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Topics and approaches to studying intelligence

Author: Andrew Macpherson

Publisher: Vernon Press

Published: 2024-09-03

Total Pages: 187

ISBN-13:

The goal of "Topics and approaches to studying intelligence" is to bring into sharper focus the evolving nature of intelligence studies, which is in the midst of a period of significant expansion that is taking place across a number of dimensions. Working on this foundation of past and contemporary analytic intelligence studies, the chapters in "Topics and approaches to studying intelligence" highlight areas of debate and disagreement, provide insight into new areas of study and broaden the methodological toolset used by researchers. Both qualitative and quantitative approaches investigate analysis, alliances, competitive/private sector intelligence, gendered practices of intelligence agencies, the nature of intelligence studies scholarship, accreditation, intelligence disclosure for diplomacy, and the sharing of nuclear-related intelligence.

Topics and Approaches to Studying Intelligence

Author: Andrew MacPherson

Publisher: Vernon Press

Published: 2024-04-30

Total Pages: 0

ISBN-13: 9781648898815

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The Scientific Study of General Intelligence

Author: Helmuth Nyborg

Publisher: Elsevier

Published: 2003-07-11

Total Pages: 668

ISBN-13: 0080516661

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This book celebrates two triumphs in modern psychology: the successful development and application of a solid measure of general intelligence; and the personal courage and skills of the man who made this possible - Arthur R. Jensen from Berkeley University. The volume traces the history of intelligence from the early 19th century approaches, to the most recent analyses of the hierarchical structure of cognitive abilities, and documents the transition from a hopelessly confused concept of intelligence to the development of an objective measure of psychometric g. The contributions illustrate the impressive power g has with respect to predicting educational achievement, getting an attractive job, or social stratification. The book is divided into six parts as follows: Part I presents the most recent higher-stream analysis of cognitive abilities, Part II deals with biological aspects of g, such as research on brain imaging, glucose uptake, working memory, reaction time, inspection time, and other biological correlates, and concludes with the latest findings in g-related molecular genetics. Part III addresses demographic aspects of g, such as geographic-, race-, and sex-differences, and introduces differential psychological aspects as well. Part IV concentrates on the g nexus, and relates such highly diverse topics as sociology, genius, retardation, training, education, jobs, and crime to g. Part V contains chapters critical of research on g and its genetic relationship, and also presents a rejoinder. Part VI looks at one of the greatest contemporary psychologists, Professor Emeritus Arthur R. Jensen as teacher and mentor.

Intelligence Analysis for Tomorrow

Author: National Research Council

Publisher: National Academies Press

Published: 2011-04-08

Total Pages: 116

ISBN-13: 0309163420

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The intelligence community (IC) plays an essential role in the national security of the United States. Decision makers rely on IC analyses and predictions to reduce uncertainty and to provide warnings about everything from international diplomatic relations to overseas conflicts. In today's complex and rapidly changing world, it is more important than ever that analytic products be accurate and timely. Recognizing that need, the IC has been actively seeking ways to improve its performance and expand its capabilities. In 2008, the Office of the Director of National Intelligence (ODNI) asked the National Research Council (NRC) to establish a committee to synthesize and assess evidence from the behavioral and social sciences relevant to analytic methods and their potential application for the U.S. intelligence community. In Intelligence Analysis for Tomorrow: Advances from the Behavioral and Social Sciences, the NRC offers the Director of National Intelligence (DNI) recommendations to address many of the IC's challenges. Intelligence Analysis for Tomorrow asserts that one of the most important things that the IC can learn from the behavioral and social sciences is how to characterize and evaluate its analytic assumptions, methods, technologies, and management practices. Behavioral and social scientific knowledge can help the IC to understand and improve all phases of the analytic cycle: how to recruit, select, train, and motivate analysts; how to master and deploy the most suitable analytic methods; how to organize the day-to-day work of analysts, as individuals and teams; and how to communicate with its customers. The report makes five broad recommendations which offer practical ways to apply the behavioral and social sciences, which will bring the IC substantial immediate and longer-term benefits with modest costs and minimal disruption.

Primary Mental Abilities

Author: Louis L. Thurstone

Publisher:

Published: 1962

Total Pages:

ISBN-13:

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Artificial Intelligence Approaches to Sustainable Accounting

Author: Tavares, Maria C.

Publisher: IGI Global

Published: 2024-04-01

Total Pages: 328

ISBN-13:

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In an age defined by unparalleled technological advancements, globalization, and the looming specter of environmental and societal crises, the need for a holistic and sustainable approach to accounting practices has never been more pressing. Academic scholars stand witness to the challenges posed by the new era, characterized by transformative shifts across industry, education, community, and society at large. These shifts, driven by rapid advancements in Artificial Intelligence (AI), present a double-edged sword. While AI offers unprecedented opportunities for innovation, it also amplifies the urgency of addressing sustainability concerns. Today's society grapples with the immense responsibility of achieving the Sustainable Development Goals (SDGs) outlined in Agenda 2030. It is imperative to not only understand but harness the power of AI to drive sustainability, enhance the quality of life, and ensure sustainable growth on both local and global scales. Artificial Intelligence Approaches to Sustainable Accounting serves as a beacon of knowledge, providing a comprehensive exploration of the intersection between AI, accounting, and sustainability. This book represents a vital solution to the challenges faced by academic scholars and practitioners alike. Within its pages lies a transdisciplinary approach that bridges the gap between these critical fields. Discover how AI can elevate accounting to new heights, extending the spectrum of information in organizational decision-making, promoting responsible reporting practices, and bolstering sustainable practices worldwide. This book not only reviews governance and management processes but also offers practical methodologies that empower organizations to embrace sustainability wholeheartedly.

A Classical Approach to Artificial Intelligence

Author: Munesh Chandra Trivedi

Publisher: KHANNA PUBLISHING HOUSE

Published: 2014

Total Pages: 540

ISBN-13: 8190698893

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There are many books available in the market on the proposed topic but none of them can be termed as comprehensive. Besides, students face many problems in understanding the language of this books. Keeping these points in mind, Artificial Intelligence was prepared, which should be simple enough to comprehend and comprehensive enough to encompass all the topics of different institutions and universities.

Intelligence

Author: David W. Pyle

Publisher: Taylor & Francis

Published: 2023-05-26

Total Pages: 121

ISBN-13: 1000924548

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Intelligence (1979) examines the many complex issues which concern this aspect of learning and development. It is intended as a primer and introduction not only to the concept of intelligence itself but also to the technical and to the educational aspects of the subject. It brings together and critically discusses various views of intelligence, including the psychometric, the developmental and the behavioural.

Handbook of Research on Mixed Methods Research in Information Science

Author: Ngulube, Patrick

Publisher: IGI Global

Published: 2021-11-26

Total Pages: 737

ISBN-13: 1799888460

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Mixed methods research is becoming prevalent in many fields, yet little has been done to elevate mixed methods research in information science. A comprehensive picture of information science and its problems is needed to further understand and address the issues associated with it as well as how mixed methods research can be adapted and used. The Handbook of Research on Mixed Methods Research in Information Science discusses the quality of mixed methods studies and methodological transparency, sampling in mixed methods research, and the application of theory in mixed methods research throughout various contexts. Covering topics such as the issues and potential directions for further research in mixed methods, this comprehensive major reference work is ideal for researchers, policymakers, academicians, librarians, practitioners, instructors, and students.

Understanding Intelligence

Author: Rolf Pfeifer

Publisher: MIT Press

Published: 2001-07-27

Total Pages: 724

ISBN-13: 9780262250795

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The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI." This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.