1.

Record Nr.

UNINA9910465074903321

Autore

Tunnicliffe Sue Dale

Titolo

Talking and doing science in the early years : a practical guide for ages 2-7 / / Sue Dale Tunnicliffe

Pubbl/distr/stampa

Milton Park, Abingdon, Oxon ; ; New York : , : Routledge, , 2013

ISBN

1-136-58750-0

0-203-16380-X

Edizione

[1st ed.]

Descrizione fisica

1 online resource (327 p.)

Disciplina

372.35

Soggetti

Science - Study and teaching (Early childhood) - United States

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; List of figures; Acknowledgements; 1. About the book; Summary; Introduction; About this book; Organization of the book; 2. Background to early years science; Emphasis of early years science; Development of the child as a scientist; Talk with doing; Scientific literacy for all; The language development through science work; Talking and listening; The ideas of children; Science of everyday; Investigations; Language acquisition; A child's first word; Helping children talk to clarify ideas

Using talk to focus a child's attentionAdults using talk to help learning; Story telling; Conclusion; 3. Resources, language and skills for everyday science; Summary; Introduction; Conclusion; 4. Living things - ourselves; Summary; Talking and doing; 5. Other living things - animals; Summary; Talking and doing; 6. Other living things - plants; Summary; Talking and doing; 7. Other living things - fungi, bacteria and algae; Summary; Talking and doing; 8. Forces - pushes and pulls; Summary; Talking and doing; 9. Structures; Summary; Talking and doing; 10. Changes; Summary; Talking and doing

11. MaterialsSummary; Talking and doing; 12. The built environment; Summary; Talking and doing; 13. Outside - the natural environment: soils, sky, weather; Summary; Talking and doing; References and further reading; Index



Sommario/riassunto

<P>Young children are intuitive, emergent scientists - they observe, raise hypotheses, experiment and notice patterns. Most of our everyday actions at home and in other settings, inside and outside, have a scientific basis and it is through these early experiences that children formulate their ideas about the world in which we live. </P><P>This accessible book introduces the simplest form of the principles and the big ideas of science and provides a starting point for encouraging children to have an interest and experiential understanding of basic science and engineering. It shows you how you

2.

Record Nr.

UNINA9910784848703321

Autore

Bäck Thomas <1963->

Titolo

Evolutionary algorithms in theory and practice [[electronic resource] ] : evolution strategies, evolutionary programming, genetic algorithms / / Thomas Bäck

Pubbl/distr/stampa

New York, : Oxford University Press, 1996

ISBN

0-19-756092-X

1-280-76079-6

9786610760794

0-19-535670-5

Descrizione fisica

1 online resource (329 p.)

Collana

Oxford scholarship online

Disciplina

005.1

006.3

Soggetti

Genetic algorithms

Evolution (Biology) - Mathematical models

Evolutionary programming (Computer science)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Previously issued in print: 1996.

Nota di bibliografia

Includes bibliographical references (p. 293-305) and index.

Nota di contenuto

Contents; Introduction; I: A COMPARISON OF EVOLUTIONARY ALGORITHMS; 1 Organic Evolution and Problem Solving; 1.1 Biological Background; 1.2 Evolutionary Algorithms and Artificial Intelligence; 1.3 Evolutionary Algorithms and Global Optimization; 1.4 Early Approaches; 1.5 Summary; 2 Specific Evolutionary Algorithms; 2.1



Evolution Strategies; 2.2 Evolutionary Programming; 2.3 Genetic Algorithms; 2.4 Summary; 3 Artificial Landscapes; 3.1 Sphere Model; 3.2 Step Function; 3.3 Ackley's Function; 3.4 Function after Fletcher and Powell; 3.5 Fractal Function; 3.6 Summary; 4 An Empirical Comparison

C.2 UsageC.3 Data Collection; D: The Multiprocessor Environment; D.1 The Transputer System; D.2 The Helios Operating System; E: Mathematical Symbols; Bibliography; Index; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W

Sommario/riassunto

Comparing the three most prominent representatives of evolutionary algorithms - genetic algorithms, evolution strategies and evolutionary programming - this book examines the computational methods at the border between computer science and evolutionary biology. The algorithms are explained within a common framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms and uses a meta-evolutionary approach to confirm some of the theoretical results.