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

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 intell...