Channel: TheHappieCat

Category: Science & Technology

Tags: thehappiecatfsmalgorithmsstrategicgoapconcepthow to make aithehappycatfinite state machinesexplainedartificial intelligencehappycatgame developmenthappiecatf.e.a.r. aiplanningfear aigamesdata structurestutorialgoal oriented action planning

Description: In this video, we look at how simple AI systems work, and how we can create "smarter" AI that create and execute plans. We'll learn how to code a modified form of the GOAP AI in a future programming tutorial. This month's dev challenge theme is artificial intelligence! Head over here for more information: reddit.com/r/TheHappieMakers/comments/4sxqg5/game_dev_challenge_artificial_intelligence My second channel! youtube.com/c/TheHappierCat2 Ask questions in the subreddit: reddit.com/r/TheHappieMakers Find me on Twitter: twitter.com/TheHappieCat Or Facebook: facebook.com/TheHappieCat And sometimes Twitch: twitch.tv/happiecat Resources from this video: Jeff Erickson's Algorithms Notes: jeffe.cs.illinois.edu/teaching/algorithms Jeff Orkin's GDC Paper on F.E.A.R. and GOAP: alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear.pdf Food example adapted from this repository's implementation of GOAP: github.com/sploreg/goap Behavior tree diagram from: gamasutra.com/blogs/ChrisSimpson/20140717/221339/Behavior_trees_for_AI_How_they_work.php Gameplay clips used from Youtube users: ElectroEthan, Dante XII, NintenU, World of Longplays, SaikyoMog, Seanleeuw I do not own resources used in this video. They are used under fair use. Stay happie :)