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Author: Katie Anderson
Publisher: Chromatika
Published: 2019-05-14
Total Pages:
ISBN-13: 9782930517605
DOWNLOAD EBOOKArtificial intelligence research connected with learning theory ("deep learning," “machine learning,” analysis of the quality of learning, etc.) has existed for many years; however, there have been few investigations in that area conducted from a robust philosophical methodological basis.
Author: Vassil Sgurev
Publisher: Springer Nature
Published: 2021-11-03
Total Pages: 489
ISBN-13: 3030781240
DOWNLOAD EBOOKThis book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.
Author: Donald Gillies
Publisher: OUP Oxford
Published: 1996-09-05
Total Pages: 190
ISBN-13: 9780198751588
DOWNLOAD EBOOKArtificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. Taking a clear, non-technical approach, Donald Gillies shows how current views on scientific method are challenged by this recent research, and suggests a new framework for the study of logic. Finally, he draws on work by such seminal thinkers as Bacon, Gödel, Popper, Penrose, and Lucas, to address the hotly contested question of whether computers might become intellectually superior to human beings.
Author: Sharan B. Merriam
Publisher: John Wiley & Sons
Published: 2020-01-06
Total Pages: 596
ISBN-13: 1119490510
DOWNLOAD EBOOKThe new edition of the authoritative book in the field of adult education — fully revised to reflect the latest research and practice implications. For nearly three decades, Learning in Adulthood has been the definitive guide in the field of adult education. Now in its fourth edition, this comprehensive volume is fully revised to reflect the latest developments in theory, research, and practice. The authors integrate foundational research and current knowledge to present fresh, original perspectives on teaching and learning in adulthood. Written by internationally-recognized experts, this market-leading guide draws from work in sociology, philosophy, critical social theory, psychology, and education to provide an inclusive overview of adult learning. Designed primarily for educators of adults, this book is accessible for readers new to adult education, yet suitably rigorous for those more familiar with the subject. Content is organized into four practical parts, covering topics such as the social context of adult learning, self-directed and transformational learning, postmodern and feminist perspectives, cognitive development in adulthood, and more. Offering the most comprehensive single-volume treatment of adult learning available, this landmark text: Offers a wide-ranging perspective on adult learning Synthesizes the latest thinking and work in the field Includes coverage of the sociocultural perspectives of adult learning Explores the broader social implications of adult education Learning in Adulthood: A Comprehensive Guide, 4th Edition is an indispensable resource for educators and administrators involved in teaching adults, as well as faculty and students in graduate programs in adult education.
Author: Matthew H. Olson
Publisher: Psychology Press
Published: 2015-07-22
Total Pages: 480
ISBN-13: 1317350693
DOWNLOAD EBOOKDefines learning and shows how the learning process is studied. Clearly written and user-friendly, Introduction to the Theories of Learning places learning in its historical perspective and provides appreciation for the figures and theories that have shaped 100 years of learning theory research. The 9th edition has been updated with the most current research in the field. With Pearson's MySearchLab with interactive eText and Experiment's Tool, this program is more user-friendly than ever. Learning Goals Upon completing this book, readers should be able to: Define learning and show how the learning process is studied Place learning theory in historical perspective Present essential features of the major theories of learning with implications for educational practice Note: MySearchLab does not come automatically packaged with this text. To purchase MySearchLab, please visit: www.mysearchlab.com or you can purchase a ValuePack of the text + MySearchLab (at no additional cost).
Author: Vincent C. Müller
Publisher: Springer Science & Business Media
Published: 2012-08-23
Total Pages: 413
ISBN-13: 3642316743
DOWNLOAD EBOOKCan we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.
Author: Seymour A Papert
Publisher: Basic Books
Published: 2020-10-06
Total Pages: 256
ISBN-13: 154167510X
DOWNLOAD EBOOKIn this revolutionary book, a renowned computer scientist explains the importance of teaching children the basics of computing and how it can prepare them to succeed in the ever-evolving tech world. Computers have completely changed the way we teach children. We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers. Technology changes every day, but the basic ways that computers can help us learn remain. For thousands of teachers and parents who have sought creative ways to help children learn with computers, Mindstorms is their bible.
Author: Rosemary Papa
Publisher: Springer Nature
Published: 2021-12-06
Total Pages: 190
ISBN-13: 3030776107
DOWNLOAD EBOOKThis book includes contributions by scholars from a variety of disciplines, the dialogue and discourse on how AI (artificial intelligence) development includes and/or excludes pedagogical educational learning theories focused on the learner. A call from Educational Leaders Without Borders (ELWB) was issued to scholars from across the globe who were asked to write a vignette described as an evocative description or account on how education leaders envision education in 2051 and A.I. beyond mere product purchase. These vignettes should engage us in questions as to how the development and use of AI technologies are shaped. As educators who believe education should be established on social justice beliefs and practices, our review of literature shows there are no books addressing the complexities of A.I. development and the role of educators. The futuristic element is unique in its approach to imagine a socially just better world in which to inspire educators. This unique feature encourages creativity in how one addresses the call to imagine a future world and our role as educators in that world.
Author: Ulrich Hoppe
Publisher: IOS Press
Published: 2003
Total Pages: 566
ISBN-13: 9781586033569
DOWNLOAD EBOOKThis work reports on research into intelligent systems, models, and architectures for educational computing applications. It covers a wide range of advanced information and communication and computational methods applied to education and training.
Author: Jolanta Mizera-Pietraszko
Publisher: Springer
Published: 2017-08-07
Total Pages: 504
ISBN-13: 3319607448
DOWNLOAD EBOOKIntelligent computing refers greatly to artificial intelligence with the aim at making computer to act as a human. This newly developed area of real-time intelligent computing integrates the aspect of dynamic environments with the human intelligence. This book presents a comprehensive practical and easy to read account which describes current state-of-the art in designing and implementing real-time intelligent computing to robotics, alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowd sourcing, broadband systems, cloud computing, streaming data and many other applications areas. The solutions discussed in this book will encourage the researchers and IT professional to put the methods into their practice.
