Artificial Intelligence

Artificial Intelligence

Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving"

For now (January 2018), this page is a collection of my notes from my graduate class, which I will build upon and share with my students. The structure of this information is "note-taking, not ready for structured learning by students". 

The big ideas in AI

1. Natural Language Processing
2. Problems in AI
3. Characteristics of AI agents
4. Three fundamentals of knowledge-based AI
5. Four schools of AI
6. Semantic relationships
7. Means-Ends Analysis
8. Problem Reduction
9. Production System
10. Frames
11. Learning by recording cases
12. Case-based reasoning
13. Incremental concept learning
14. Logic
15. Planning
16. Primitive action

References

[[Category:Artificial Intelligence]

Devote time and attention to gaining knowledge of (an academic subject), especially by means of books