1 Foundations of Artificial Intelligence Free Online FlashCards

What is artificial intelligence?

Artificial intelligence is the field of building computer systems that perform tasks associated with abilities such as perception, reasoning, learning, and decision-making.

What outputs might an AI system produce?

An AI system produces outputs such as predictions, recommendations, or decisions in pursuit of human-defined objectives.

Name several abilities associated with AI tasks.

AI systems may perform tasks involving perception, language use, reasoning, learning, planning, and decision-making.

Does an AI system necessarily think or understand like a person?

No. AI describes a system’s capabilities and methods; it does not prove that the system has human-like consciousness or understanding.

What is narrow AI?

Narrow AI is designed for a particular task or limited set of tasks, such as recognizing speech. Most current AI applications are narrow AI.

What is an algorithm?

An algorithm is a procedure or set of steps for solving a problem or carrying out a computation.

What is the significance of the 1956 Dartmouth workshop?

The 1956 Dartmouth workshop is commonly regarded as the beginning of AI as an organized research field.

How does machine learning differ from explicit rule-based programming?

Rule-based software follows explicit instructions written for cases the program should handle. Machine-learning systems use examples to adjust a model to capture patterns.

Have learning-based AI methods made rule-based approaches obsolete?

Rule-based and learning-based approaches remain useful for different problems, and many products combine learned models with ordinary software logic.

What does artificial general intelligence (AGI) describe?

Artificial general intelligence (AGI) is a proposed form of AI able to perform a wide range of intellectual tasks at a broadly human level.

What role can data play in machine learning?

Data is information used by a computer system. In machine learning, examples in data can help a system learn patterns.

What is a model in AI?

A model is a computational representation used to produce an output, such as a prediction or classification.