Evolution And Learning

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Evolution Of The Learning Brain

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Author : Paul Howard-Jones
language : en
Publisher: Routledge
Release Date : 2018-01-19

Evolution Of The Learning Brain written by Paul Howard-Jones and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-19 with Education categories.

How does learning transform us biologically? What learning processes do we share with bacteria, jellyfish and monkeys? Is technology impacting on our evolution and what might the future hold for the learning brain? These are just some of the questions Paul Howard-Jones explores on a fascinating journey through 3.5 billion years of brain evolution, and discovers what it all means for how we learn today. Along the way, we discover how the E. coli in our stomachs learn to find food why a little nap can help bees find their way home the many ways that action, emotion and social interaction have shaped our ability to learn the central role of learning in our rise to top predator. An accessible writing style and numerous illustrations make Evolution of the Learning Brain an enthralling combination of biology, neuroscience and educational insight. Howard-Jones provides a fresh perspective on the nature of human learning that is exhaustively researched, exploring the implications of our most distant past for twenty-first-century education.

Evolution Challenges

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Author : Karl S. Rosengren
language : en
Publisher: OUP USA
Release Date : 2012-04-25

Evolution Challenges written by Karl S. Rosengren and has been published by OUP USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-25 with Education categories.

This book goes beyond the science versus religion dispute to ask why evolution is so often rejected as a legitimate scientific fact, focusing on a wide range of cognitive, socio-cultural, and motivational factors that make concepts such as evolution difficult to grasp.

Evolution Of Learning And Memory Mechanisms

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Author : Mark A. Krause
language : en
Publisher: Cambridge University Press
Release Date : 2022-04-30

Evolution Of Learning And Memory Mechanisms written by Mark A. Krause and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-30 with Psychology categories.

Evolution of Learning and Memory Mechanisms is an exploration of laboratory and field research on the many ways that evolution has influenced learning and memory processes, such as associative learning, social learning, and spatial, working, and episodic memory systems. This volume features research by both outstanding early-career scientists as well as familiar luminaries in the field. Learning and memory in a broad range of animals are explored, including numerous species of invertebrates (insects, worms, sea hares), as well as fish, amphibians, birds, rodents, bears, and human and nonhuman primates. Contributors discuss how the behavioral, cognitive, and neural mechanisms underlying learning and memory have been influenced by evolutionary pressures. They also draw connections between learning and memory and the specific selective factors that shaped their evolution. Evolution of Learning and Memory Mechanisms should be a valuable resource for those working in the areas of experimental and comparative psychology, comparative cognition, brain-behavior evolution, and animal behavior.

Evolution Education Re Considered

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Author : Ute Harms
language : en
Publisher: Springer
Release Date : 2019-07-16

Evolution Education Re Considered written by Ute Harms and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-16 with Science categories.

This collection presents research-based interventions using existing knowledge to produce new pedagogies to teach evolution to learners more successfully, whether in schools or elsewhere. ‘Success’ here is measured as cognitive gains, as acceptance of evolution or an increased desire to continue to learn about it. Aside from introductory and concluding chapters by the editors, each chapter consists of a research-based intervention intended to enable evolution to be taught successfully; all these interventions have been researched and evaluated by the chapters’ authors and the findings are presented along with discussions of the implications. The result is an important compendium of studies from around the word conducted both inside and outside of school. The volume is unique and provides an essential reference point and platform for future work for the foreseeable future.

Evolution And Learning

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Author : Bruce H. Weber
language : en
Publisher: MIT Press
Release Date : 2003

Evolution And Learning written by Bruce H. Weber and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Education categories.

Essays on the contributions to historical and contemporary evolutionary theory of the Baldwin effect, which postulates the effects of learned behaviors on evolutionary change.

Evolution Learning And Cognition

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Author : Yee Chun Lee
language : en
Publisher: World Scientific
Release Date : 1988

Evolution Learning And Cognition written by Yee Chun Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Science categories.

This review volume represents the first attempt to provide a comprehensive overview of this exciting and rapidly evolving development. The book comprises specially commissioned articles by leading researchers in the areas of neural networks and connectionist systems, classifier systems, adaptive network systems, genetic algorithm, cellular automata, artificial immune systems, evolutionary genetics, cognitive science, optical computing, combinatorial optimization, and cybernetics.

Simulated Evolution And Learning

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Author : Xin Yao
language : en
Publisher: Springer-Verlag New York Incorporated
Release Date : 1997-08-06

Simulated Evolution And Learning written by Xin Yao and has been published by Springer-Verlag New York Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-06 with Computers categories.

This book constitutes the thoroughly refereed post-conference documentation of the First Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'96, held in Taejon, Korea, in November 1996. The 23 revised full papers were selected for inclusion in this book on the basis of 2 rounds of reviewing and improvements. Also included are invited papers by John L. Casti and Lawrence J. Fogel. The volume covers a wide range of current topics in simulated evolution and learning e.g. evolutionary optimization, evolutionary learning, artificial life, hybrid evolutionary fuzzy systems, evolutionary artificial neural networks, co-evolution, novel evolutionary approaches to computer tomography image reconstruction, power systems load flow control, and water flow control in cropped soils.

Resources In Education

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Author :
language : en
Publisher:
Release Date : 1982-10

Resources In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982-10 with Education categories.

Evolution Education Around The Globe

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Author : Hasan Deniz
language : en
Publisher: Springer
Release Date : 2018-06-21

Evolution Education Around The Globe written by Hasan Deniz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-21 with Science categories.

This edited book provides a global view on evolution education. It describes the state of evolution education in different countries that are representative of geographical regions around the globe such as Eastern Europe, Western Europe, North Africa, South Africa, North America, South America,Middle East, Far East, South East Asia, Australia, and New Zealand.Studies in evolution education literature can be divided into three main categories: (a) understanding the interrelationships among cognitive, affective, epistemological, and religious factors that are related to peoples’ views about evolution, (b) designing, implementing, evaluating evolution education curriculum that reflects contemporary evolution understanding, and (c) reducing antievolutionary attitudes. This volume systematically summarizes the evolution education literature across these three categories for each country or geographical region. The individual chapters thus include common elements that facilitate a cross-cultural meta-analysis. Written for a primarily academic audience, this book provides a much-needed common background for future evolution education research across the globe.

Evolutionary Learning Advances In Theories And Algorithms

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Author : Zhi-Hua Zhou
language : en
Publisher: Springer
Release Date : 2019-05-22

Evolutionary Learning Advances In Theories And Algorithms written by Zhi-Hua Zhou and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-22 with Computers categories.

Many machine learning tasks involve solving complex optimization problems, such as working on non-differentiable, non-continuous, and non-unique objective functions; in some cases it can prove difficult to even define an explicit objective function. Evolutionary learning applies evolutionary algorithms to address optimization problems in machine learning, and has yielded encouraging outcomes in many applications. However, due to the heuristic nature of evolutionary optimization, most outcomes to date have been empirical and lack theoretical support. This shortcoming has kept evolutionary learning from being well received in the machine learning community, which favors solid theoretical approaches. Recently there have been considerable efforts to address this issue. This book presents a range of those efforts, divided into four parts. Part I briefly introduces readers to evolutionary learning and provides some preliminaries, while Part II presents general theoretical tools for the analysis of running time and approximation performance in evolutionary algorithms. Based on these general tools, Part III presents a number of theoretical findings on major factors in evolutionary optimization, such as recombination, representation, inaccurate fitness evaluation, and population. In closing, Part IV addresses the development of evolutionary learning algorithms with provable theoretical guarantees for several representative tasks, in which evolutionary learning offers excellent performance.