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Author: Wolfgang Banzhaf
Publisher: MIT Press
ISBN: 0262551527
Category : Science
Languages : en
Pages : 572
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Book Description
An introduction to the fundamental concepts of the emerging field of Artificial Chemistries, covering both theory and practical applications. The field of Artificial Life (ALife) is now firmly established in the scientific world, but it has yet to achieve one of its original goals: an understanding of the emergence of life on Earth. The new field of Artificial Chemistries draws from chemistry, biology, computer science, mathematics, and other disciplines to work toward that goal. For if, as it has been argued, life emerged from primitive, prebiotic forms of self-organization, then studying models of chemical reaction systems could bring ALife closer to understanding the origins of life. In Artificial Chemistries (ACs), the emphasis is on creating new interactions rather than new materials. The results can be found both in the virtual world, in certain multiagent systems, and in the physical world, in new (artificial) reaction systems. This book offers an introduction to the fundamental concepts of ACs, covering both theory and practical applications. After a general overview of the field and its methodology, the book reviews important aspects of biology, including basic mechanisms of evolution; discusses examples of ACs drawn from the literature; considers fundamental questions of how order can emerge, emphasizing the concept of chemical organization (a closed and self-maintaining set of chemicals); and surveys a range of applications, which include computing, systems modeling in biology, and synthetic life. An appendix provides a Python toolkit for implementing ACs.
Author: Wolfgang Banzhaf
Publisher: MIT Press
ISBN: 0262551527
Category : Science
Languages : en
Pages : 572
Get Book Here
Book Description
An introduction to the fundamental concepts of the emerging field of Artificial Chemistries, covering both theory and practical applications. The field of Artificial Life (ALife) is now firmly established in the scientific world, but it has yet to achieve one of its original goals: an understanding of the emergence of life on Earth. The new field of Artificial Chemistries draws from chemistry, biology, computer science, mathematics, and other disciplines to work toward that goal. For if, as it has been argued, life emerged from primitive, prebiotic forms of self-organization, then studying models of chemical reaction systems could bring ALife closer to understanding the origins of life. In Artificial Chemistries (ACs), the emphasis is on creating new interactions rather than new materials. The results can be found both in the virtual world, in certain multiagent systems, and in the physical world, in new (artificial) reaction systems. This book offers an introduction to the fundamental concepts of ACs, covering both theory and practical applications. After a general overview of the field and its methodology, the book reviews important aspects of biology, including basic mechanisms of evolution; discusses examples of ACs drawn from the literature; considers fundamental questions of how order can emerge, emphasizing the concept of chemical organization (a closed and self-maintaining set of chemicals); and surveys a range of applications, which include computing, systems modeling in biology, and synthetic life. An appendix provides a Python toolkit for implementing ACs.
Author: Takashiro Akitsu
Publisher: Elsevier
ISBN: 0128232722
Category : Science
Languages : en
Pages : 280
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Book Description
Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and current developments in the field, giving readers insight into how these tools can be harnessed to enhance their own work. Offering the ability to process large or complex data-sets, compare molecular characteristics and behaviors, and help researchers design or identify new structures, Artificial Intelligence (AI) holds huge potential to revolutionize the future of chemistry. Volume 1 explores the fundamental knowledge and current methods being used to apply AI across a whole host of chemistry applications. Drawing on the knowledge of its expert team of global contributors, the book offers fascinating insight into this rapidly developing field and serves as a great resource for all those interested in exploring the opportunities afforded by the intersection of chemistry and AI in their own work. Part 1 provides foundational information on AI in chemistry, with an introduction to the field and guidance on database usage and statistical analysis to help support newcomers to the field. Part 2 then goes on to discuss approaches currently used to address problems in broad areas such as computational and theoretical chemistry; materials, synthetic and medicinal chemistry; crystallography, analytical chemistry, and spectroscopy. Finally, potential future trends in the field are discussed. - Provides an accessible introduction to the current state and future possibilities for AI in chemistry - Explores how computational chemistry methods and approaches can both enhance and be enhanced by AI - Highlights the interdisciplinary and broad applicability of AI tools across a wide range of chemistry fields
Author: Martin Egli
Publisher: Wiley-VCH
ISBN: 9783906390673
Category : Science
Languages : en
Pages : 0
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Book Description
This is the first book to provide a comprehensive overview of the field of artificial nucleic acids. Covering a tremendous amount of literature on the chemistry, biology, and structure of artificial nucleic acids, it will constitute an invaluable source of information for the specialist and for young researchers interested in starting a career in this fascinating field of research alike. This book combines the contributions of many of the major players in this research field, and covers the synthesis of sugar-, base- and backbone-modified nucleic acids, their structural characteristics studied by X-ray crystallography, and NMR in solution as well as their chemical and biological properties.
Author: Emma Hart
Publisher: Springer Science & Business Media
ISBN: 3642145469
Category : Computers
Languages : en
Pages : 340
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Book Description
This book constitutes the refereed proceedings of the 9th International Conference on Artificial Immune Systems, ICARIS 2010, held in Edinburgh, UK, in July 2010. The 23 revised full papers and extended immune modeling abstracts presented together with 9 PerAda workshop position statements were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on immune system modeling; theoretical artificial immune systems; and applied artificial immune systems.
Author: Ruren Xu
Publisher: Elsevier
ISBN: 0444535993
Category : Science
Languages : en
Pages : 612
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Book Description
The contributors to this book discuss inorganic synthesis reactions, dealing with inorganic synthesis and preparative chemistry under specific conditions. They go on to describe the synthesis, preparation and assembly of six important categories of compounds with wide coverage of distinct synthetic chemistry systems
Author: Gheorghe Paeaun
Publisher: World Scientific
ISBN: 9812387838
Category : Computers
Languages : en
Pages : 1319
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Book Description
contents: vol 1 : Algorithms; Computational Complexity; Distributed Computing; Natural Computing.
Author: Gheorghe P?un
Publisher: World Scientific
ISBN: 9812562494
Category : Computers
Languages : en
Pages : 1319
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Book Description
This book is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science (EATCS) during the period 2000OCo2003. It presents many of the most active current research lines in theoretical computer science. The material appears in two volumes, OC Algorithms and ComplexityOCO and OC Formal Models and SemanticsOCO, reflecting the traditional division of the field. The list of contributors includes many of the well-known researchers in theoretical computer science. Most of the articles are reader-friendly and do not presuppose much knowledge of the area in question. Therefore, the book constitutes very suitable supplementary reading material for various courses and seminars in computer science. Contents: Vol 1: Algorithms; Computational Complexity; Distributed Computing; Natural Computing; Vol 2: Formal Specification; Logic in Computer Science; Concurrency; Formal Language Theory. Readership: Upper level undergraduates, graduate students and researchers in theoretical computer science and biocomputing."
Author: Grzegorz Rozenberg
Publisher: World Scientific
ISBN: 9814483052
Category : Computers
Languages : en
Pages : 1319
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Book Description
This book is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science (EATCS) during the period 2000-2003. It presents many of the most active current research lines in theoretical computer science. The material appears in two volumes, “Algorithms and Complexity” and “Formal Models and Semantics”, reflecting the traditional division of the field.The list of contributors includes many of the well-known researchers in theoretical computer science. Most of the articles are reader-friendly and do not presuppose much knowledge of the area in question. Therefore, the book constitutes very suitable supplementary reading material for various courses and seminars in computer science.
Author: Muriel Gargaud
Publisher: Springer Science & Business Media
ISBN: 3642112714
Category : Body, Mind & Spirit
Languages : en
Pages : 1890
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Book Description
Astrobiology is a remarkably interdisciplinary field. This reference serves as a key to understanding technical terms from the different subfields of astrobiology, including astronomy, biology, chemistry, the geosciences and the space sciences.
Author: Hugh Cartwright
Publisher: CRC Press
ISBN: 0849384141
Category : Science
Languages : en
Pages : 358
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Book Description
Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to
