The Development of Adaptive Intelligence
Author | : Carol Fleisher Feldman |
Publisher | : |
Total Pages | : 170 |
Release | : 1974 |
Genre | : Psychology |
ISBN | : |
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Author | : Carol Fleisher Feldman |
Publisher | : |
Total Pages | : 170 |
Release | : 1974 |
Genre | : Psychology |
ISBN | : |
Author | : Robert J. Sternberg |
Publisher | : Cambridge University Press |
Total Pages | : 283 |
Release | : 2021-02-04 |
Genre | : Education |
ISBN | : 1107154383 |
High IQs don't improve the world. Adaptive intelligence does, because it prioritizes the common good over individual success.
Author | : Carol Fleisher Feldman |
Publisher | : |
Total Pages | : 158 |
Release | : 1974-01-01 |
Genre | : Social Science |
ISBN | : 9780835793155 |
Author | : Gerd Gigerenzer |
Publisher | : Oxford University Press |
Total Pages | : 370 |
Release | : 2002-03-07 |
Genre | : Computers |
ISBN | : 9780195153729 |
Where do new ideas come from? What is social intelligence? Why do social scientists perform mindless statistical rituals? This vital book is about rethinking rationality as adaptive thinking: to understand how minds cope with their environments, both ecological and social.Gerd Gigerenzer proposes and illustrates a bold new research program that investigates the psychology of rationality, introducing the concepts of ecological, bounded, and social rationality. His path-breaking collection takes research on thinking, social intelligence, creativity, and decision-making out of an ethereal world where the laws of logic and probability reign, and places it into our real world of human behavior and interaction. Adaptive Thinking is accessibly written for general readers with an interest in psychology, cognitive science, economics, sociology, philosophy, artificial intelligence, and animal behavior. It also teaches a practical audience, such as physicians, AIDS counselors, and experts in criminal law, how to understand and communicate uncertainties and risks.
Author | : Taras Kowaliw |
Publisher | : Springer |
Total Pages | : 266 |
Release | : 2014-06-04 |
Genre | : Technology & Engineering |
ISBN | : 3642553370 |
The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks. The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the desi gn of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines. This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning.
Author | : Holk Cruse |
Publisher | : Springer Science & Business Media |
Total Pages | : 332 |
Release | : 2000 |
Genre | : Computers |
ISBN | : 9780792366690 |
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 350 |
Release | : 2002-07-09 |
Genre | : Social Science |
ISBN | : 0309169941 |
Current estimates suggest that between one and three percent of people living in the United States will receive a diagnosis of mental retardation. Mental retardation, a condition characterized by deficits in intellectual capabilities and adaptive behavior, can be particularly hard to diagnose in the mild range of the disability. The U.S. Social Security Administration (SSA) provides income support and medical benefits to individuals with cognitive limitations who experience significant problems in their ability to perform work and may therefore be in need of governmental support. Addressing the concern that SSA's current procedures are consistent with current scientific and professional practices, this book evaluates the process used by SSA to determine eligibility for these benefits. It examines the adequacy of the SSA definition of mental retardation and its current procedures for assessing intellectual capabilities, discusses adaptive behavior and its assessment, advises on ways to combine intellectual and adaptive assessment to provide a complete profile of an individual's capabilities, and clarifies ways to differentiate mental retardation from other conditions.
Author | : Zbigniew Michalewicz |
Publisher | : Springer Science & Business Media |
Total Pages | : 249 |
Release | : 2006-12-02 |
Genre | : Computers |
ISBN | : 3540329293 |
Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book explains the application of numerous prediction and optimization techniques, and shows how these concepts can be used to develop adaptive systems. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling.
Author | : Arundhati Hoskeri |
Publisher | : Cognitive Mastery |
Total Pages | : 0 |
Release | : 2024-06-13 |
Genre | : |
ISBN | : |
Author | : Ming Hou |
Publisher | : CRC Press |
Total Pages | : 336 |
Release | : 2014-12-02 |
Genre | : Computers |
ISBN | : 1466517247 |
As ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers. The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned. Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.