The world of artificial intelligence (AI) includes many areas in computing, which makes it a complex field. This course provides a useful description of AI, which will allow you to describe real-world problems as artificial environments.
start the course
describe the four main definitions of artificial intelligence
describe some of the fields in artificial intelligence research and their applications
list some of the techniques used to build artificial intelligence systems
define intelligent agents
describe the different types of intelligent agents
define the task environment that intelligent agents live in
distinguish between an observable, a partially observable, and an unobservable environment, and describe how these affect agents
describe how the number of agents in a given environment can affect an agent
define deterministic and stochastic environments and how the level of certainty in an environment affects agents
describe the different types of environmental behavior and how this can affect agents
Practice: Agents and Environments
create a description of an environment related to a particular problem and how an agent might behave in that environment
The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.