Knowledge-Based AI: Cognitive Systems

Online Course

Udacity
Knowledge-Based AI: Cognitive Systems

What is the course about?

Knowledge-Based AI: Cognitive Systems
The course Knowledge-Based AI: Cognitive Systems is an online class provided by Udacity. The skill level of the course is Advanced. It may be possible to receive a verified certification or use the course to prepare for a degree.
This class is offered as CS7637 at Georgia Tech where it is a part of the Online Masters Degree (OMS). Taking this course here will not earn credit towards the OMS degree.
Course description
  • Knowledge-Based AI: Cognitive Systems
  • 7 weeks
  • The Core of Artificial Intelligence
  • This is a core course in artificial intelligence. It is designed to be a challenging course, involving significant independent work, readings, assignments, and projects. It covers structured knowledge representations, as well as knowledge-based methods of problem solving, planning, decision-making, and learning.
  • The class is organized around three primary learning goals. First, this class teaches the concepts, methods, and prominent issues in knowledge-based artificial intelligence. Second, it teaches the specific skills and abilities needed to apply those concepts to the design of knowledge-based AI agents. Third, it teaches the relationship between knowledge-based artificial intelligence and the study of human cognition.
  • Introduction to KBAI and Cognitive Systems
  • Fundamentals
  • Common Sense Reasoning
  • Planning
  • Learning
  • Analogical Reasoning
  • Visuospatial Reasoning
  • Design & Creativity
  • Metacognition
  • Where Knowledge-Based AI fits into AI as a whole
  • Cognitive systems: what are they?
  • AI and cognition: how are they connected?
  • Semantic Networks
  • Generate & Test
  • Means-Ends Analysis
  • Problem Reduction
  • Production Systems
  • Frames
  • Understanding
  • Common Sense Reasoning
  • Scripts
  • Logic
  • Planning
  • Learning by Recording Cases
  • Incremental Concept Learning
  • Classification
  • Version Spaces & Discrimination Trees
  • Case-Based Reasoning
  • Explanation-Based Learning
  • Analogical Reasoning
  • Constraint Propagation
  • A good course on computer programming such as CS 1332 or Udacity’s CS 101 is beneficial for students. An introductory course on Artificial Intelligence, such as Georgia Tech’s CS 3600 or CS 6601, is recommended but not required.
  • To succeed in this course, you should be able to answer ‘Yes’ to the following four questions:
  • See the Technology Requirements for using Udacity.
  • At the conclusion of this class, you will be able to accomplish three primary tasks. First, you will be able to design and implement a knowledge-based artificial intelligence agent that can address a complex task using the methods discussed in the course. Second, you will be able to use this agent to reflect on the process of human cognition. Third, you will be able to use both these practices to address practical problems in multiple domains.

Prerequisites & Facts

Knowledge-Based AI: Cognitive Systems

Course Topic

Autonomous Flight, Flying Car

University, College, Institution

Udacity

Course Skill Level

Advanced

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Knowledge-Based AI: Cognitive Systems

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udacity
Knowledge-Based AI: Cognitive Systems
provided by Udacity

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School: Udacity
Topic: Autonomous Flight, Flying Car
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