Probability Collectives (Paperback)
Anand Jayant Kulkarni
Verkauft von Grand Eagle Retail, Bensenville, IL, USA
AbeBooks-Verkäufer seit 12. Oktober 2005
Neu - Softcover
Zustand: Neu
Anzahl: 1 verfügbar
In den Warenkorb legenVerkauft von Grand Eagle Retail, Bensenville, IL, USA
AbeBooks-Verkäufer seit 12. Oktober 2005
Zustand: Neu
Anzahl: 1 verfügbar
In den Warenkorb legenPaperback. 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 multiple locations in the US or from the UK, depending on stock availability.
Bestandsnummer des Verkäufers 9783319365213
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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