Hybrid intelligent system
Hybrid intelligent system denotes a software system which employs, in parallel, a combination of methods and techniques from artificial intelligence subfields, such as:
- Neuro-symbolic systems
- Neuro-fuzzy systems
- Hybrid connectionist-symbolic models
- Fuzzy expert systems
- Connectionist expert systems
- Evolutionary neural networks
- Genetic fuzzy systems
- Rough fuzzy hybridization
- Reinforcement learning with fuzzy, neural, or evolutionary methods as well as symbolic reasoning methods.
An example hybrid is a hierarchical control system in which the lowest, reactive layers are sub-symbolic. The higher layers, having relaxed time constraints, are capable of reasoning from an abstract world model and performing planning.
Intelligent systems usually rely on hybrid reasoning processes, which include induction, deduction, abduction and reasoning by analogy.