Artificial Intelligence Fundamentals and State Space Search

Name: Artificial Intelligence Fundamentals and State Space Search
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Rating: 3.6 (36 reviews)

Learn how to use AI and the state space search problem-solving technique in this free online computer science course.

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Learning Outcomes

In this free course, you will learn how to:

Define ‘artificial intelligence’ and describe the associated subfield of computer science and its evolution
Describe the state space search used in AI
Discuss the main characteristics and types of intelligent agents
Explain the Königsberg system and its resolution
Define a ‘finite state machine’ (FSM) used in the context of artificial intelligence
Compare the breadth-first search (BFS) and depth-first search (DFS)
Discuss the depth-first search (DFS) Graph and Iteration 6
Indicate the state space of the 8-Puzzle
Outline the solution for the ‘travelling salesman’ problem
Identify the general graph search and algorithms utilised in AI
List the breadth-first search (BFS) states
Describe the significance and usage of the backtracking graph in the state space search

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