How "Smart" AI (Basically) Works in Games (Goal Oriented Action Planning) скачать в хорошем качестве

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:   / game_dev_challenge_artificial_intelligence   My second channel!    / thehappiercat2   Ask questions in the subreddit:   / thehappiemakers   Find me on Twitter:   / thehappiecat   Or Facebook:   / thehappiecat   And sometimes Twitch: twitch.tv/happiecat Resources from this video: Jeff Erickson's Algorithms Notes: http://jeffe.cs.illinois.edu/teaching... Jeff Orkin's GDC Paper on F.E.A.R. and GOAP: http://alumni.media.mit.edu/~jorkin/g... Food example adapted from this repository's implementation of GOAP: https://github.com/sploreg/goap Behavior tree diagram from: http://www.gamasutra.com/blogs/ChrisS... 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 :)