TheHappieCat's video: How Smart AI Basically Works in Games Goal Oriented Action Planning

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: https://www.reddit.com/r/TheHappieMakers/comments/4sxqg5/game_dev_challenge_artificial_intelligence/ My second channel! https://www.youtube.com/c/TheHappierCat2 Ask questions in the subreddit: https://www.reddit.com/r/TheHappieMakers/ Find me on Twitter: https://twitter.com/TheHappieCat Or Facebook: https://www.facebook.com/TheHappieCat/ And sometimes Twitch: twitch.tv/happiecat Resources from this video: Jeff Erickson's Algorithms Notes: http://jeffe.cs.illinois.edu/teaching/algorithms/ Jeff Orkin's GDC Paper on F.E.A.R. and GOAP: http://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear.pdf Food example adapted from this repository's implementation of GOAP: https://github.com/sploreg/goap Behavior tree diagram from: http://www.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 :)