| View Larger Image | Swarm Intelligence: Introduction and Applications (Natural Computing Series) | Hardcoverby Christian Blum (Editor), Daniel Merkle (Editor)
| List Price: | $89.95 | | Price: | $71.96 | | You Save: | $17.99 (20%) | | | Available: | Usually ships in 24 hours |
| | Binding: | Hardcover | | Publisher: | Springer | | Edition: | 1st Edition | | Page Count: | 286 Pages | | Publication Date: | November 17, 2008 | | Sales Rank: | 1,523,976st |
|
EDITORIAL REVIEWS |
Product Description
The laws that govern the collective behavior of social insects, flocks of birds, or fish schools continue to mesmerize researchers. While individuals are rather unsophisticated, in cooperation they can solve complex tasks, a prime example being the ability of ant colonies to find shortest paths between their nests and food sources. Task-solving results from self-organization, which often evolves from simple means of communication, either directly or indirectly via changing the environment, the latter referred to as stigmergy. Scientists have applied these principles in new approaches, for example to optimization and the control of robots. Characteristics of the resulting systems include robustness and flexibility. This field of research is now referred to as swarm intelligence. The contributing authors are among the top researchers in their domain. The book is intended to provide an overview of swarm intelligence to novices, and to offer researchers in the field an update on interesting recent developments. Introductory chapters deal with the biological foundations, optimization, swarm robotics, and applications in new-generation telecommunication networks, while the second part contains chapters on more specific topics of swarm intelligence research such as the evolution of robot behavior, the use of particle swarms for dynamic optimization, and organic computing. |
CUSTOMER REVIEWS (Average Customer Rating: 4.0 based on 1 review)
|
better routing protocols ?! by W Boudville (Terra, Sol 3)  4 Stars
June 06, 2009
You might perhaps regard this as another in Springer's extensive list of texts on robotics. Some of the book describes the biological underpinnings; the swarms that exist in nature. But the bulk relates to various implementations in robotics.
There is modelling and analysis of different swarm robotic systems. Where there is often custom hardware.
In a different light, one chapter looks at not robots, but purely computers; ie. the computers are without custom mechanical fittings that are typical of robots. Instead, routing protocols are conjectured, inspired by group behaviours found in some social insect societies like ants and bees. This is perhaps [at least to me] the most imaginative of the chapters. Those authors really did a marked conceptual shift from one context to another. Good for them!
| |
SIMILAR PRODUCTS |
| Ant Colony Optimization (Bradford Books)
by Marco Dorigo (Author), Thomas Stützle (Author)
The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of Ant Colony Optimization (ACO), the most successful and widely recognized algorithmic technique based on ant...
| 
| Swarm Intelligence (The Morgan Kaufmann Series in Artificial Intelligence)
by Russell C. Eberhart (Author), Yuhui Shi (Author), James Kennedy (Author)
Traditional methods for creating intelligent computational systems have
privileged private "internal" cognitive and computational processes. In
contrast, Swarm Intelligence argues that human
intelligence derives from the interactions of individuals in a social world
and further, that this model of intelligence can be effectively applied to
artificially intelligent systems. The authors first present the foundations of
this new approach through an extensive review of the...
| 
| Fundamentals of Computational Swarm Intelligence
by Andries P. Engelbrecht (Author)
Fundamentals of Computational Swarm Intelligence provides a comprehensive introduction to the new computational paradigm of Swarm Intelligence (SI), a field that emerged from biological research, and is now picking up momentum within the computational research community. Bio-inspired systems are becoming increasingly important research areas for computer scientists, engineers, economists, bioinformaticians, operational researchers, and many other disciplines. This book introduces the reader to...
| 
| Programming Collective Intelligence: Building Smart Web 2.0 Applications
by Toby Segaran (Author)
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it....
| 
| Complexity: A Guided Tour
by Melanie Mitchell (Author)
What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer.
In this remarkably accessible...
|
|
|
