Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving

Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving

Zhang, Zili
Zhang, Chengqi

Paperback

DatabasesGeneral ComputersProgramming

ISBN10: 3540209085
ISBN13: 9783540209089
Publisher: Springer
Published: Jan 28 2004
Pages: 194
Weight: 0.68
Height: 0.46 Width: 6.14 Depth: 9.21
Language: English

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.

Also in

Programming

View All