->

Implementing AI to Play Games

Implementing AI to Play Games
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 767 MB
Genre: eLearning | Language: English


In video games, Artificial Intelligence is used to generate responsive or intelligent behavior primarily in Non-Player Characters (NPCs), like human intelligence. In this course, we look at games; we understand how to decide which move to take based on future possibilities and payoffs (just as, in chess, we look n-moves ahead into the future).

We explore how to solve applications where there are a number of parameters to optimize, such as time or distance, and the possibilities are exponential. We look at how to design the various stage of the evolutionary algorithm that will control performance. We take a sample game—Tic-Tac-Toe—and show how various steps of the algorithm are implemented in code. And we look at color filling as a constraint satisfaction application and see how various algorithm concepts are applied in code.

Finally, we also explain a trip-planning application and see how the application is solved through evolutionary algorithms.

 

Implementing AI to Play Games
Implementing_AI_to_Play_Games__Video_.part1.rar - 225.0 MB
Implementing_AI_to_Play_Games__Video_.part2.rar - 225.0 MB
Implementing_AI_to_Play_Games__Video_.part3.rar - 225.0 MB
Implementing_AI_to_Play_Games__Video_.part4.rar - 92.3 MB


 TO MAC USERS: If RAR password doesn't work, use this archive program: 

RAR Expander 0.8.5 Beta 4  and extract password protected files without error.


 TO WIN USERS: If RAR password doesn't work, use this archive program: 

Latest Winrar  and extract password protected files without error.


 nagy   |  

Information
Members of Guests cannot leave comments.




rss