Current approaches to AGI
Several approaches have been proposed to develop AGI systems, including:
- Symbolic AI: This approach focuses on developing AI systems that can reason and solve problems using symbolic representations, such as logic and mathematics.
- Connectionist AI: This approach uses connectionist models, such as neural networks, to learn and represent knowledge.
- Hybrid approaches: Many researchers believe that the best approach to AGI is to combine elements of both symbolic and connectionist AI.