Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Corriere Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Probabilistic Reasoning in Multiagent Systems

Name: Probabilistic Reasoning in Multiagent Systems
Brand: Cambridge University Press
SKU: 04090988
Price: 69.29 EUR
Availability: InStock
Author: Yang Xiang
ISBN: 9780521153904

Yang Xiang

Lingua

Inglese

Libro In brossura

Codice Libristo: 04090988

Casa editrice Cambridge University Press, giugno 2010

This 2002 book investigates the opportunities in building intelligent decision support systems offer... Descrizione completa

Codice Libristo: 04090988

170 b

69.29 €

Magazzino esterno Inviamo tra 9-15 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

Il prezzo Elisa Bruno

In brossura

18.09 €

Harry Potter és a Félvér Herceg Joanne K. Rowling

In brossura

15.19 €

Hématologie - Hématologie adulte et pédiatrique - Onco-hématologie Bachy

In brossura

39.19 €

Isaac le pirate - Tome 5 - Jacques Blain Christophe

Rigido

21.29 €

PEDRO MONTES: INICIACION AL PIANO BOOGIE-WOOGIE EN 3D (LIBRO/CD/DVD) PIANO+DVD MONTES Libro

binding.

44.09 €

Ema y un verano inolvidable: Un cuento de verano de yoga para ni?os Giselle Shardlow

In brossura

12.59 €

08/Nebelsee (Remastered Edition) Gabriel Burns

CD audio

12.09 €

Los doce trabajos de Hércules Christian Grenier

In brossura

11.89 €

This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.