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Rashwan Wael (14 results)
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Primary Arabic Sentence Builders - Part Zero (The Language Gym - Sentence Builder Books)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 19.45
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Collective Intelligence (Coin)
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3639717341 ISBN 13: 9783639717341
Condition: New.
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Taschenbuch. Condition: Neu. Collective Intelligence (COIN) | A Packet Routing Application | Wael Rashwan | Taschenbuch | 140 S. | Englisch | 2014 | Scholars' Press | EAN 9783639717341 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Arabic Sentence Builders
Language: English
Published by Piefke Trading Singapore, 2023
ISBN 10: 3949651810 ISBN 13: 9783949651816
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Arabic Sentence Builders
Language: English
Published by Piefke Trading Singapore, 2023
ISBN 10: 3949651810 ISBN 13: 9783949651816
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 18.82
£ 4.16 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Print on Demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Collective Intelligence (COIN)
Language: English
Published by Scholars' Press Mai 2014, 2014
ISBN 10: 3639717341 ISBN 13: 9783639717341
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 140 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rashwan WaelWAEL 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)i.
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Collective Intelligence (Coin)
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3639717341 ISBN 13: 9783639717341
Condition: New. Print on Demand pp. 140 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
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Collective Intelligence (COIN)
Language: English
Published by Scholars' Press Mai 2014, 2014
ISBN 10: 3639717341 ISBN 13: 9783639717341
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
