Center for Analysis and Design of Intelligent Agents

After taking the course, diligently attending the classes, and doing assignments, thoroughly reading the readings, and actively participating in discussions, students should…

…be able to describe and explain:

• Where AI came from and what its aims are
• The limitations of contemporary AI methodologies
• The difference between “narrow AI” and general intelligence
• Ongoing next-generation projects in industry and academia
• Architectural requirements for building agents
• The role of cognitive architecture in AI, robotics, and general machine intelligence
• Describe potential solutions to advancing the field of AI
• List key methodological difficulties in building advanced AI systems

…posses the following skills:

• Running existing experimental AI systems
• Programming a GMI-oriented system
• Foresee how AI might evolve over the next few years – even decades – based on a variety of scientific, economic and political assumptions 

…have acquired the following competences:

• Explain key components of some AML/GMI architectures, and how these relate to the creation of truly intelligent machines of the future
• Explain key components of next-gen AI architectures
• Describe the key cognitive processes that lack a scientific theoretical backing
• Explain what is involved in a scientific approach to researching intelligence
• Identify exaggeration and misunderstandings about AI in the media and online forums
• Detect bull#*%^& in articles and general conversations about AI

2025©K.R.Thórisson