[PDF] Evolution And Learning - eBooks Review

Evolution And Learning


Evolution And Learning
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Signals


Signals
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Author : Brian Skyrms
language : en
Publisher: Oxford University Press
Release Date : 2010-04-08

Signals written by Brian Skyrms and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-08 with Language Arts & Disciplines categories.


Brian Skyrms offers a fascinating demonstration of how fundamental signals are to our world. He uses various scientific tools to investigate how meaning and communication develop. Signals operate in networks of senders and receivers at all levels of life, transmitting and processing information. That is how humans and animals think and interact.



Recent Advances In Simulated Evolution And Learning


Recent Advances In Simulated Evolution And Learning
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Author : Kay Chen Tan
language : en
Publisher: World Scientific
Release Date : 2004-08-26

Recent Advances In Simulated Evolution And Learning written by Kay Chen Tan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-26 with Computers categories.


Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences



Self Directed Learning And The Academic Evolution From Pedagogy To Andragogy


Self Directed Learning And The Academic Evolution From Pedagogy To Andragogy
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Author : Hughes, Patrick
language : en
Publisher: IGI Global
Release Date : 2021-12-24

Self Directed Learning And The Academic Evolution From Pedagogy To Andragogy written by Hughes, Patrick and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-24 with Education categories.


Self-directed learning is a concept that has been in circulation for centuries, though the topic experiences lulls and surges as contemporary theories identify advantages or improvements to better align the topic with contemporary learning environments. Self-directed learning is an instructional strategy where students accept a leadership role in their own learning practice and an increasingly significant learning technique for undergraduate students performing in a technologically and globally advanced college arena. Self-Directed Learning and the Academic Evolution From Pedagogy to Andragogy is an essential reference book that supports a student shift from passive pedagogical learning to active andragogical exploration and specifically shift from seeking mastery of basic skills to recognizing and reassessing the structure of personal assumptions, expectations, feelings, and actions. It fills the gap between theory-laden academic books designed to help academic faculty incorporate self-directed learning activities into their courses and the self-help books designed to help motivate individuals to learn new skills. This book is designed to specifically empower college students to accept a leadership role in their academic journey. Covering topics such as self-directed learning, lifelong learning, educational leadership, and competency-based education, this book is a foundational resource for teachers, instructional designers, administrators, curriculum developers, academicians, researchers, and students.



Teaching About Evolution And The Nature Of Science


Teaching About Evolution And The Nature Of Science
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Author : National Academy of Sciences
language : en
Publisher: National Academies Press
Release Date : 1998-05-06

Teaching About Evolution And The Nature Of Science written by National Academy of Sciences and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-05-06 with Education categories.


Today many school students are shielded from one of the most important concepts in modern science: evolution. In engaging and conversational style, Teaching About Evolution and the Nature of Science provides a well-structured framework for understanding and teaching evolution. Written for teachers, parents, and community officials as well as scientists and educators, this book describes how evolution reveals both the great diversity and similarity among the Earth's organisms; it explores how scientists approach the question of evolution; and it illustrates the nature of science as a way of knowing about the natural world. In addition, the book provides answers to frequently asked questions to help readers understand many of the issues and misconceptions about evolution. The book includes sample activities for teaching about evolution and the nature of science. For example, the book includes activities that investigate fossil footprints and population growth that teachers of science can use to introduce principles of evolution. Background information, materials, and step-by-step presentations are provided for each activity. In addition, this volume: Presents the evidence for evolution, including how evolution can be observed today. Explains the nature of science through a variety of examples. Describes how science differs from other human endeavors and why evolution is one of the best avenues for helping students understand this distinction. Answers frequently asked questions about evolution. Teaching About Evolution and the Nature of Science builds on the 1996 National Science Education Standards released by the National Research Councilâ€"and offers detailed guidance on how to evaluate and choose instructional materials that support the standards. Comprehensive and practical, this book brings one of today's educational challenges into focus in a balanced and reasoned discussion. It will be of special interest to teachers of science, school administrators, and interested members of the community.



The Evolution Of The Sensitive Soul


The Evolution Of The Sensitive Soul
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Author : Simona Ginsburg
language : en
Publisher: MIT Press
Release Date : 2019-03-12

The Evolution Of The Sensitive Soul written by Simona Ginsburg and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-12 with Psychology categories.


A new theory about the origins of consciousness that finds learning to be the driving force in the evolutionary transition to basic consciousness. What marked the evolutionary transition from organisms that lacked consciousness to those with consciousness—to minimal subjective experiencing, or, as Aristotle described it, “the sensitive soul”? In this book, Simona Ginsburg and Eva Jablonka propose a new theory about the origin of consciousness that finds learning to be the driving force in the transition to basic consciousness. Using a methodology similar to that used by scientists when they identified the transition from non-life to life, Ginsburg and Jablonka suggest a set of criteria, identify a marker for the transition to minimal consciousness, and explore the far-reaching biological, psychological, and philosophical implications. After presenting the historical, neurobiological, and philosophical foundations of their analysis, Ginsburg and Jablonka propose that the evolutionary marker of basic or minimal consciousness is a complex form of associative learning, which they term unlimited associative learning (UAL). UAL enables an organism to ascribe motivational value to a novel, compound, non-reflex-inducing stimulus or action, and use it as the basis for future learning. Associative learning, Ginsburg and Jablonka argue, drove the Cambrian explosion and its massive diversification of organisms. Finally, Ginsburg and Jablonka propose symbolic language as a similar type of marker for the evolutionary transition to human rationality—to Aristotle's “rational soul.”



Learning On Demand


Learning On Demand
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Author : Reuben Tozman
language : en
Publisher: ASTD
Release Date : 2012

Learning On Demand written by Reuben Tozman and has been published by ASTD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Business & Economics categories.


Technology is constantly evolving, and training and development professionals need to take advantage of it.



Evolution Challenges


Evolution Challenges
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Author : Karl S. Rosengren
language : en
Publisher: Oxford University Press
Release Date : 2012-04-23

Evolution Challenges written by Karl S. Rosengren and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-23 with Psychology categories.


A recent poll revealed that one in four Americans believe in both creationism and evolution, while another 41% believe that creationism is true and evolution is false. A minority (only 13%) believe only in evolution. Given the widespread resistance to the idea that humans and other animals have evolved and given the attention to the ongoing debate of what should be taught in public schools, issues related to the teaching and learning of evolution are quite timely. Evolution Challenges: Integrating Research and Practice in Teaching and Learning about Evolution 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. The volume brings together researchers with diverse backgrounds in cognitive development and education to examine children's and adults' thinking, learning, and motivation, and how aspects of representational and symbolic knowledge influence learning about evolution. The book is organized around three main challenges inherent in teaching and learning evolutionary concepts: folk theories and conceptual biases, motivational and epistemological biases, and educational aspects in both formal and informal settings. Commentaries across the three main themes tie the book together thematically, and contributors provide ideas for future research and methods for improving the manner in which evolutionary concepts are conveyed in the classroom and in informal learning experiences. Evolution Challenges is a unique text that extends far beyond the traditional evolution debate and is an invaluable resource to researchers in cognitive development, science education and the philosophy of science, science teachers, and exhibit and curriculum developers.



Economic Evolution Learning And Complexity


Economic Evolution Learning And Complexity
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Author : Uwe Cantner
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Economic Evolution Learning And Complexity written by Uwe Cantner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


The twelve papers in this collection grew out of the workshop on "Eco nomic Evolution, Learning, and Complexity" held at the University of Augsburg, Augsburg, Germany on May 23-25, 1997. The Augsburg workshop was the second of two events in the Euroconference Series on Evolutionary Economics, the first of which was held in Athens, Greece in September 1993. A special issue of the Journal of Evolutionary Econo mics (1993(4)) edited by Yannis Katsoulacos on "Evolutionary and Neo classical Perspectives on Market Structure and Economic Growth" con tains selected papers from the Athens conference. The Athens conference explored neoclassical and evolutionary perspectives on technological competition and increasing returns. It helped to identify the dis tinguishing features of evolutionary scholarship. The Augsburg workshop was more oriented toward exploring methodological issues in evolutiona of the papers employed new me ry and related scholarship. A number thods, such as genetic programming and experimental analysis, some developed new econometric techniques or raised new empirical issues in evolutionary economics, and some relied on simulation techniques. Twelve papers covering a range of areas were selected for this collection. The papers address central issues in evolutionary and Schumpeterian accounts of industrial competition, learning, and innovation.



Evolution Of Learning And Memory Mechanisms


Evolution Of Learning And Memory Mechanisms
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Author : Mark A. Krause
language : en
Publisher: Cambridge University Press
Release Date : 2022-05-19

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 2022-05-19 with Medical categories.


This book examines how evolution influences learning and memory processes in both human and nonhuman animals.



Optinformatics In Evolutionary Learning And Optimization


Optinformatics In Evolutionary Learning And Optimization
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Author : Liang Feng
language : en
Publisher: Springer Nature
Release Date : 2021-03-29

Optinformatics In Evolutionary Learning And Optimization written by Liang Feng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-29 with Technology & Engineering categories.


This book provides readers the recent algorithmic advances towards realizing the notion of optinformatics in evolutionary learning and optimization. The book also provides readers a variety of practical applications, including inter-domain learning in vehicle route planning, data-driven techniques for feature engineering in automated machine learning, as well as evolutionary transfer reinforcement learning. Through reading this book, the readers will understand the concept of optinformatics, recent research progresses in this direction, as well as particular algorithm designs and application of optinformatics. Evolutionary algorithms (EAs) are adaptive search approaches that take inspiration from the principles of natural selection and genetics. Due to their efficacy of global search and ease of usage, EAs have been widely deployed to address complex optimization problems occurring in a plethora of real-world domains, including image processing, automation of machine learning, neural architecture search, urban logistics planning, etc. Despite the success enjoyed by EAs, it is worth noting that most existing EA optimizers conduct the evolutionary search process from scratch, ignoring the data that may have been accumulated from different problems solved in the past. However, today, it is well established that real-world problems seldom exist in isolation, such that harnessing the available data from related problems could yield useful information for more efficient problem-solving. Therefore, in recent years, there is an increasing research trend in conducting knowledge learning and data processing along the course of an optimization process, with the goal of achieving accelerated search in conjunction with better solution quality. To this end, the term optinformatics has been coined in the literature as the incorporation of information processing and data mining (i.e., informatics) techniques into the optimization process. The primary market of this book is researchers from both academia and industry, who are working on computational intelligence methods and their applications. This book is also written to be used as a textbook for a postgraduate course in computational intelligence emphasizing methodologies at the intersection of optimization and machine learning.