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Record Nr. |
UNINA9910456402603321 |
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Autore |
Doebeli Michael <1961-> |
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Titolo |
Adaptive diversification [[electronic resource] /] / Michael Doebeli |
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Pubbl/distr/stampa |
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Princeton, N.J., : Princeton University Press, 2011 |
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ISBN |
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1-283-15248-7 |
9786613152480 |
1-4008-3893-2 |
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Edizione |
[Course Book] |
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Descrizione fisica |
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1 online resource (346 p.) |
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Collana |
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Monographs in population biology ; ; 48 |
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Disciplina |
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Soggetti |
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Adaptation (Biology) - Mathematical models |
Biodiversity - Mathematical models |
Evolution (Biology) - Mathematical models |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front matter -- Contents -- Acknowledgments -- CHAPTER ONE. Introduction -- CHAPTER TWO. Evolutionary Branching in a Classical Model for Sympatric Speciation -- CHAPTER THREE. Adaptive Diversification Due to Resource Competition in Asexual Models -- CHAPTER FOUR. Adaptive Diversification Due to Resource Competition in Sexual Models -- CHAPTER FIVE. Adaptive Diversification Due to Predator-Prey Interactions -- CHAPTER SIX. Adaptive Diversification Due to Cooperative Interactions -- CHAPTER SEVEN. More Examples: Adaptive Diversification in Dispersal Rates, the Evolution of Anisogamy, and the Evolution of Trophic Preference -- CHAPTER EIGHT. Cultural Evolution: Adaptive Diversification in Language and Religion -- CHAPTER NINE. Adaptive Diversification and Speciation as Pattern Formation in Partial Differential Equation Models -- CHAPTER TEN. Experimental Evolution of Adaptive Diversification in Microbes -- APPENDIX. Basic Concepts in Adaptive Dynamics -- Bibliography -- Index |
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Sommario/riassunto |
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"Understanding the mechanisms driving biological diversity remains a central problem in ecology and evolutionary biology. Traditional explanations assume that differences in selection pressures lead to |
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different adaptations in geographically separated locations. This book takes a different approach and explores adaptive diversification--diversification rooted in ecological interactions and frequency-dependent selection. In any ecosystem, birth and death rates of individuals are affected by interactions with other individuals. What is an advantageous phenotype therefore depends on the phenotype of other individuals, and it may often be best to be ecologically different from the majority phenotype. Such rare-type advantage is a hallmark of frequency-dependent selection and opens the scope for processes of diversification that require ecological contact rather than geographical isolation. Michael Doebeli investigates adaptive diversification using the mathematical framework of adaptive dynamics. Evolutionary branching is a paradigmatic feature of adaptive dynamics that serves as a basic metaphor for adaptive diversification, and Doebeli explores the scope of evolutionary branching in many different ecological scenarios, including models of coevolution, cooperation, and cultural evolution. He also uses alternative modeling approaches. Stochastic, individual-based models are particularly useful for studying adaptive speciation in sexual populations, and partial differential equation models confirm the pervasiveness of adaptive diversification. Showing that frequency-dependent interactions are an important driver of biological diversity, Adaptive Diversification provides a comprehensive theoretical treatment of adaptive diversification"-- |
"Adaptive biological diversification occurs when frequency-dependent selection generates advantages for rare phenotypes and induces a split of an ancestral lineage into multiple descendant lineages. Using adaptive dynamics theory, individual-based simulations, and partial differential equation models, this book illustrates that adaptive diversification due to frequency-dependent ecological interaction is a theoretically ubiquitous phenomenon"-- |
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2. |
Record Nr. |
UNINA9910798411403321 |
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Autore |
Simanowski Roberto |
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Titolo |
Data love : the seduction and betrayal of digital technologies / / Roberto Simanowski |
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Pubbl/distr/stampa |
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New York : , : Columbia University Press, , 2016 |
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©2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (177 p.) |
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Classificazione |
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Altri autori (Persone) |
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CayleyJohn |
PichonBrigitte |
RudnytskyDorian |
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Disciplina |
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Soggetti |
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Internet - Social aspects |
Internet - Moral and ethical aspects |
Digital communications - Social aspects |
Privacy, Right of |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Frontmatter -- Contents -- Preface -- Part I. Beyond the NSA Debate -- 1. Intelligence Agency Logic -- 2. Double Indifference -- 3. Self-Tracking and Smart Things -- 4. Ecological Data Disaster -- 5. Cold Civil War -- Part II. Paradigm Change -- 6. Data-Mining Business -- 7. Social Engineers Without a Cause -- 8. Silent Revolution -- 9. Algorithms -- 10. Absence of Theory -- Part III. The Joy of Numbers -- 11. Compulsive Measuring -- 12. The Phenomenology of the Numerable -- 13. Digital Humanities -- 14. Lessing's Rejoinder -- Part IV. Resistances -- 15. God's Eye -- 16. Data Hacks -- 17. On the Right Life in the Wrong One -- Epilogue -- Postface -- Notes -- Index |
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Sommario/riassunto |
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Intelligence services, government administrations, businesses, and a growing majority of the population are hooked on the idea that big data can reveal patterns and correlations in everyday life. Initiated by software engineers and carried out through algorithms, the mining of big data has sparked a silent revolution. But algorithmic analysis and data mining are not simply byproducts of media development or the logical consequences of computation. They are the radicalization of the |
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Enlightenment's quest for knowledge and progress. Data Love argues that the "cold civil war" of big data is taking place not among citizens or between the citizen and government but within each of us.Roberto Simanowski elaborates on the changes data love has brought to the human condition while exploring the entanglements of those who-out of stinginess, convenience, ignorance, narcissism, or passion-contribute to the amassing of ever more data about their lives, leading to the statistical evaluation and individual profiling of their selves. Writing from a philosophical standpoint, Simanowski illustrates the social implications of technological development and retrieves the concepts, events, and cultural artifacts of past centuries to help decode the programming of our present. |
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