Swarm Intelligence: Introduction and Applications
Swarm intelligence is a modern artificial intelligence discipline that is c- cerned with the design of multiagent systems with applications, e.g., in - timization and in robotics. The design paradigm for these systems is fun- mentally different from more traditional approaches. Instead of a sophisticated controller that governs the global behavior of the system, the swarm intelligence principle is based on many unsophisticated entities that cooperate in order to exhibit a desired behavior. Inspiration for the design of these systems is taken from the collective behavior of social insects such as ants, termites, bees, and wasps, as well as from the behavior of otheranimalsocietiessuchas?ocksofbirdsorschoolsof?sh.Coloniesofsocial insects have mesmerized researchers for many years. However, the principles that govern their behavior remained unknown for a long time. Even though the single members of these societies are unsophisticated individuals, they are able to achieve complex tasks in cooperation. Coordinated behavior emerges from relatively simple actions or interactions between the individuals.
1100408983
Swarm Intelligence: Introduction and Applications
Swarm intelligence is a modern artificial intelligence discipline that is c- cerned with the design of multiagent systems with applications, e.g., in - timization and in robotics. The design paradigm for these systems is fun- mentally different from more traditional approaches. Instead of a sophisticated controller that governs the global behavior of the system, the swarm intelligence principle is based on many unsophisticated entities that cooperate in order to exhibit a desired behavior. Inspiration for the design of these systems is taken from the collective behavior of social insects such as ants, termites, bees, and wasps, as well as from the behavior of otheranimalsocietiessuchas?ocksofbirdsorschoolsof?sh.Coloniesofsocial insects have mesmerized researchers for many years. However, the principles that govern their behavior remained unknown for a long time. Even though the single members of these societies are unsophisticated individuals, they are able to achieve complex tasks in cooperation. Coordinated behavior emerges from relatively simple actions or interactions between the individuals.
109.99 In Stock
Swarm Intelligence: Introduction and Applications

Swarm Intelligence: Introduction and Applications

Swarm Intelligence: Introduction and Applications

Swarm Intelligence: Introduction and Applications

Overview

Swarm intelligence is a modern artificial intelligence discipline that is c- cerned with the design of multiagent systems with applications, e.g., in - timization and in robotics. The design paradigm for these systems is fun- mentally different from more traditional approaches. Instead of a sophisticated controller that governs the global behavior of the system, the swarm intelligence principle is based on many unsophisticated entities that cooperate in order to exhibit a desired behavior. Inspiration for the design of these systems is taken from the collective behavior of social insects such as ants, termites, bees, and wasps, as well as from the behavior of otheranimalsocietiessuchas?ocksofbirdsorschoolsof?sh.Coloniesofsocial insects have mesmerized researchers for many years. However, the principles that govern their behavior remained unknown for a long time. Even though the single members of these societies are unsophisticated individuals, they are able to achieve complex tasks in cooperation. Coordinated behavior emerges from relatively simple actions or interactions between the individuals.

Product Details

ISBN-13: 9783642093432
Publisher: Springer Berlin Heidelberg
Publication date: 11/23/2010
Series: Natural Computing Series
Edition description: Softcover reprint of hardcover 1st ed. 2008
Pages: 286
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Biological Foundations of Swarm Intelligence.- Swarm Intelligence in Optimization.- Swarm Robotics.- Routing Prools for Next-Generation Networks Inspired by Collective Behaviors of Insect Societies: An Overview.- Applications.- Evolution, Self-organization and Swarm Robotics.- Particle Swarms for Dynamic Optimization Problems.- An Agent-Based Approach to Self-organized Production.- Organic Computing and Swarm Intelligence.
From the B&N Reads Blog
Page 1 of

Customer Reviews