Artificial Intelligence: Difference between revisions
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[[file:AI.png|right|frame|Artificial Intelligence<ref>http://www.flaticon.com/</ref>]] | [[file:AI.png|right|frame|Artificial Intelligence<ref>http://www.flaticon.com/</ref>]] | ||
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"<ref>https://en.wikipedia.org/wiki/Artificial_intelligence</ref> | 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"<ref>https://en.wikipedia.org/wiki/Artificial_intelligence</ref> | ||
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 == | == The big ideas in AI == | ||
[[Natural Language Processing]] | |||
# [[Natural Language Processing]] | |||
[[Problems in AI]] | # [[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]] | |||
# [[Planning]] | |||
# [[Primitive action]] | |||
== Standards == | == Standards == | ||
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<references /> | <references /> | ||
[[Category:Artificial Intelligence] | [[Category:Artificial Intelligence]] | ||
Latest revision as of 14:46, 31 May 2023
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
- Planning
- Primitive action