Chapter 2: Introduction to Artificial Intelligence

Published on Slideshow
Static slideshow
Download PDF version
Download PDF version
Embed video
Share video
Ask about this video

Scene 1 (0s)

. Chapter 2: Introduction to Artificial Intelligence.

Scene 2 (7s)

. What is covered?. At the end of this chapter, learners will be able to.

Scene 3 (25s)

. Key words and definitions. Artificial Intelligence: a subfield of Computer Science that aims to enable computers perform intelligently like humans based on sensory signals Machine Learning (ML) is a cognitive computing process that enables a computer to think and act intelligently to simulate human behaviour based on specific training of data.

Scene 4 (49s)

. The role of the computing machines from the AI perspective.

Scene 5 (2m 13s)

. What is Game Theory?. We define Game Theory as choosing from a set of rational choices in a multi-agent situation In Game Theory, we deal with deciding on a given set of options An important thing to notice here is the phrase multi-agent situation- it means our choice affects the choices of the opponent in the game, and their decision affects our choices.

Scene 6 (2m 31s)

. How is Game Theory connected to Artificial Intelligence?.

Scene 7 (2m 50s)

. In AI, problems can be of two types. Network with pins.

Scene 8 (3m 12s)

. Game theory. To sum it up, the game theory is used in AI whenever there is more than one person involved in solving a logical problem..