Intelligent Complex Adaptive Systems

Intelligent Complex Adaptive Systems PDF

Author: Yang, Ang

Publisher: IGI Global

Published: 2008-03-31

Total Pages: 380

ISBN-13: 1599047195

DOWNLOAD EBOOK →

"This book explores the foundation, history, and theory of intelligent adaptive systems, providing a fundamental resource on topics such as the emergence of intelligent adaptive systems in social sciences, biologically inspired artificial social systems, sensory information processing, as well as the conceptual and methodological issues and approaches to intelligent adaptive systems"--Provided by publisher.

Applications of Complex Adaptive Systems

Applications of Complex Adaptive Systems PDF

Author: Shan, Yin

Publisher: IGI Global

Published: 2008-02-28

Total Pages: 352

ISBN-13: 1599049635

DOWNLOAD EBOOK →

"This book provides an estimable global view of the most up-to-date research on the strategies, applications, practice, and implications of complex adaptive systems, to better understand the various critical systems that surround human life. Researchers will find this book an indispensable state-of-art reference"--Provided by publisher.

Organizational Survival in the New World

Organizational Survival in the New World PDF

Author: Alex Bennet

Publisher: Routledge

Published: 2004-02-18

Total Pages: 401

ISBN-13: 1136375058

DOWNLOAD EBOOK →

In this book David and Alex Bennet propose a new model for organizations that enables them to react more quickly and fluidly to today's fast-changing, dynamic business environment: the Intelligent Complex Adaptive System (ICAS). ICAS is a new organic model of the firm based on recent research in complexity and neuroscience, and incorporating networking theory and knowledge management, and turns the living system metaphor into a reality for organizations. This book synthesizes new thinking about organizational structure from the fields listed above into ICAS, a new systems model for the successful organization of the future designed to help leaders and managers of knowledge organizations succeed in a non-linear, complex, fast-changing and turbulent environment. Technology enables connectivity, and the ICAS model takes advantage of that connectivity by fostering the development of dynamic, effective and trusting relationships in a new organizational structure. This book outlines the model in chapter four, and then breaks down the model into its components in the next two chapters. This is a benefit to readers since different components of the model can be implemented at different times, so the book can guide implementation of one or all of the components as a manager sees fit. There are eight characteristics of the ICAS: organizational intelligence, unity and shared purpose, optimum complexity, selectivity, knowledge centricity, flow, permeable boundaries, and multi-dimensionality.

Intelligent Behavior in Animals and Robots

Intelligent Behavior in Animals and Robots PDF

Author: David McFarland

Publisher: MIT Press

Published: 1993

Total Pages: 340

ISBN-13: 9780262132930

DOWNLOAD EBOOK →

This exciting study explores the novel insight, based on well-established ethological principles, that animals, humans, and autonomous robots can all be analyzed as multi-task autonomous control systems.

Organizational Survival in the New World

Organizational Survival in the New World PDF

Author: Alex Bennet

Publisher: Routledge

Published: 2004

Total Pages: 402

ISBN-13: 0750677120

DOWNLOAD EBOOK →

The Bennets offer a new theory of the firm, describing a next-generation organization designed to exhibit flexibility and agility in order to meet the challenges of increasing change, uncertainty, and complexity that characterize the competitive environment.

Intelligent Adaptive Systems

Intelligent Adaptive Systems PDF

Author: Ming Hou

Publisher: CRC Press

Published: 2014-12-02

Total Pages: 336

ISBN-13: 1466517247

DOWNLOAD EBOOK →

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.

Complexity

Complexity PDF

Author: John Henry Holland

Publisher: Oxford University Press, USA

Published: 2014

Total Pages: 121

ISBN-13: 0199662541

DOWNLOAD EBOOK →

In this very short introduction, John Holland presents an introduction to the science of complexity. Using examples from biology and economics, he shows how complexity science models the behaviour of complex systems.

Intelligence as Adaptive Behavior

Intelligence as Adaptive Behavior PDF

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

Self-Adaptive Systems for Machine Intelligence

Self-Adaptive Systems for Machine Intelligence PDF

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.

Complex Adaptive Systems

Complex Adaptive Systems PDF

Author: John H. Miller

Publisher: Princeton University Press

Published: 2009-11-28

Total Pages: 285

ISBN-13: 1400835526

DOWNLOAD EBOOK →

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.