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What you'll learn?
- Students will understand Artificial Intelligence.
- Students will sound like they know what they are talking about while discussing Artificial Intelligence.
Course Overview
In this course we introduce artificial intelligence, beginning with a brief history of attempts to understand mind and intelligence in philosophy, psychology, and other areas of research.
In an important sense, AI is an old science, tracing its roots back at least to Aristotle. An appreciation of this background is essential for an understanding of the issues addressed in modern research. We also present an overview of some of the important application areas in AI. Our goal in level 1 is to provide both background and a motivation for the theory and applications that follow.
Later, in level 2, we'll introduce the research tools for AI problem solving. These include, the predicate calculus presented both as a mathematical system as well as a representation language to describe the essential features of a problem.
Pre-requisites
- Come with an open mind.
Target Audience
- Anyone interested in Artificial Intelligence
Curriculum 11 Lectures 01:26:01
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Section 1 : Artificial Intelligence: History and Applications
- Lecture 2 :
- Attitudes toward Intelligence, Knowledge, and Human Artifice
- Lecture 3 :
- A Brief History of the Foundations for AI - Part 1
- Lecture 4 :
- A Brief History of the Foundations for AI - Part 2
- Lecture 5 :
- AI and the Rationalist and Empiricist Traditions
- Lecture 6 :
- The Development of Formal Logic - Part 1
- Lecture 7 :
- The Development of Formal Logic - Part 2
- Lecture 8 :
- The Turing Test - Part 1
- Lecture 9 :
- The Turing Test - Part 2
- Lecture 10 :
- Biological and Social Models of Intelligence: Agents Theories - Part 1
- Lecture 11 :
- Biological and Social Models of Intelligence: Agents Theories - Part 2
Our learners work at
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