Publicado por CreateSpace Independent Publishing Platform, 2013
ISBN 10: 1484140249 ISBN 13: 9781484140246
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Publicado por CreateSpace Independent Publishing Platform, 2013
ISBN 10: 1484140249 ISBN 13: 9781484140246
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por CreateSpace Independent Publishing Platform, 2013
ISBN 10: 1484140249 ISBN 13: 9781484140246
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por CreateSpace Independent Publishing Platform, 2013
ISBN 10: 1484140249 ISBN 13: 9781484140246
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 43,12
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Publicado por Princeton University Press, 2020
ISBN 10: 0691195285 ISBN 13: 9780691195285
Idioma: Inglés
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Publicado por Princeton University Press, US, 2020
ISBN 10: 0691195285 ISBN 13: 9780691195285
Idioma: Inglés
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 47,79
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Añadir al carritoPaperback. Condición: New. Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible.Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good-not optimal-decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.
Publicado por Princeton University Press, 2020
ISBN 10: 0691195285 ISBN 13: 9780691195285
Idioma: Inglés
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 45,37
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Publicado por Princeton University Press, 2020
ISBN 10: 0691195285 ISBN 13: 9780691195285
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Publicado por Princeton University Press, 2020
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Publicado por Princeton University Press, 2020
ISBN 10: 0691195285 ISBN 13: 9780691195285
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 173 pages. 9.25x6.25x0.50 inches. In Stock.
Publicado por Princeton University Press, US, 2020
ISBN 10: 0691195285 ISBN 13: 9780691195285
Idioma: Inglés
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 49,48
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Añadir al carritoPaperback. Condición: New. Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible.Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good-not optimal-decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.
Publicado por Princeton University Press, 2020
ISBN 10: 0691195285 ISBN 13: 9780691195285
Idioma: Inglés
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Über den AutorSteven F. Railsback is adjunct professor of mathematics at Humboldt State University and a consulting ecologist. His books include Individual-based Modeling and Ecology and Agent-Based and Individual-B.
Publicado por Princeton University Press, 2020
ISBN 10: 0691180490 ISBN 13: 9780691180496
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 128,31
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Publicado por Princeton University Press, 2020
ISBN 10: 0691180490 ISBN 13: 9780691180496
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 128,31
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Publicado por Princeton University Press, 2020
ISBN 10: 0691180490 ISBN 13: 9780691180496
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Publicado por Princeton University Press, 2020
ISBN 10: 0691180490 ISBN 13: 9780691180496
Idioma: Inglés
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 144,58
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Añadir al carritoHardback. Condición: New. Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible.Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good-not optimal-decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.
Publicado por Princeton University Press, 2020
ISBN 10: 0691180490 ISBN 13: 9780691180496
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 133,00
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Publicado por Princeton University Press, 2020
ISBN 10: 0691180490 ISBN 13: 9780691180496
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Princeton University Press, 2020
ISBN 10: 0691180490 ISBN 13: 9780691180496
Idioma: Inglés
Librería: moluna, Greven, Alemania
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Añadir al carritoEinband - fest (Hardcover). Condición: New.
Publicado por Princeton University Press, US, 2020
ISBN 10: 0691180490 ISBN 13: 9780691180496
Idioma: Inglés
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 149,29
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Añadir al carritoHardback. Condición: New. Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible.Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good-not optimal-decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 216 pages. 9.50x6.25x0.75 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 173 pages. 9.25x6.25x0.50 inches. In Stock. This item is printed on demand.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 216 pages. 9.50x6.25x0.75 inches. In Stock. This item is printed on demand.