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Courses>Game Development>Graph Algorithms for AI in Games
DevelopmentGraph Algorithms for AI in Games
Price:Paid
Length:2.5 hours
Content type:video
level:intermediate
Updated:20 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Game Development>Graph Algorithms for AI in Games
Graph Algorithms for AI in Games
3.6 (212.0)
2.5 hours
212 students
What you will learn
1Make graphs to represent your game state
2Use the breadth first search on your regular graphs
3Implement the depth first search with your usual graphs
4Use pathfinding in your grid and mazes
5Work with optimizing the Heuristics in your game
6Implement A* Search for a more balanced Heuristics
7Create your very own Pac Mac like Game
Target audiences
1If you are interested in AI and Games and want to learn the fundamental concepts to implement, then this video is what you need!
Requirements
1Having some knowledge of programming languages and algorithms will help you to get the most out of the video.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you're looking for the fastest time to get to work, cheapest way to connect a set of computers into a network you will need algorithms on graphs.

For using the efficient algorithm to automatically find communities and opinion leaders on Facebook, you're going to work with graphs and algorithms on graphs. This course will serve as an introduction to graphs and present their increasingly complex algorithms that work on graphs. In the course, you will start by understanding how graphs can be used in games to represent various states and how searching graphs can help us. The course will introduce you to pathfinding, which is one of the most commonly solved problems in game AI. The course will then show you how to Optimize the pathfinding.

Finally, at the end of the course, you will learn the concept of meta-heuristics which can be used to find general solutions in complex domains.

About the Author

Daniel Jallov loves developing games with a flair for artificial intelligence and procedural content generation. He wrote a Master’s Thesis on how to procedurally generate artificial intelligence and how to build a game where the uncertainties of procedurally generated AI are used to engage the users rather than scare them away.

He is by no means a competitive gamer, but he enjoys games as a way to relax, to get challenged and to be entertained. I love the cinematic feel of modern AAA games, and he loves the intense game play experience of Super Hexagon and Hotline Miami. He loves getting lost in a deep story, and grinding for loot in a deep cave. He loves isolating himself in another world and playing local multiplayer’s with friends.

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Careertail
Courses>Game Development>Graph Algorithms for AI in Games
DevelopmentGraph Algorithms for AI in Games
Price:Paid
Length:2.5 hours
Content type:video
level:intermediate
Updated:20 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Game Development>Graph Algorithms for AI in Games
Graph Algorithms for AI in Games
3.6 (212.0)
2.5 hours
212 students
What you will learn
1Make graphs to represent your game state
2Use the breadth first search on your regular graphs
3Implement the depth first search with your usual graphs
4Use pathfinding in your grid and mazes
5Work with optimizing the Heuristics in your game
6Implement A* Search for a more balanced Heuristics
7Create your very own Pac Mac like Game
Target audiences
1If you are interested in AI and Games and want to learn the fundamental concepts to implement, then this video is what you need!
Requirements
1Having some knowledge of programming languages and algorithms will help you to get the most out of the video.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you're looking for the fastest time to get to work, cheapest way to connect a set of computers into a network you will need algorithms on graphs.

For using the efficient algorithm to automatically find communities and opinion leaders on Facebook, you're going to work with graphs and algorithms on graphs. This course will serve as an introduction to graphs and present their increasingly complex algorithms that work on graphs. In the course, you will start by understanding how graphs can be used in games to represent various states and how searching graphs can help us. The course will introduce you to pathfinding, which is one of the most commonly solved problems in game AI. The course will then show you how to Optimize the pathfinding.

Finally, at the end of the course, you will learn the concept of meta-heuristics which can be used to find general solutions in complex domains.

About the Author

Daniel Jallov loves developing games with a flair for artificial intelligence and procedural content generation. He wrote a Master’s Thesis on how to procedurally generate artificial intelligence and how to build a game where the uncertainties of procedurally generated AI are used to engage the users rather than scare them away.

He is by no means a competitive gamer, but he enjoys games as a way to relax, to get challenged and to be entertained. I love the cinematic feel of modern AAA games, and he loves the intense game play experience of Super Hexagon and Hotline Miami. He loves getting lost in a deep story, and grinding for loot in a deep cave. He loves isolating himself in another world and playing local multiplayer’s with friends.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot