Collective Intelligence (COIN)

Wael Rashwan

ISBN 10: 3639717341 / ISBN 13: 9783639717341

Published by Scholars' Press Mai 2014, 2014

About this Item

Neuware -A complex system is usually hard to describe, because it consists of several elements that interact with each other. Those interactions are often, and hence not directly proportional to their causes. Such complexity demands new approaches to design, control and optimize. This work explore the use of the COllective INtelligence (COIN) approach to address the challenges of the complex systems. A Collective is as a multi-agent system where each agent is self-interested, capable of learning. Also, the system has a well de¿ned objective function that rates the performance of the Collective. To demonstrate and explore the potential of the COIN theory, three experiments were investigated. In the ¿rst experiment, we investigated the power of the COIN approach to optimize a variant of the congestion game with full communication level. In the second experiment, we investigated how the COIN approach behaves when there is a communication restriction among the agents. Finally, we applied the COIN theory to the network packet routing problem with di¿erent topologies.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.

Seller Inventory # 9783639717341

Bibliographic Details

• Title: Collective Intelligence (COIN)
• Publisher: Scholars' Press Mai 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3639717341
• ISBN 13: 9783639717341
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 227 grams

About this title

Synopsis

A complex system is usually hard to describe, because it consists of several elements that interact with each other. Those interactions are often, and hence not directly proportional to their causes. Such complexity demands new approaches to design, control and optimize. This work explore the use of the COllective INtelligence (COIN) approach to address the challenges of the complex systems. A Collective is as a multi-agent system where each agent is self-interested, capable of learning. Also, the system has a well defined objective function that rates the performance of the Collective. To demonstrate and explore the potential of the COIN theory, three experiments were investigated. In the first experiment, we investigated the power of the COIN approach to optimize a variant of the congestion game with full communication level. In the second experiment, we investigated how the COIN approach behaves when there is a communication restriction among the agents. Finally, we applied the COIN theory to the network packet routing problem with different topologies.

About the Author

WAEL RASHWAN, MSc. is a PhD researcher in 3S Group (A research unit in College of Business - Dublin Institute of Technology (DIT) specialized in complex systems simulation and optimization). He joined the 3S (3sgroup.ie)in 2013. He has a B.Sc. and M.Sc. degree in operations research form Cairo University.