1# Library to Find Best eBook for Read
Author : Dietrich Albert
Release : 2024-01-08
Genre : Science
Kind : eBook
Book Rating : 31X/5 ( reviews)
Book Synopsis Distributed cognition in learning and behavioral change – based on human and artificial intelligence by : Dietrich Albert
Download or read book Distributed cognition in learning and behavioral change – based on human and artificial intelligence written by Dietrich Albert. This book was released on 2024-01-08. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Itiel E. Dror
Release : 2008-12-17
Genre : Psychology
Kind : eBook
Book Rating : 646/5 ( reviews)
Book Synopsis Cognition Distributed by : Itiel E. Dror
Download or read book Cognition Distributed written by Itiel E. Dror. This book was released on 2008-12-17. Available in PDF, EPUB and Kindle. Book excerpt: Our species has been a maker and user of tools for over two million years, but "cognitive technology" began with language. Cognition is thinking, and thinking has been "distributed" for at least the two hundred millennia that we have been using speech to interact and collaborate, allowing us to do collectively far more than any of us could have done individually. The invention of writing six millennia ago and print six centuries ago has distributed cognition still more widely and quickly, among people as well as their texts. But in recent decades something radically new has been happening: Advanced cognitive technologies, especially computers and the Worldwide Web, are beginning to redistribute cognition in unprecedented ways, not only among people and static texts, but among people and dynamical machines. This not only makes possible new forms of human collaboration, but new forms of cognition. This book examines the nature and prospects of distributed cognition, providing a conceptual framework for understanding it, and showcasing case studies of its development. This volume was originally published as a Special Issue of Pragmatics & Cognition (14:2, 2006).
Author : Sandeep Kumar
Release : 2021-11-23
Genre : Computers
Kind : eBook
Book Rating : 088/5 ( reviews)
Book Synopsis Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms by : Sandeep Kumar
Download or read book Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms written by Sandeep Kumar. This book was released on 2021-11-23. Available in PDF, EPUB and Kindle. Book excerpt: COGNITIVE BEHAVIOR AND HUMAN COMPUTER INTERACTION BASED ON MACHINE LEARNING ALGORITHMS The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design. Human-computer interaction (HCI) is the academic discipline, which most of us think of as UI design, that focuses on how human beings and computers interact at ever-increasing levels of both complexity and simplicity. Because of the importance of the subject, this book aims to provide more relevant information that will be useful to students, academics, and researchers in the industry who wish to know more about its real-time application. In addition to providing content on theory, cognition, design, evaluation, and user diversity, this book also explains the underlying causes of the cognitive, social and organizational problems typically devoted to descriptions of rehabilitation methods for specific cognitive processes. Also described are the new modeling algorithms accessible to cognitive scientists from a variety of different areas. This book is inherently interdisciplinary and contains original research in computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Since machine learning research has already been carried out for a decade in various applications, the new learning approach is mainly used in machine learning-based cognitive applications. Since this will direct the future research of scientists and researchers working in neuroscience, neuroimaging, machine learning-based brain mapping, and modeling, etc., this book highlights the framework of a novel robust method for advanced cross-industry HCI technologies. These implementation strategies and future research directions will meet the design and application requirements of several modern and real-time applications for a long time to come. Audience: A wide range of researchers, industry practitioners, and students will be interested in this book including those in artificial intelligence, machine learning, cognition, computer programming and engineering, as well as social sciences such as psychology and linguistics.
Author : Peter Bock
Release : 1993-03-17
Genre : Computers
Kind : eBook
Book Rating : 345/5 ( reviews)
Book Synopsis Emergence Of Artificial Cognition, The: An Introduction To Collective Learning by : Peter Bock
Download or read book Emergence Of Artificial Cognition, The: An Introduction To Collective Learning written by Peter Bock. This book was released on 1993-03-17. Available in PDF, EPUB and Kindle. Book excerpt: In this extraordinary new book, a pioneer in the research on Collective Learning Systems (an adaptive learning paradigm for artificial intelligence) describes the processes and mechanisms of human and artificial cognition, defines a fundamental building block for assembling large-scale adaptive systems (the learning cell) and proposes a design for the ultimate machine: a hierarchical network of 100 million learning cells that could exhibit the full range of cognitive capabilities of the human cerebral cortex.The author demonstrates that using the classical “expert system” approach to create such a vast knowledge base would require thousands of years to program all the necessary rules. He then explains how an adaptive Collective Learning System could achieve this goal in a matter of 20 years, much as humans do. Based on natural anatomical and behavioral precedents, Collective Learning enables a machine to learn the appropriate rules through trial-and-error interaction with the real world.In the course of explaining the principles of Collective Learning and his design for the ultimate machine, the author introduces a new theory of games for modelling the processes of the universe and discusses the philosophical issues raised by the prospect of creating machines that exhibit human-like intelligence. In addition to a number of small-scale software illustrations of Collective Learning, the final chapter presents the remarkable results of a large-scale research project directed by the author: a hardware and software simulation of the sub-symbolic image-processing functions of the primary visual cortex of the brain.To make the content palatable to a wide variety of readers, the book is written in a conversational style and laced with humor.Lengthy mathematical derivations and proofs have been omitted or abbreviated. Bibliographical references to scholarly journal papers and books are included to guide theoreticians to the attendant formalisms.
Author : Michael McNeese
Release : 2020-09-28
Genre : Computers
Kind : eBook
Book Rating : 028/5 ( reviews)
Book Synopsis Fields of Practice and Applied Solutions within Distributed Team Cognition by : Michael McNeese
Download or read book Fields of Practice and Applied Solutions within Distributed Team Cognition written by Michael McNeese. This book was released on 2020-09-28. Available in PDF, EPUB and Kindle. Book excerpt: Many different cognitive research approaches have been generated to explore fields of practice where mutual teamwork is present and emergent. Results have shown subtle yet significant findings on how humans actually work together and when they transition from their own individual roles and niches into elements of teamwork and team-to-team work. Fields of Practice and Applied Solutions within Distributed Team Cognition explores the advantages of teams and shows how researchers can obtain a deep understanding of users/teams that are entrenched in a particular field. Interdisciplinary perspectives and transformative intersections are provided. Features Delineates contextual nuances of socio-technical environments as influencers of team cognition Provides quantitative/qualitative perspectives of distributed team cognition by demonstrating in situ interactions Reviews applied teamwork for fields of practice in medicine, cybersecurity, education, aviation, and manufacturing Generates practical examples of distributed work and how cognition develops across teams using technologies Specifies applied solutions through technologies such as robots, agents, games, and social networks
