Książka Evolutionary Multi-Agent Systems ALEKSANDER BYRSKI

Evolutionary Multi-Agent Systems

From Inspirations to Applications

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
604.26
This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent s...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2018
strony
210
EAN
9783319846378
ISBN
9783319846378
Enbook ID
19433797
Waga
454
Wymiary
155 x 235 x 235

Pełny opis

This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results. Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.

Możesz być zainteresowany

422.63

Blue Equinox

Aleister Crowley
71.89

The Only Good Indians

JONES STEPHEN GRAHAM
63.05

Nation Of Plants

Gregory Conti
73.97

Radio Works: 1946-48

Antonin Artaud
65.03

Easy Tiki

Chloe Frechette
66.23
246.47

Corona, False Alarm?

Sucharit Bhakdi
49.74

After Jutland

James Goldrick
164.64
32.27

Love and Other Words

Christina Lauren
40.90
215.48

Love Beyond Wanting

BETHANY CLAIRE
50.73

Revolution in Color

Jane Kamensky
119.26

Factfulness

Hans Rosling
76.06

The Safekeep

Yael van der Wouden
60.66
1 256.50

Charcoal Artisan Sketch Book

Flame Tree Publishing
64.44
581.23

Klienci, którzy kupili tę książkę, kupili również

70.89
102.07

Pucio u lekarza

Marta Galewska-Kustra
23.53

Krawiec

Vincent V. Severski
40.21

Le petit Prince

Antoine de Saint Exupéry
34.65