Agent-based hybrid framework for decision making on complex problems

Hybrid intelligent systems are crucial for complex decision-making, but difficult to design and develop. This thesis proposed a general agent-based framework, which can greatly facilitate the analysis, design and construction of hybrid intelligent systems. Experiments conducted indicate the systems based on the framework are flexible, robust and fully functional.