Swarm Intelligence


LOOKING TO PLACE A BULK ORDER?CLICK HERE

Piracy-free
Piracy-free
Assured Quality
Assured Quality
Secure Transactions
Secure Transactions
Fast Delivery
Fast Delivery
Sustainably Printed
Sustainably Printed
Delivery Options
Please enter pincode to check delivery time.
*COD & Shipping Charges may apply on certain items.
Review final details at checkout.

About The Book

<p>The notion of swarm intelligence was introduced for describing decentralized and self-organized behaviors of groups of animals. Then this idea was extrapolated to design groups of robots which interact locally to cumulate a collective reaction. Some natural examples of swarms are as follows: ant colonies bee colonies fish schooling bird flocking horse herding bacterial colonies multinucleated giant amoebae <i>Physarum polycephalum</i> etc. In all these examples individual agents behave locally with an emergence of their common effect.</p><p>An intelligent behavior of swarm individuals is explained by the following biological reactions to attractants and repellents. Attractants are biologically active things such as food pieces or sex pheromones which attract individuals of swarm. Repellents are biologically active things such as predators which repel individuals of swarm. As a consequence attractants and repellents stimulate the directed movement of swarms towards and away from the stimulus respectively.</p><p>It is worth noting that a group of people such as pedestrians follow some swarm patterns of flocking or schooling. For instance humans prefer to avoid a person considered by them as a possible predator and if a substantial part of the group in the situation of escape panic (not less than 5%) changes the direction then the rest follows the new direction too. Some swarm patterns are observed among human beings under the conditions of their addictive behavior such as the behavior of alcoholics or gamers.</p><p>The methodological framework of studying swarm intelligence is represented by unconventional computing robotics and cognitive science. In this book we aim to analyze new methodologies involved in studying swarm intelligence. We are going to bring together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. This book considers different models of simulating controlling and predicting the swarm behavior of different species from social bacteria to humans.</p>
downArrow

Details