Approaches to AI: Combination of three sources
How to define and more importantly how to perceive the different approaches of AI remains as quite a ragbag.
Here's the definition of the different approaches of three relatively well-known sources. Yes, I have included Wikipedia here, Wikipedia articles on AI are relatively good and clear at least in giving the overview on the subject.
I still struggle myself to see the overall picture and structure clearly enough. The idea of this post is just to continue processing that further and perhaps building a summary of the approaches later on - from my structure-loving and systematic point of view.
Cambridge Handbook of AI: Approaches to AI
1. GOFAI (Good Old-Fashioned Artificial Intelligence)
2. Connectionism and neural networks
3. Dynamical systems and embedded cognition
Wikipedia, the overall article "Artificial intelligence"
1. Cybernetics and brain simulation
2. Symbolic AI
- Cognitive simulation
- Anti-logic or scruffy
- Embodied intelligence
- Computational intelligence and soft computing
5. Integrating the approaches
- Intelligent agent paradigm
- Agent architectures and cognitive architectures
Artificial Intelligence - A Modern Approach
The book is built on the idea and concept of an intelligent agent.
1. Acting humanly: The Turing Test approach
2. Thinking humanly: The cognitive modeling approach
3. Thinking rationally: The “laws of thought” approach
4. Acting rationally: The rational agent approach