Adaptive Intelligence

Adaptive Intelligence
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.

Adaptive Business Intelligence

Adaptive Business Intelligence
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.

Intelligence as Adaptive Behavior

Intelligence as Adaptive Behavior
Author: B. Chandrasekaran
Publisher: Academic Press
Total Pages: 240
Release: 2013-10-22
Genre: Computers
ISBN: 1483288129

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

Prerational Intelligence

Prerational Intelligence
Author: Holk Cruse
Publisher: Springer Science & Business Media
Total Pages: 332
Release: 2000
Genre: Computers
ISBN: 9780792366690

Intelligent Adaptive Systems

Intelligent Adaptive Systems
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.

Theory of Adaptive Structures

Theory of Adaptive Structures
Author: Senol Utku
Publisher: CRC Press
Total Pages: 298
Release: 1998-02-18
Genre: Technology & Engineering
ISBN: 9780849374319

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 .

Successful Intelligence

Successful Intelligence
Author: Robert J. Sternberg
Publisher:
Total Pages: 312
Release: 1996
Genre: Education
ISBN:

Argues people need 3 kinds of intelligence to be successful in life: analytical, creative and practical.

Intelligent and Adaptive Educational-Learning Systems

Intelligent and Adaptive Educational-Learning Systems
Author: Alejandro Peña-Ayala
Publisher: Springer Science & Business Media
Total Pages: 522
Release: 2012-08-10
Genre: Technology & Engineering
ISBN: 3642301711

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.

Understanding Intelligence

Understanding Intelligence
Author: Rolf Pfeifer
Publisher: MIT Press
Total Pages: 724
Release: 2001-07-27
Genre: Computers
ISBN: 9780262250795

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.