After taking the course, diligently attending the classes and doing the assignments, thoroughly reading, and actively participating in discussions, students should be able to:
Identify key challenging research questions related to advanced machine learning and (AML) artificial general intelligence (AGI)
List methodological difficulties and proposed solutions to building AML/AGI systems
Explain key components of some AML/AGI architectures, and how these relate to the creation of truly intelligent machines of the future
Students should have a good idea of:
The limitations of current AI methodologies
How AGI differs from “narrow AI”
Some AML/AGI projects in progress
What the main requirements are for building complete minds
What methodologies are currently available and applicable for building complete minds
How software architecture plays a central role in AI, robotics, and AGI
How to apply presently-known techniques and methodologies for building complex AI systems