Published by Springer Verlag, New York, NY, 2006
ISBN 10: 1402050283 ISBN 13: 9781402050282
Language: English
Cloth. Condition: Very Good. 211 pp. Tightly bound. Corners not bumped. Note: The word "USED" is neatly stamped on top fore-edge. Text is Free of Markings.
Published by Springer, New York, NY, 2006
ISBN 10: 1402050283 ISBN 13: 9781402050282
Language: English
Hardcover. Condition: Very Good. 211 pp. Tightly bound. Top corner back board lightly bumped. Text is free of markings. No ownership markings. Published without a dust jacket. Printed boards. NOTE: The word "USED" is neatly stamped on the top fore-edge.
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:0817635041.
Published by Springer-Verlag New York Inc., New York, 2012
ISBN 10: 1468467867 ISBN 13: 9781468467864
Language: English
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Paperback. Condition: new. Paperback. This volume contains the proceedings of the U.S. Australia workshop on Complex Interconnected Biological Systems held in Albany, Western Australia January 1-5, 1989. The workshop was jointly sponsored by the Department of Industry, Trade and Commerce (Australia), and the Na tional Science Foundation (USA) under the US-Australia agreement. Biological systems are typically hard to study mathematically. This is particularly so in the case of systems with strong interconnections, such as ecosystems or networks of neurons. In the past few years there have been substantial improvements in the mathematical tools available for study ing complexity. Theoretical advances include substantially improved un derstanding of the features of nonlinear systems that lead to important behaviour patterns such as chaos. Practical advances include improved modelling techniques, and deeper understanding of complexity indicators such as fractal dimension. Game theory is now playing an increasingly important role in under standing and describing evolutionary processes in interconnected systems. The strategies of individuals which affect each other's fitness may be incor porated into models as parameters. Strategies which have the property of evolutionary stabilty result from particular parameter values which may be the main feature of living determined using game theoretic methods. Since systems is that they evolve, it seems appropriate that any model used to describe such systems should have this feature as well. Evolutionary game theory should lead the way in the development of such methods. This volume contains the proceedings of the U.S. Australia workshop on Complex Interconnected Biological Systems held in Albany, Western Australia January 1-5, 1989. Since systems is that they evolve, it seems appropriate that any model used to describe such systems should have this feature as well. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Boston , Basel , Berlin : Birkhäuser, c 1990., 1990
ISBN 10: 3764335041 ISBN 13: 9783764335045
Language: German
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Add to basket8°, Oppbd., XII, 332 S. ehem. Bibliotheksexpl., Rückensignatur, Bibliotheksstempel innen, ansonsten neuwertiger Zustand; Ex.-Library, very good condition 3764335041 Mit offener Rechnung beliefern wir gerne Buchhandlungen, Bibliotheken, Antiquariate, Schulen, Galerien und Institutionen. Bei neuen uns noch unbekannten privaten Kunden erlauben wir uns die Bitte um Vorauskasse. Wir bitten um Ihr Verständnis. Sprache: Deutsch Gewicht in Gramm: 650.
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Add to basketCondition: New. pp. 228 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Published by Springer-Verlag New York Inc., New York, NY, 2006
ISBN 10: 1402050283 ISBN 13: 9781402050282
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This volume comprises the proceedings of a NATO Advanced Study Institute (ASI) held at Geilo, Norway, 11-21 April 2005, the eighteenth ASI in a series held every two years since 1971. The objective of this ASI was to identify and discuss areas where synergism between modern physics and biology may be most fruitfully applied to the study of bioprocesses for molecular recognition, and of networks for converting molecular reactions into usable signals and appropriate responses. Many fields of research are confronted with networks. Genetic and metabolic networks describe how proteins, substrates and genes interact in a cell; social networks quantify the interactions between people in the society; the Internet is a complex web of computers; ecological systems are best described as a web of species. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures, a property that is rooted in their inhomogeneous topology. Understanding these phenomena and turning them to use in chemical and biological threat detection and response will require exploring a wide range of network structures as well. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures, a property that is rooted in their inhomogeneous topology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Springer-Verlag New York Inc., New York, NY, 2006
ISBN 10: 1402050291 ISBN 13: 9781402050299
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
First Edition
Paperback. Condition: new. Paperback. This volume comprises the proceedings of a NATO Advanced Study Institute (ASI) held at Geilo, Norway, 11-21 April 2005, the eighteenth ASI in a series held every two years since 1971. The objective of this ASI was to identify and discuss areas where synergism between modern physics and biology may be most fruitfully applied to the study of bioprocesses for molecular recognition, and of networks for converting molecular reactions into usable signals and appropriate responses. Many fields of research are confronted with networks. Genetic and metabolic networks describe how proteins, substrates and genes interact in a cell; social networks quantify the interactions between people in the society; the Internet is a complex web of computers; ecological systems are best described as a web of species. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures, a property that is rooted in their inhomogeneous topology. Understanding these phenomena and turning them to use in chemical and biological threat detection and response will require exploring a wide range of network structures as well. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures, a property that is rooted in their inhomogeneous topology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume contains the proceedings of the U.S. Australia workshop on Complex Interconnected Biological Systems held in Albany, Western Australia January 1-5, 1989. The workshop was jointly sponsored by the Department of Industry, Trade and Commerce (Australia), and the Na tional Science Foundation (USA) under the US-Australia agreement. Biological systems are typically hard to study mathematically. This is particularly so in the case of systems with strong interconnections, such as ecosystems or networks of neurons. In the past few years there have been substantial improvements in the mathematical tools available for study ing complexity. Theoretical advances include substantially improved un derstanding of the features of nonlinear systems that lead to important behaviour patterns such as chaos. Practical advances include improved modelling techniques, and deeper understanding of complexity indicators such as fractal dimension. Game theory is now playing an increasingly important role in under standing and describing evolutionary processes in interconnected systems. The strategies of individuals which affect each other's fitness may be incor porated into models as parameters. Strategies which have the property of evolutionary stabilty result from particular parameter values which may be the main feature of living determined using game theoretic methods. Since systems is that they evolve, it seems appropriate that any model used to describe such systems should have this feature as well. Evolutionary game theory should lead the way in the development of such methods.
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