Kniha Agent-Based Hybrid Intelligent Systems Zili Zhang

Agent-Based Hybrid Intelligent Systems

An Agent-Based Framework for Complex Problem Solving

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 10-18 dnů
1 844
Solving complex problems in real-world contexts, such as financial investment planning or mining lar...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2004
Stránek
194
EAN
9783540209089
ISBN
3540209085
Enbook ID
01558995
Vydavatel
Hmotnost
330
Rozměry
155 x 233 x 11

Kompletní popis

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems.This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

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