Artificial Intelligence Research Flashcards
What are 2 classifications of AI?
rule-based and neural-network based
What does rule-based AI focus on?
symbols and logic
From which question did rule-based AI start?
How to symbolize concepts or intelligence?
What are the main areas of interest with rule-based AI?
mathematical theorem proving and natural language processing
What did rule-based AI shift towards in the early 1980s?
expert systems applications
In what areas does rule-based AI perform well?
deductive reasoning, logical reasoning, expert systems
True or false: No groundbreaking methodology has arisen for rule-based AI since the mid 1980s?
true
What are some limitations of rule-based AI?
training difficult to implement, limitations in pattern recognition for text, voice, video, etc.
Where do neural networks take their ideas from?
the connections between neurons in the human brain
When and with who did the neural network research begin?
1957, Rosenblatt
After what did neural network research decline rapidly?
the publication of ‘Perceptrons’ in 1969
What is the latest learning method in the neural network family?
deep learning
What is the main difference between rule-based AI and ANN-based AI?
rule-based asks “What does the brain do?” and ANN-based asks “How does the brain work?”
What are the research fields for rule-based AI?
mathematical theorem proofs/problem solving, natural language processing (NLP), and expert systems
What are applications of NLP AI?
chatbots, translators, spam filters, search engines