(SI) is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems. The expression swarm intelligence was introduced by Beni & Wang in 1989, in the context of cellular robotic systems.

SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. Although there is normally no centralized control structure dictating how individual agents should behave, local interactions between such agents often lead to the em ....etc

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Abstract
Swarm-bots consist of a collection of mobile robots able to self-assemble and to self-organize so to
solve problems that could not be solved by a single robot. They combines the power of swarm
intelligence and the flexibility of self-reconfiguration as aggregate swarm-bots have the ability to
dynamically change their structure to match environmental variability.
SWARM-BOTS, a project funded by the Future and Emerging Technologies program of the
European Community (project IST-2000-31010), focuses on the design and the imp ....etc

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Particle Swarm Optimization Algorithm and Its Application in Engineering Design Optimization

The Particle Swarm Optimization (PSO) method was originally proposed by J.Kennedy as a simulation of social behavior, and it was insitially introduced as an optimization method in 1995 (Eberhart and Kennedy, 1995). The PSO is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms looking for the most fertile feeding location. PSO's foundation is based on the principle that each solution ....etc

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Modified particle swarm algorithm and swarm intelligence
by
Irene Antony Tharayil
105107
Department of Computer Science & Engineering
College of Engineering Trivandrum
Kerala - 695016
2010-11


Abstract
Swarm intelligence (SI) is emerged with collective intelligence of groups of simple agents. SI
oers an alternative way of designing intelligent system, in which autonomy, emergence and
distributed functioning replaces control, preprogramming and centralization systems.Particle
....etc

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Swarm Intelligence Swarm intelligence has captured considerable attention (e.g. Bonabeau, Kennedy). With swarm intelligence, small units or agents no smarter than an ant, can solve network problems, such as the traveling salesman problem. The problem of finding needed information in the world wide web is substantially more complicated than the problem of finding the shortest path through a network. Yet it has similarities to the problem that real ants face when they seek food. While some ants navigate by reference to the sun (Gallistel; Bisch-K ....etc

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Swarm Intelligence

Swarm Intelligence is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems. The expression swarm intelligence was introduced by Beni & Wang in 1989, in the context of cellular robotic systems.

SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. Although there is normally no centralized control structure dictating how individual a ....etc

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This article is presented by:SANJAY BARUA
VAYJSALYA INSTITUTE OF SCIENCE & TECHNOLOGY
IT – 3/4


ABSTRACT

ANTS technology builds on and advances recent trends in robotics, artificial intelligence, and materials processing to minimize costs and maximize effectiveness of space operations. The electro-mechanical marvel can be deployed in space and it can, all by itself, transform into rovers, bowl-shaped antennas, hut-like human shelters, or more specialized service provid ....etc

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(SI) is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems. The expression swarm intelligence was introduced by Beni & Wang in 1989, in the context of cellular robotic systems. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. Although there is normally no centralized control structure dictating how individual agents should behave, local interactions between such agents often lead to the emerg ....etc

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Definition

An automotive controller that complements the driving experience must work to avoid collisions, enforce a smooth trajectory, and deliver the vehicle to the intended destination as quickly as possible. Unfortunately, satisfying
these requirements with traditional methods proves intractable at best and forces us to consider biologically -inspired techniques like Swarm Intelligence.

A controller is currently being designed in a robot simulation program with the goal of implementing the system in real hardware to investigate these ....etc

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