Probability Collectives (Hardcover)
Anand Jayant Kulkarni
Verkauft von AussieBookSeller, Truganina, VIC, Australien
AbeBooks-Verkäufer seit 22. Juni 2007
Neu - Hardcover
Zustand: Neu
Anzahl: 1 verfügbar
In den Warenkorb legenVerkauft von AussieBookSeller, Truganina, VIC, Australien
AbeBooks-Verkäufer seit 22. Juni 2007
Zustand: Neu
Anzahl: 1 verfügbar
In den Warenkorb legenHardcover. This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts. This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Bestandsnummer des Verkäufers 9783319159997
This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.
This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.
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