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" Biological robustness : "
Marta Bertolaso, Silvia Caianiello, Emanuele Serrelli, editors.
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BL
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859405
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Biological robustness : : emerging perspectives from within the life sciences /\ Marta Bertolaso, Silvia Caianiello, Emanuele Serrelli, editors.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2018]
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| Series Statement
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History, philosophy and theory of the life sciences ;; volume 23
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1 online resource
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3030011984
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: 9783030011987
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3030011976
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9783030011970
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Includes bibliographical references and index.
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| Contents
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Intro; Foreword; Contents; Chapter 1: Introduction: Issues About Robustness in the Practice of Biological Sciences; 1.1 Biological Robustness; 1.1.1 Developmental Robustness; 1.1.2 Robustness and Biological Evolution; 1.2 The Book; 1.2.1 Robustness and Scientific Practice; 1.2.2 The Robustness of Living Beings; 1.2.3 Systems Biology and Robustness; 1.2.4 The Relevance of Engineering Principles; 1.2.5 Robustness, Time and the Environment; 1.3 Emerging Epistemological Perspectives from Within the Life Sciences; References; Chapter 2: Prolegomena to a History of Robustness
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2.1 Origin of the Modern Meaning2.2 Robustness and Control Theory; 2.2.1 From Nonlinear Stability Analysis to Robustness; 2.2.2 From Classical to Robust Control Theory; 2.3 Early Inceptions of Robustness in Biology: Organizing Vs Design Principles; 2.4 Robustness and Complexity; References; Chapter 3: Robustness, Mechanism, and the Counterfactual Attribution of Goals in Biology; 3.1 Introduction; 3.2 Robustness and Intersubjective Reproducibility; 3.3 Robustness and the Counterfactual Attribution of Goals in Biology; 3.4 Conclusion; References; Chapter 4: Multiple Realization and Robustness
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4.1 Introduction4.2 Multiple Realization and Causal Explanation; 4.2.1 Causal Explanatory Multiple Realization (CEMR); 4.3 Multiple Realization as Distributed Functional Robustness; 4.4 Kinds Reconsidered; 4.5 Conclusion; References; Chapter 5: Robustness: The Explanatory Picture; 5.1 Introduction; 5.2 Characterizing and Situating Robustness; 5.2.1 Sameness; 5.2.2 "Remain"; 5.2.3 Robustness Across Levels and Scales; 5.3 Three Families of Explanations of Robustness; 5.3.1 Mechanisms; 5.3.2 Topology and Mathematical Structures in General; 5.3.3 Normal Distributions
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5.4 Robustness as Explanandum in Evolutionary Biology, and the Explanatory Reversibility Proper to Evolutionary Biology5.4.1 Explanatory Reversibility: Robustness, Plasticity, Dominance; 5.4.2 Robustness as Explanans/Explanandum, Evolvability and Topological Explanations; 5.4.3 Summing Up; 5.5 Robustness and Other Reversible Explananda of Evolutionary Biology; 5.5.1 Robustness, Dominance and Plasticity: A Comparison; 5.5.2 Complexifying the Explanatory Cartography: Robustness, Modularity and Complexity; 5.6 Conclusion; References
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Chapter 6: Robustness and Autonomy in Biological Systems: How Regulatory Mechanisms Enable Functional Integration, Complexity and Minimal Cognition Through the Action of Second-Order Control Constraints6.1 Introduction; 6.2 Basic Concepts: Stability, Control and Signal in Autonomous Systems; 6.2.1 Control and Signal; 6.3 Biological Regulation; 6.4 Regulation at the Crossroads Between Identity, Complexity, and Cognition; 6.4.1 Functional Integration and Organizational Complexity; 6.4.2 Minimal Cognition; 6.5 Final Remarks; References
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| Abstract
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This volume reviews examples and notions of robustness at several levels of biological organization. It tackles many philosophical and conceptual issues and casts an outlook on the future challenges of robustness studies in the context of a practice-oriented philosophy of science. The focus of discussion is on concrete case studies. These highlight the necessity of a level-dependent description of robust biological behaviors. Experts from the neurosciences, biochemistry, ecology, biology, and the history and the philosophy of life sciences provide a multiplex perspective on the topic. Contributions span from protein folding, to cell-level robustness, to organismal and developmental robustness, to sensorimotor systems, up to the robustness of ecological systems. Several chapters detail neurobiological case-studies. The brain, the poster child of plasticity in biology, offers multiple examples of robustness. Neurobiology explores the importance of temporal organization and multiscalarity in making this robustness-with-plasticity possible. The discussion also includes structures well beyond the brain, such as muscles and the complex feedback loops involved in the peculiar robustness of music perception. Overall, the volume grounds general reflections upon concrete case studies, opening to all the life sciences but also to non-biological and bio-inspired fields such as post-modern engineering. It will appeal to researchers, students, as well as non-expert readers.
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Biological systems.
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Biotechnology.
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Genetic engineering.
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Life sciences.
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Biological systems.
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Biotechnology.
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Genetic engineering.
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Life sciences.
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SCIENCE-- Life Sciences-- Biochemistry.
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| Dewey Classification
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572.838
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| LC Classification
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TP248.2.B56 2018
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| Added Entry
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Bertolaso, Marta
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Caianiello, Silvia,1959-
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Serrelli, Emanuele
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