This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each

Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental

Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with s

Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts relate