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Author: Robert J. Sternberg
Publisher: Cambridge University Press
Published: 2021-02-04
Total Pages: 283
ISBN-13: 1107154383
DOWNLOAD EBOOK →High IQs don't improve the world. Adaptive intelligence does, because it prioritizes the common good over individual success.
Author: Zbigniew Michalewicz
Publisher: Springer Science & Business Media
Published: 2006-12-02
Total Pages: 249
ISBN-13: 3540329293
DOWNLOAD EBOOK →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: B. Chandrasekaran
Publisher: Academic Press
Published: 2013-10-22
Total Pages: 240
ISBN-13: 1483288129
DOWNLOAD EBOOK →The "intelligence" of traditional artificial intelligence systems is notoriously narrow and inflexible--incapable of adapting to the constantly changing circumstances of the real world. Although traditional artificial intelligence systems can be successful in narrowly prescribed domains, they are inappropriate for dynamic, complex domains, such as autonomous robot navigation.**This book proposes an alternative methodology for designing intelligent systems based on a model of intelligence as adaptive behavior. The author describes an experiment in computational neuroethology--the computer modeling of neuronal control of behavior--in which the nervous system for an artificial insect is modeled. The experiment demonstrates that simple, complete intelligent agents are able to cope with complex, dynamic environments--suggesting that adaptive models of intelligence, based on biological bases of adaptive behavior, may prove to be very useful in the design of intelligent, autonomous systems. Provides a lucid critique of traditional artificial intelligence research programs Presents new methodology for the construction autonomous agents, which has implications for mobile robotics Of interest to researchers in a variety of fields: artificial intelligence, neural networks, robotics, cognitive science, and neuroscience
Author: Charles Karr
Publisher: CRC Press
Published: 1999-04-12
Total Pages: 282
ISBN-13: 9780849320699
DOWNLOAD EBOOK →Written as a result of a seven year research project using computational intelligence techniques for solving mineral processing problems at the U.S. Bureau of Mines, this book is about intelligent, adaptive process control. It brings together ideas from the field of computational intelligence , a part of the larger field of artificial intelligence, including fuzzy mathematics, genetic algorithms, and neural networks and uses these ideas to develop a generic architecture for accomplishing adaptive process control. In the development of this architecture, the requisite tools are described and then demonstrated on a number of problems. Moreover, most of the examples are of interest in industrial settings (although some simple examples are provided in the beginning so that the reader can focus on technique and not be overburdened with the complexity of the problems being solved.) The focus of Practical Applications of Computational Intelligence for Adaptive Control is on practical applications. It provides practicing engineers and scientists with the information they need to solve process control problems in industry and academia. If the reader is interested in solving difficult control problems or interested in the mechanics of basic computational intelligence techniques, then this book is an excellent place to start.
Author: Haibo He
Publisher: John Wiley & Sons
Published: 2011-09-15
Total Pages: 189
ISBN-13: 1118025598
DOWNLOAD EBOOK →This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.
Author: Holk Cruse
Publisher: Springer Science & Business Media
Published: 2000
Total Pages: 332
ISBN-13: 9780792366690
DOWNLOAD EBOOK →Author: Robert J. Sternberg
Publisher:
Published: 1996
Total Pages: 312
ISBN-13:
DOWNLOAD EBOOK →Argues people need 3 kinds of intelligence to be successful in life: analytical, creative and practical.
Author: Senol Utku
Publisher: CRC Press
Published: 1998-02-18
Total Pages: 298
ISBN-13: 9780849374319
DOWNLOAD EBOOK →Theory of Adaptive Structures provides the basic theory for controlling adaptive structures in static and dynamic environments. It synthesizes well-established theories on modern control as well as statics and dynamics of deformable bodies. Discussions concentrate on the discrete parameter adaptive structures dealing with actuator placement, actuator selection, and actuation computation problems - keeping these structures at close proximity of any chosen nominal state with the least energy consumption. An introduction to the distributed parameter adaptive structures is also provided. The book follows that modern trend in research and industry striving to incorporate intelligence into engineered products through microprocessors that are becoming smaller, faster, and cheaper at astounding rates. Not using them in engineered products may become an enormous liability. Resulting from the advances in materials technology on sensors and actuator technologies as well as the availability of very powerful and reliable microprocessors, there is an ever-increasing interest in actively controlling the behavior of engineering systems. Engineers and engineering scientists must revive and broaden their activities to maximize applications for predicting and controlling the behavior of deformable bodies. Topics include: An introduction to adaptive structures Incremental excitation-response relations in static and dynamic cases Active control of response in static case Statically determinate adaptive structures Statically indeterminate adaptive structures Active vibration control for autonomous and non-autonomous cases Active control against wind Active control against seismic loads Distributed parameter adaptive structures The technology of adaptive structures has created an environment where the analysis, not the computation, of structural response - due to actuator-inserted deformations - has become important. Problems related to the placement, the operation in real time, and the energy consumption of the actuators require the review and broadening of the theories long dormant due to the emphasis placed in the numerical simulations of structural behavior by the displacement finite element method. This book furnishes the basic theory needed by modern engineers in the design and control of discrete parameter adaptive structures .
Author: Alejandro Peña-Ayala
Publisher: Springer Science & Business Media
Published: 2012-08-10
Total Pages: 522
ISBN-13: 3642301711
DOWNLOAD EBOOK →The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and Applications. This volume is of interest to researchers, practitioners, professors and postgraduate students aimed to update their knowledge and find out targets for future work in the field of artificial intelligence on education.
Author: Society for Worldwide Society for Worldwide Interban
Publisher: Elsevier
Published: 2014-06-28
Total Pages: 259
ISBN-13: 1483298159
DOWNLOAD EBOOK →Dedicated to the consideration of advanced I.T. technologies and their financial applications, this volume contains contributions from an international group of system developers and managers from academia, the financial industry and their suppliers: all actively involved in the development and practical introduction of these technologies into banking and financial organisations. Concentrating on real experience and present needs, rather than theoretical possibilities or limited prototype applications, it is hoped the publication will give a better insight into advanced I.T. practice and potential as it currently exists and motivate today's developers and researchers. In addition to the discussion of a wide range of technologies and approaches to ensure adaptivity, three other major topics are explored in the book: neural networks, classical software engineering techniques and rule-based systems.
