CS408: ADVANCED ARTIFICIAL INTELLIGENCE
Details
This course will present advanced topics in Artificial Intelligence (AI). We will begin by defining the term "software agent” and discussing how software agents differ from programs in general. We will then take a look at those problems in the field of AI that tend to receive the most attention. Different researchers approach these problems differently. In this course, we will focus on how to build and search graph data structures needed to create software agents, an approach that you will find useful for solving many problems in AI. We will also learn to "break down” larger problems into a number of more specific, manageable sub-problems.
In the latter portion of this course, we will review the study of logic and conceptualize the differences between propositional logic, first-order logic, fuzzy logic, and default logic. After learning about statistical tools commonly used in AI and about the basic symbol system used to represent knowledge, we will focus on artificial neural network and machine learning, which are essential components of computational and statistical methods, and theoretical computer science. The course will then conclude with a study of the Turing machine and a discussion of the questionable claims that human thinking is a symbol manipulation.
Outline
-
Course Introduction
-
Unit 1: Intelligent Agents and Problems Of AI
-
Unit 2: Solving Problems By Searching
-
Unit 3: Logical Agents And Knowledge Representation
-
Unit 4: Learning
-
Unit 5: Philosophical Foundations of AI
-
Course Evaluation Survey
-
Final Exam
Saylor Academy’s mission is to open education to all.
Saylor Academy’s mission is sustained by the continued evolution of an open educational ecosystem, and we are dedicated partners in this movement. Saylor’s commitment to the open education ecosystem is founded not just on open educational resources and open source learning technologies, but also on open access to credentials, and ongoing open learning opportunities.
Guided by these beliefs, Saylor Academy is currently focused on the following projects:
Open Courses: Maintenance and Learner-Centered Improvements
- A commitment to the OER community means that we’ll continue to replace open access materials with openly licensed ones in an effort to make Saylor courseware as reusable and remixable as possible.
- Open courses require more instructional supports for learners, so our current improvements focus on ensuring better and more frequent opportunities for Saylor students to practice what they’re learning.
Open Credentials: Adding New Opportunities and Bolstering Existing Ones
- We’re working on expanding our suite of Saylor Direct credit recommended exams, and we’re also keen on working with university partners to develop innovative and flexible partner degree launching and completion programs. ...
Related Courses
