striking. The hope is to understand biological life in particular its origins by looking at something we understand, artificial intelligence. The connection, whether looking at amino acids, DNA, bone, or sex hormones, the connection is usually through the golden ratio, or its conjugate. This stands to reason, as the value is part and parcel to functional structure.



Artificial Life


Artificial Life
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Author : Christopher G. Langton
language : en
Publisher: MIT Press
Release Date : 1997

Artificial Life written by Christopher G. Langton and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


This book brings together a series of overview articles that appeared in the first three issues of the groundbreaking journal Artificial Life.



The Biology Of Computer Life


The Biology Of Computer Life
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Author : SIMONS
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

The Biology Of Computer Life written by SIMONS and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


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.



Advances In Artificial Life


Advances In Artificial Life
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Author : Dario Floreano
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-23

Advances In Artificial Life written by Dario Floreano and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-23 with Computers categories.


No matter what your perspective is, what your goals are, or how experienced you are, Artificial Life research is always a learning experience. The variety of phe nomena that the people who gathered in Lausanne reported and discussed for the fifth time since 1991 at the European Conference on Artificial Life (ECAL) has not been programmed, crafted, or assembled by analytic design. It has evolved, emerged, or appeared spontaneously from a process of artificial evolution, se- organisation, or development. Artificial Life is a field where biological and artificial sciences meet and blend together, where the dynamics of biological life are reproduced in the memory of computers, where machines evolve, behave, and communicate like living organ isms, where complex life-like entities are synthesised from electronic chromo somes and artificial chemistries. The impact of Artificial Life in science, phi losophy, and technology is tremendous. Over the years the synthetic approach has established itself as a powerful method for investigating several complex phenomena of life. From a philosophical standpoint, the notion of life and of in telligence is continuously reformulated in relation to the dynamics of the system under observation and to the embedding environment, no longer a privilege of carbon-based entities with brains and eyes. At the same time, the possibility of engineering machines and software with life-like properties such as evolvability, self-repair, and self-maintainance is gradually becoming reality, bringing new perspectives in engineering and applications.



The Garden In The Machine


The Garden In The Machine
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Author : Claus Emmeche
language : en
Publisher: Princeton University Press
Release Date : 2021-02-09

The Garden In The Machine written by Claus Emmeche and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-09 with Science categories.


What is life? Is it just the biologically familiar--birds, trees, snails, people--or is it an infinitely complex set of patterns that a computer could simulate? What role does intelligence play in separating the organic from the inorganic, the living from the inert? Does life evolve along a predestined path, or does it suddenly emerge from what appeared lifeless and programmatic? In this easily accessible and wide-ranging survey, Claus Emmeche outlines many of the challenges and controversies involved in the dynamic and curious science of artificial life. Emmeche describes the work being done by an international network of biologists, computer scientists, and physicists who are using computers to study life as it could be, or as it might evolve under conditions different from those on earth. Many artificial-life researchers believe that they can create new life in the computer by simulating the processes observed in traditional, biological life-forms. The flight of a flock of birds, for example, can be reproduced faithfully and in all its complexity by a relatively simple computer program that is designed to generate electronic "boids." Are these "boids" then alive? The central problem, Emmeche notes, lies in defining the salient differences between biological life and computer simulations of its processes. And yet, if we can breathe life into a computer, what might this mean for our other assumptions about what it means to be alive? The Garden in the Machine touches on every aspect of this complex and rapidly developing discipline, including its connections to artificial intelligence, chaos theory, computational theory, and studies of emergence. Drawing on the most current work in the field, this book is a major overview of artificial life. Professionals and nonscientists alike will find it an invaluable guide to concepts and technologies that may forever change our definition of life.



Artificial Intelligence Methods And Tools For Systems Biology


Artificial Intelligence Methods And Tools For Systems Biology
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Author : W. Dubitzky
language : en
Publisher: Springer
Release Date : 2005-02-07

Artificial Intelligence Methods And Tools For Systems Biology written by W. Dubitzky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-07 with Science categories.


This book provides simultaneously a design blueprint, user guide, research agenda, and communication platform for current and future developments in artificial intelligence (AI) approaches to systems biology. It places an emphasis on the molecular dimension of life phenomena and in one chapter on anatomical and functional modeling of the brain. As design blueprint, the book is intended for scientists and other professionals tasked with developing and using AI technologies in the context of life sciences research. As a user guide, this volume addresses the requirements of researchers to gain a basic understanding of key AI methodologies for life sciences research. Its emphasis is not on an intricate mathematical treatment of the presented AI methodologies. Instead, it aims at providing the users with a clear understanding and practical know-how of the methods. As a research agenda, the book is intended for computer and life science students, teachers, researchers, and managers who want to understand the state of the art of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. Our aim was to maintain the readability and accessibility of a textbook throughout the chapters, rather than compiling a mere reference manual. The book is also intended as a communication platform seeking to bride the cultural and technological gap among key systems biology disciplines. To support this function, contributors have adopted a terminology and approach that appeal to audiences from different backgrounds.