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AI for Games
Examines artificial intelligence (AI) in video games, covering various fundamental concepts and applications. It begins by outlining core AI elements like rule-based systems, movement algorithms including pathfinding (Dijkstra's, A), and decision-making techniques such as decision trees, state machines, behavior trees, fuzzy logic, and goal-oriented behaviors*. The text also explores tactical and strategic AI, including influence mapping and cellular automata, alongside learning algorithms like parameter modification, action prediction, and neural networks. Finally, it addresses practical considerations for implementing game AI, such as architectural design, scheduling, level of detail, world interfacing, tools for content creation, programming languages, and genre-specific AI design.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/AI-Games-Third-Ian-Millington/dp/1138483974?&linkCode=ll1&tag=cvthunderx-20&linkId=131ebc7c3f9589229efcdad3b7f7d00e&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/AI-Games-Third-Ian-Millington/dp/1138483974?&linkCode=ll1&tag=cvthunderx-20&linkId=131ebc7c3f9589229efcdad3b7f7d00e&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
View all episodes
By CyberSecurity Summary
2.2
55 ratings
Examines artificial intelligence (AI) in video games, covering various fundamental concepts and applications. It begins by outlining core AI elements like rule-based systems, movement algorithms including pathfinding (Dijkstra's, A), and decision-making techniques such as decision trees, state machines, behavior trees, fuzzy logic, and goal-oriented behaviors*. The text also explores tactical and strategic AI, including influence mapping and cellular automata, alongside learning algorithms like parameter modification, action prediction, and neural networks. Finally, it addresses practical considerations for implementing game AI, such as architectural design, scheduling, level of detail, world interfacing, tools for content creation, programming languages, and genre-specific AI design.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/AI-Games-Third-Ian-Millington/dp/1138483974?&linkCode=ll1&tag=cvthunderx-20&linkId=131ebc7c3f9589229efcdad3b7f7d00e&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/AI-Games-Third-Ian-Millington/dp/1138483974?&linkCode=ll1&tag=cvthunderx-20&linkId=131ebc7c3f9589229efcdad3b7f7d00e&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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