Artificial Intelligence: Difference between revisions
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# [[Case-based reasoning]] | # [[Case-based reasoning]] | ||
# [[Incremental concept learning]] | # [[Incremental concept learning]] | ||
# [[Logic]] | |||
== Standards == | == Standards == | ||
Revision as of 12:02, 20 February 2018
Artificial Intelligence[1]
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"[2]
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[edit]
- Natural Language Processing
- Problems in AI
- Characteristics of AI agents
- Three fundamentals of knowledge-based AI
- Four schools of AI
- Semantic relationships
- Means-Ends Analysis
- Problem Reduction
- Production System
- Frames
- Learning by recording cases
- Case-based reasoning
- Incremental concept learning
- Logic
Standards[edit]
References[edit]
[[Category:Artificial Intelligence]